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6347 papers and 192 presentations; 5898 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 A Map to Success with Data Visualization Using ODS Statistical Graphics Richann J. Watson,
Louise S. Hadden		 source 23
WUSS 2026 A Weighted Deming Regression SAS Macro Jesse Albert Canchola,
Brahian Urrego,
Natasha Oza		 source 29
WUSS 2026 Beyond a P-Value Vending Machine: Becoming a Research Partner, Not a Service Provider Mehrnaz Siavoshi source 10
WUSS 2026 Building Better Data Science Workflows: Best Practices with Git, GitHub, Data Version Control (DVC), and MLflow for Open-Source Collaboration Ryan Paul Lafler source 15
WUSS 2026 Data Step Your Workflow and Macro Your Way to Automation: Importing Thousands of Excel Reports That Aren't Datasets Richard Rivera,
Humberto Cisneros		 source 16
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
WUSS 2026 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
WUSS 2026 PROC SORT (then and) NOW Derek P. Morgan source 11
WUSS 2026 Take CoMmanD of Your Log: Using CMD to Check Your SAS Program Logs Richann J. Watson source 12
WUSS 2026 The Essentials of SAS Dates and Times Derek P. Morgan source 24
WUSS 2026 Your PROCs Meet AI: Fuzzy vs. Semantic Matching in SLC Yulia Horwath source 31
PharmaSUG CN 2026 A Comprehensive R Shiny Application for Pharmacokinetic Analysis Keyi Zhang source 17
PharmaSUG CN 2026 A Standardized Programming Framework for Daily Dose Dataset Construction from Multi-Source Clinical Data Xianjun Li,
Chengye Lu		 source 10
PharmaSUG CN 2026 AI-Native Real-Time SDTM Mapping and Exploration Agent Hao Chen,
Xuejie Zhou,
Haomin Yang,
Qianwang Wang		 source 13
PharmaSUG CN 2026 An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub Zhiping Yan source 28
PharmaSUG CN 2026 Efficient Strategies for Handling Data Issues in Clinical Trial Submissions Kate Sun source 7
PharmaSUG CN 2026 Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation Jingbo Zhu,
Jiehan Zhang		 source 17
PharmaSUG CN 2026 Implementation of IPCW in Oncology Trials and Enhanced SAS Macro Tools Jiayi Chen,
Meiqing Huang		 source 13
PharmaSUG CN 2026 The reporter package: A Powerful Reporting Package to Replicate SAS Output Bill Huang source 24
PharmaSUG 2026 A fully automated PDF solution using SAS without third-party PDF tools Zhongan Chen source 10
PharmaSUG 2026 A Map to Success with Data Visualization Using ODS Statistical Graphics Richann J. Watson,
Louise S. Hadden		 source 23
PharmaSUG 2026 A specification-driven approach to improve the reliability of AI-generated SDTM transformation programs Rostislav Markov source 6
PharmaSUG 2026 A Statistical Programmer-s Guide to Tipping Point Analysis in SAS Ang Xu source 9
PharmaSUG 2026 A systematic approach for imputing missing dose information in population pharmacokinetic analysis datasets Prema Sukumar,
Renuka Hegde,
Erin Dombrowsky,
Neelima Thanneer		 source 7
PharmaSUG 2026 aCRF In Full: A Complete Solution for Relatively Little Work Carlo Radovsky source 4
PharmaSUG 2026 ADaM Pet Peeves Part 2: More Things Programmers Do That Make Us Crazy Sandra Minjoe,
Nancy Brucken,
Alyssa Wittle,
Nate Freimark,
Richann J. Watson,
Paul K. Slagle,
Tatiana Sotingco		 source 15
PharmaSUG 2026 Algorithms to align the distribution of follow-up across independently collected cohorts when comparing time to event endpoints using conventional Kaplan Meier and Cox regression methods. Shankar Srinivasan,
Yvonne Buttkewitz,
Regina Uttenreuther,
Baldeep Chani Talwar,
Manjari Dissanayake		 source 12
PharmaSUG 2026 Assessing Quality of Real-World Data Sources S. Robert Collins source 4
PharmaSUG 2026 Automating Table Generation in Real-World Data Programming: An AI-Assisted Approach Sachin Heerah,
Darren Jeng		 source 12
PharmaSUG 2026 Beyond Imitation: Selecting Synthetic Data with Purpose and Precision Sundaresh Sankaran,
Pritesh Desai,
Sherrine Eid		 source 9
PharmaSUG 2026 Beyond Today-s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact Sherrine Eid source 15
PharmaSUG 2026 Biostatistical Foundations 201: Privacy Preserving Patient Linkage Across Real World Data Sources Anbu Damodaran source 8
PharmaSUG 2026 Building Better Data Science Workflows: Best Practices with Git, GitHub, and Data Version Control (DVC) for Effective Collaboration Ryan Paul Lafler source 17
PharmaSUG 2026 Construction and Evaluation of External Controls Using Propensity Score Methods Bala Niharika Pillalamarri,
Yayu Li,
Hongbing Jin		 source 14
PharmaSUG 2026 Contrast Effects in Curated Observational Data Shankar Srinivasan,
Helen Guo,
Yvonne Buttkewitz		 source 16
PharmaSUG 2026 Finding Macros Called Within A Directory of SAS Programs Derek P. Morgan,
Tatiana Kazakova		 source 11
PharmaSUG 2026 Following Your Footsteps: Maintaining Traceability in ADaM Datasets [presentation] Nancy Brucken,
Karl Miller		 source 59
PharmaSUG 2026 From Chaos to Clarity: A Programmer-s Perspective on Standardizing Population Pharmacokinetic (PopPK) Data for Regulatory Success Naveen Muppalla,
Shibani Harite		 source 7
PharmaSUG 2026 From Data to Dossier: Lessons from Cross-Company Regulatory Submissions Nikita Joseph,
Gayathri Mahadevan		 source 7
PharmaSUG 2026 From Molecular Subtypes to Bedside Decisions: An AI Approach for Personalized Critical Care Recommendations Xi Jiang,
Scott McClain		 source 8
PharmaSUG 2026 From Suspicion to Evidence: Automating Character Truncation Risk Audits with a Parameterized SAS Macro and Review-Ready Excel Output Xinran Hu source 7
PharmaSUG 2026 Implementing Dynamic Time Warping in SAS 9.4 Using PROC IML: An Alternative Approach for Time-Series Model Evaluation Yida Bao,
Philippe Gaillard,
Wei Yao,
Zheng Zhang,
Rui Wang		 source 13
PharmaSUG 2026 ISO 8601 and SAS-and R! A Practical Approach Derek P. Morgan,
Marckenley Mercie		 source 17
PharmaSUG 2026 Linear versus Log-Log Confidence Intervals for Kaplan-Meier Survival Estimates: Statistical Rationale and Practical Implementation using SAS 9.4 Prayag Shah source 8
PharmaSUG 2026 My DIY Swiss Army Knife of SAS Procedures: A Macro Approach of Forging with My Favorite PROCs Jason J. Su source 11
PharmaSUG 2026 Navigating Early Career Challenges in PK/ADA Statistical Programming Diyu Yang,
Sandeep Meesala		 source 11
PharmaSUG 2026 Oncology Solid Tumor Subcutaneous vs Intravenous Late-stage Study Analysis Sumanjali Mangalarapu,
Chuqing Chen,
Anilkumar Anksapur		 source 11
PharmaSUG 2026 PSMATCH: Propensity Score Matching of Clinical Trial Data with External Control Arms Ginger Barlow source 8
PharmaSUG 2026 Quantifying Expression Divergence to Identify Candidate RNA-Binding Proteins Modulating Nonsense-Mediated Decay Across Human Tissues Using t-SNE Embedding Analysis Liangwei He source 13
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PharmaSUG 2026 SAS and R for Expanding Data for Pharmacometrics Analysis (PMx) Analysis Data Sets Jeffrey Rathbun,
Rebecca Humphrey		 source 8
PharmaSUG 2026 SAS Programming techniques for efficiency and code optimization Jayanth Iyengar source 27
PharmaSUG 2026 Take CoMmanD of Your Log: Using CMD to Check Your SAS Program Logs Richann J. Watson source 12
PharmaSUG 2026 The Tipsy Hangover: Avoiding Indent Headaches in SAS Reports Lisa A. Mendez,
Richann J. Watson		 source 22
PharmaSUG 2026 Two Paths, One PK Journey: The Art of Balancing ADPC and ADNCA Ashok Abburi,
Rakhe Jacob,
Shibani Harite		 source 7
PharmaSUG 2026 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PharmaSUG 2026 Virtual Data, Real Standards: Leveraging Data Simulation for Smarter Clinical Trials Sangeeta Shabadi,
Nitesh Patil,
Jonathan Henshaw		 source 16
PharmaSUG 2026 Visualizing PK and ADA Data at Scale: A Parameter-Driven SAS Macro for Box Plot Generation Prasannanjaneyulu Narisetty,
Anilkumar Anksapur		 source 9
PHUSE US 2026 Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies Ummul Vara Qurratul Ain source
presentation source		 10
PHUSE US 2026 Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development Lingsong Yun source
presentation source		 17
PHUSE US 2026 CCI Proposals In Clinical Documents - Gap Analyses [presentation] Radu Popescu,
Silvia Garrido-Lestache		 source 14
PHUSE US 2026 Coding Clinical R with Confidence: Digital AI Assistant based on Self-Hosted LLMs Kostiantyn Drach source
presentation source		 8
PHUSE US 2026 Data Cleaning and Gene Expression Visualisation in Haematological Conditions Nasreen Bano,
Ashwika Papasani		 source
poster source		 6
PHUSE US 2026 Defining Time Zero: Evaluating Index Line Selection Methods in External Control Arms (ECAs) Peishan(Jenny) Han,
Lorraine Fang		 source
presentation source		 5
PHUSE US 2026 Enhancing ISS Analyses with the Continuity-Corrected CMH Method: An SAS-Based Solution for Zero-Event Strata Ji Qi,
Kaixiang Li		 source
presentation source		 5
PHUSE US 2026 From Complexity to Consistency: Scalable Anonymization Across Clinical Trial Portfolios [presentation] Ahmed Eldafrawy,
Danielle DiBonaventura		 source 22
PHUSE US 2026 From Data to Dossier: Lessons from Cross-Company Regulatory Submissions Nikita Joseph,
Gayathri Mahadevan		 source
presentation source		 7
PHUSE US 2026 How R We Now? Tracking Industry Progress in Adopting R and Open-Source for Clinical Reporting Andrzej Białaś,
Ashley Tarasiewicz		 source
presentation source		 8
PHUSE US 2026 Integrated Summary of Safety (ISS) Demystified: Practical Considerations for a Successful ISS Ji Qi,
Lily Cheng		 source
presentation source		 8
PHUSE US 2026 Is There Really Any Benefit to Stratified Randomisation in Practice? Pavankumar Bhagat source
presentation source		 9
PHUSE US 2026 Mapping Minimal Residual Disease (MRD) Biomarker Data in Hematologic Malignancies: Clinical Significance and Data Standards in SDTM and ADaM Jyothi Nelakurthi source
presentation source		 8
PHUSE US 2026 One eye open, one eye closed: How to approach masking in open-label oncology study Abhay Kumar source
presentation source		 8
PHUSE US 2026 Optimising R Package Development: A Detailed Guide to Workflow and Best Practices Tejaskumar Mehta,
Rikkin Parekh		 source
poster source		 11
PHUSE US 2026 Practical Survival Analysis Techniques for Clinical Trials Using SAS Xue Ding,
Tianchen Xu		 source
presentation source		 10
PHUSE US 2026 Privacy-Preserving Methods for Oncology Research Using Differential Privacy Elena Valkanova source
poster source		 12
PHUSE US 2026 Robust Causal Inference in Real-World Evidence Studies with Double Machine Learning Yilun Huang,
Jing Dai		 source
presentation source		 5
PHUSE US 2026 Statistical Programming Methods for Evaluating the Impact of Immunogenicity on Safety and Efficacy Outcomes Dinesh Putluri,
Rakesh Padigala		 source
presentation source		 10
PHUSE US 2026 Supporting Clinical Trial Recruitment Using Real-World Data Yi-Chien Lee source
presentation source		 2
PHUSE APAC 2026 Accelerating Pharma Innovation: The Role of SAS Synthetic Data Soundarya Palanisamy,
Anand Phand		 source
presentation source		 7
PHUSE APAC 2026 Annualized Relapse Rate and Clinical Profiles in South Korean Multiple Sclerosis Patients: A Sample Cohort Study Using Korean National Health Insurance Data Seongjun Byun,
Jisuk Jo		 source
presentation source		 8
PHUSE APAC 2026 Beyond Toxicity : Accelerating Dose -Finding with Pharmacokinetic -Driven Bayesian Design PKBOIN-12 Anetta Mary Xavier source
presentation source		 13
PHUSE APAC 2026 Connecting Open-Source and Enterprise Software: Enhancing Phase III Clinical Trial Design Through R Integration in East Horizon Pradip Maske,
Anoop Rawat		 source
presentation source		 6
PHUSE APAC 2026 Crafting a recipe for success : Aligning Target Product Profiles and study design to ensure statistical significance translates to clinical relevance and role of DGF Soumitra Kar,
Novo Nordisk GBS		 source
presentation source		 9
PHUSE APAC 2026 Critical & Sensitive Information (CSI) Paper AS02 Revolutionizing Clinical Quality: A Frontier Approach with Quality by Design (QbD), Infrastructure Modernization and Data-Driven Analytics Priti Gupta,
Deepa Balaji		 source
presentation source		 12
PHUSE APAC 2026 Development of Statistical Scientists for Pharmaceutical Drug Development at India Global Capability Centres Suresh Chenji source
presentation source		 6
PHUSE APAC 2026 Elastic Net Meets BART: A Hybrid Virtual Twins Approach for Reliable Subgroup Identification Alexis Bernard Dalam source
presentation source		 10
PHUSE APAC 2026 Estimation of the Hypothetical Estimands using Longitudinal version of the TMLE Shreya Wahi source
presentation source		 8
PHUSE APAC 2026 Faster Patient Recruitment in Clinical Trials through Simulations Keerthana Udupa source
presentation source		 7
PHUSE APAC 2026 Genomics Findings (GF) Ruba Sivasamy source
poster source		 6
PHUSE APAC 2026 Innovating Clinical Signal Surveillance: Real-Time Dashboards for Protocol and PK Deviation Monitoring Rubina Pathan,
Jinu J. Nair		 source
poster source		 7
PHUSE APAC 2026 Innovative Strategies for Managing Missing Data in Real-World Data: Insights from APAC Global Capability Centers Likhita Kolli,
Tuhin James Paul		 source
poster source		 12
PHUSE APAC 2026 Leveraging Large Language Models (LLMs) for Missing Data Imputation and Interpretation of Real-World Evidence Outputs Spencer Langerman,
Rahul Manohar Somavanshi		 source
presentation source		 12
PHUSE APAC 2026 MetaSuite: Empowering Network Meta-Analysis in Clinical Research Through Interactive Visualizations and User-Friendly Evidence Synthesis Tools Hirak Sen Roy source
poster source		 12
PHUSE APAC 2026 Working with Biomarker - What Every Programmer Should Know Aboli Katdare source
presentation source		 14
PHUSE EU 2025 AI-Native Issue-Risk Intelligence: Connecting Issues to Known Risks and Identifying Emerging Risks Lawrence Dennison-Hall,
Alok Singh		 source
presentation source		 14
PHUSE EU 2025 Automated QC Framework for Reliable ADNCA Dataset Generation with {admiral} Valentin Legras,
Lucy Aspridis		 source
presentation source		 4
PHUSE EU 2025 Bayesian Inference for Medical Device Reliability: Improving Safety and Effectiveness Assessments Shrutimita Pokhariyal source
presentation source		 7
PHUSE EU 2025 Beyond Tokenisation: Considerations for Linking Healthcare Data Sets for Scientific Research Jennifer Dusendang,
Yuval Koren		 source
presentation source		 6
PHUSE EU 2025 Contributions to CAMIS PHUSE Project in 2025: Tobit Regression, Reference-based Multiple Imputation and Tipping Point Analysis Yannick Vandendijck source
presentation source		 12
PHUSE EU 2025 Enhancing the Validation and Simulation of Real-World Multi-Site Data with R Nikolay Trankov,
Elena Chaparova,
Alexandrina Lambova,
Stavros Oikonomou		 source
presentation source		 11
PHUSE EU 2025 Evaluating the Use of Real-World Data (RWD) as a Synthetic Control Group: A Statistical Approach Vasiliki Economou,
Dimitrios Kounelis		 source
poster source		 17
PHUSE EU 2025 Fit-For-Purpose Approach of RBQM in Small Clinical Trials [presentation] Alicja Mark,
Agnes Verhoeven		 source 15
PHUSE EU 2025 From Breaking Bad to Breaking Data: Unlocking TFL PDFs Andrés Käsa,
Darius Tetsa		 source
presentation source		 13
PHUSE EU 2025 How to map lab data into the LB domain and ADLB Bert Parmet source
poster source		 6
PHUSE EU 2025 Inverse Probability Weighting in Multiple Groups: Balancing Baseline Characteristics and Improving Precision of Average Treatment Effect Estimation Dimitris Karletsos source
presentation source		 11
PHUSE EU 2025 Is There Really Any Benefit to Stratified Randomisation Compared to Simple Randomisation with Covariate Adjustment? Pavankumar Bhagat source
presentation source		 9
PHUSE EU 2025 JSON for Submissions: Why You Should Care, What You Need To Know, and What To Do Now Bill Qubeck,
Sridhar Vijendra		 source
presentation source		 13
PHUSE EU 2025 Mind the Gap: Imputing Missing Dosing Times in QD & BID Regimens Using ADPPK Guidelines Aschwin van der Giesen,
Gerly van der Vleuten		 source
presentation source		 8
PHUSE EU 2025 Multiple Imputations Overview of Missing Data Problem, Solution Methods and SAS Implementation Dmytro Kalinin source
presentation source		 13
PHUSE EU 2025 Navigating Experimental Arms in Subtype Studies: Strategies for Precision and Clarity Narek Torosyan,
Edgar Sargsyan		 source
presentation source		 4
PHUSE EU 2025 One sample Log-Rank test for one sample survival studies: SAS code vs R code Giulio Pacini,
Menarini Ricerche,
Giulia Tonini,
Menarini Ricerche,
Simona Scartoni,
Menarini Ricerche		 source
presentation source		 5
PHUSE EU 2025 Pharmacokinetics Is Simple... Sometimes Vincent Buchheit source
presentation source		 12
PHUSE EU 2025 Plunging into Pools: Dive into a Comparative Analysis of Pooled TLFs with R Sophie Khan source
poster source		 9
PHUSE EU 2025 Revolutionising Clinical Trial Monitoring and Data Analysis with AR- and VR-Driven Immersive Analytics Tej Narayan Yadav,
Saurabh Das		 source
presentation source		 7
PHUSE EU 2025 risk.assessr: extracting OOP function details Edward Gillian,
Hugo Bottois,
Paulin Charliquart		 source
presentation source		 10
PHUSE EU 2025 Smarter SAS logging-with a macro AI hasn't mastered (yet) Jules Van der Zalm source
presentation source		 11
PHUSE EU 2025 Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks Regina Stegherr,
Claudia Schmoor,
Jan Beyersmann,
Kaspar Rufibach,
Valentine Jehl,
Andreas Brückner,
Lewin Eisele,
Thomas Künzel,
Katrin Kupas,
Frank Langer,
Friedhelm Leverkus,
Anja Loos,
Christiane Norenberg,
Florian Voss,
Tim Friede		 source
poster source		 13
PHUSE EU 2025 Synthetic Data - the Game Changer in Drug Development Soundarya Palanisamy,
Anette Dalsgaard Jakobsen		 source
presentation source		 7
PHUSE EU 2025 Unlocking Healthcare Insights: Graph-Based Modelling and Analysis of Synthetic Patient Data George Panagiotakis,
Nikolaos Kountouris		 source
presentation source		 18
PHUSE EU 2025 Untangling the Dependencies Web Rhys McCrosson source
presentation source		 12
PHUSE EU 2025 Using Visual Dashboards to Improve Data Accuracy Daniel Smith source
poster source		 8
PHUSE EU 2025 Validated Statistical Computing: A Kubernetes Framework for Regulatory-Compliant R, Python and SAS Deployments T. Randall Betancourt,
Tim Fantuzzo		 source
presentation source		 53
MWSUG 2025 Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy Professional Kirk Paul Lafler,
Charu Shankar		 source 49
MWSUG 2025 Feature Selection and Classification Using Fuzzy Logic Ross Bettinger source 39
MWSUG 2025 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
MWSUG 2025 Logistic Regression Odyssey on a Small Sample Due to Rare Cancer [presentation] Brandy R. Sinco,
Jessie Dalman,
Tasha Hughes		 source 46
MWSUG 2025 Multivariate Ratio Edits Using Tolerance Intervals [presentation] Daniel Tuyisenge,
Derek Young,
Thomas Mathew		 source 26
MWSUG 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis Danny R. Modlin source 57
SESUG 2025 Comparing analysis method implementations in software (CAMIS) Brian K. Varney 4
SESUG 2025 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson 15
SESUG 2025 How to Create a Spreadsheet-driven Batch Job Using R and SASSY David J. Bosak 8
SESUG 2025 Introduction to Data Simulation Jason Brinkley 10
SESUG 2025 Investigation of the Wage Gap between Sexes in Agriculture Jordyne Lewis 10
SESUG 2025 Lookup Tables (LUT) in SAS and Data-Driven Programming Imelda C. Go,
Abbas S. Tavakoli		 17
SESUG 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis Danny R. Modlin 57
SESUG 2025 SAS and R in Action: Comparison of XPT File Creation Chen Ling 7
SESUG 2025 Statistical Programmer's role in Bioresearch Monitoring (BIMO) package creation Sampath Madanu 25
SESUG 2025 You've Got Options: Five-Star SAS System Option Hacks Louise S. Hadden 9
WUSS 2025 Accredited, Bona fide, Certified, Diploma'ed, and Edumacated: The ABCDEs of Automating the Validation and Monitoring of Professional Requirements for Employees and Job Candidates Through Dynamic, Data-Driven SAS Reporting Troy Martin Hughes source 20
WUSS 2025 Badge in Batch with Honeybadger: Generating Conference Badges with Quick Response (QR) Codes Containing Virtual Contact Cards (vCards) for Automatic Smart Phone Contact List Upload Troy Martin Hughes source 15
WUSS 2025 Evolving Human Emotions Under a Global Crisis: An Analysis of Popular Music Sentiment Hamed Hemmati,
Bennett Frohock		 source 23
WUSS 2025 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
WUSS 2025 Implementing Sequence Analysis for Life Course Epidemiology in SAS: A Practical Guide Mehrnaz Siavoshi source 7
WUSS 2025 PFS2, did you hear about it too? - Understanding the derivation of Progression Free Survival on next-line therapy (PFS2). Yeshashwini Chenna,
Lupetu Ntambwe		 source 11
WUSS 2025 PROC BGLIMM: The Smooth Transition to Bayesian Analysis [presentation] Danny R. Modlin source 57
WUSS 2025 The Role of Congruity and Gendered Leadership Expectations in Higher Education: A Meta-Analysis of Bias and Leadership Evaluations Among Women Leaders Mehrnoosh Golshahifar source 13
PharmaSUG 2025 ADaM implementation for Anti-drug Antibody Data Jiannan Kang,
Luke Reinbolt		 source 19
PharmaSUG 2025 Addressing early challenges in RWD data standardization for analysis and reporting of RWE studies Xingshu Zhu,
Li Ma,
Bo Zheng		 source 9
PharmaSUG 2025 AI Search LOG Zhuo Chen,
Martha Cao,
Ted Lystig,
Sateesh Arjula		 source 8
PharmaSUG 2025 AI-Assisted Transition: from SAS to RStudio for PK Summary Analysis Shiqi Lin source 9
PharmaSUG 2025 An Introduction to the Role of Statistical Programming in Medical Affairs Nagadip Rao source 9
PharmaSUG 2025 Application of advanced GenAI tools in sample size estimation - questions and thoughts Igor Goldfarb,
Ella Zelichonok		 source 12
PharmaSUG 2025 Association of Alzheimer-s Disease with Cardiovascular Disease and Depression in Older Adults: Findings from the 2018 Nationwide Inpatient Sample Prayag Shah source 27
PharmaSUG 2025 Automating Superscript Display for Upper and Lower Limit of Quantification Values in Pharmacodynamic Tables Anu Eldho source 7
PharmaSUG 2025 Beyond Tokenization: Considerations for Linking Healthcare Data Sets for Scientific Research Jennifer Dusendang,
Yuval Koren		 source 7
PharmaSUG 2025 Building a Scalable Training Platform for R: Empowering Analytics Excellence in Corporate Initiatives Michelle Page-Lopez,
Martyn Walker		 source 7
PharmaSUG 2025 Clopper Pearson CI? get your data ready for it! Ruth Marisol Rivera Barragan,
Isaac Vazquez		 source 7
PharmaSUG 2025 Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy Professional Charu Shankar,
Kirk Paul Lafler		 source 49
PharmaSUG 2025 Controlling attributes of .xpt files generated by R Yachen Wang,
Chen Ling		 source 13
PharmaSUG 2025 Cytokine Release Syndrome (CRS) - Data Collection, Clinical Database Integration and Analyses in a Dose Escalation Cell Therapy Trial Cyrille Correia,
Venky Chakravarthy		 source 13
PharmaSUG 2025 Efficient Strategies for Handling Data Issues in Clinical Trial Submissions Kate Sun source 7
PharmaSUG 2025 Evaluation of the Process to Create CLINSITE define.xml: Macro Approach vs. ADCLIN Spec Yizhuo Zhong,
Yunyi Jiang,
Christine S Teng		 source 8
PharmaSUG 2025 Getting under the "umbrella" of Specimen-based Findings Domains! Soumya Rajesh,
Kapila Patel		 source 11
PharmaSUG 2025 Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals Michael Carnival source 14
PharmaSUG 2025 Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis Yuxin Wang,
Kelly Chao,
Wenqing Yu,
Hongbing Jin		 source 11
PharmaSUG 2025 Multiple Imputation Techniques in the Context of ADaM Datasets Shunbing Zhao,
Linping Li		 source 11
PharmaSUG 2025 Optimizing SAS Programming Pipelines Using the %Unpack and %SearchReplace Macros for Version Control and Customization Ning Ning,
Assir Abushouk		 source 8
PharmaSUG 2025 Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS Zhao Yang,
Shivani Nanda		 source 18
PharmaSUG 2025 Putting the 'R- in RWD: Leveraging R and Posit to enhance Real World Data Programming Darren Jeng,
Sachin Heerah		 source 7
PharmaSUG 2025 Roadmap to Efficacy Analysis for Early Phase Oncology studies Dhruv Bansal,
Christiana Hawn,
Chris Kelly		 source 23
PharmaSUG 2025 SAS Macro to Calculate Standardized Mean Difference Tong Zhao,
Tian Gu		 source 2
PharmaSUG 2025 Simulating Optimal Sample Sizes for Canine Jaws Using SAS Chary Akmyradov,
Lida Gharibvand		 source 11
PharmaSUG 2025 The Allowable Total Difference Zone: A construction method using the ATDzone SAS Macro Jesse Albert Canchola,
Natasha Oza		 source 20
PharmaSUG 2025 The Current State of Teaching Biostatistics in Academia: Challenges and Software Solutions Lida Gharibvand source 5
PharmaSUG 2025 Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words Iryna Kotenko source 8
PharmaSUG 2025 Unveiling Paradoxical Pathways: A Counterintuitive Compass for Strategic Decision-Making Anbu Damodaran source 14
PharmaSUG 2025 Using SAS with Microsoft 365: A Programming Approach Chris Hemedinger source 14
PharmaSUG 2025 Visualizing oncology data through 3D bar charts in R and Python Girish Kankipati,
Venkatesulu Salla		 source 18
PharmaSUG 2025 Why SASSY? David J. Bosak source 13
PharmaSUG 2025 You don-t have to handle the truth! Three Things to Know about Synthetic Data Catherine Briggs,
S. Robert Collins,
Sundaresh Sankaran		 source 7
PHUSE US 2025 A Customized Algorithm to Evaluate the Quality and Reliability of Real-World Lab Data Lihai Song source
presentation source		 10
PHUSE US 2025 Accelerating PKPD Analysis with Automated DDI Variable Creation: An SAS-Based Approach Sunil Mummidisetty,
Harish Ganesan		 source
presentation source		 7
PHUSE US 2025 An Intuitive Way to Derive the Last Known Alive Date in R Marckenley Mercie,
Diana Tai		 source
presentation source		 12
PHUSE US 2025 Challenges of Genomic Data in Clinical Trials Hong Zheng,
Lingsong Yun		 source
presentation source		 8
PHUSE US 2025 Comparing Confidence Intervals for a Difference in Adjusted Predicted Probabilities Cralen Davis,
Trevano Dean		 source
presentation source		 5
PHUSE US 2025 Data Transformation: Achieving Compliance with Irregular Data Reyes Eduardo Elizalde Duarte source
presentation source		 6
PHUSE US 2025 Demystifying the Handling and Mapping of External Data to CDISC Standards in Clinical Trials Murali Kanakenahalli,
Vamsi Kandimalla		 source
presentation source		 12
PHUSE US 2025 Differential Privacy (DP) Approach for Sharing Survival Analysis Data Elena Valkanova,
Bulat Fatykhov		 source
poster source		 11
PHUSE US 2025 Enhancing Data Accuracy and Collaboration Through Efficient Data Reconciliation Using SAS in Clinical Trials Piyush Makkapati,
Swathi Nattam		 source
presentation source		 8
PHUSE US 2025 eProtocol and the Promise of Automation Bill Qubeck,
Suhas Giriraj		 source
presentation source		 17
PHUSE US 2025 Evolution of Genomic Data Mapping from PF to GF in SDTM v3.4: Concepts, Challenges and Controlled Terminology with Genetic Variation Examples Rama Kudaravalli source
presentation source		 7
PHUSE US 2025 Machine Learning-Enabled Personalised Medicine for Rapidly Evolving Infectious Diseases Jonathon Schisler,
Scott McClain		 source
presentation source		 8
PHUSE US 2025 Mapping OMAP Data to SDTM - Use Case for RWD in CAR-T Registry Studies Kai Deng,
Joe Xi		 source
presentation source		 5
PHUSE US 2025 More Than a p-Value: Understanding the Differences Between Clinical and Statistical Significance Jasperlynn Kao,
Elnaz Ghadimi		 source
presentation source		 4
PHUSE US 2025 Planning Ahead: A Novel Approach to Creating Synthetic Immunogenicity Data Ruilan Wei source
presentation source		 5
PHUSE US 2025 Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis Navneet Jha source
presentation source		 11
PHUSE US 2025 The Role of Quantitative Bias Analysis (QBA) in Ensuring the Reliability of Real-World Evidence (RWE) in Regulatory Submissions Brian Gillette,
Tasha Nagamine		 source
presentation source		 6
PHUSE US 2025 Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges Jaskaran Singh Saini source
presentation source		 11
PHUSE US 2025 Unlocking the Secrets of Health: A Unified Approach to Biomarker and Clinical Data Integration Pavan Kumar Tatikonda source
presentation source		 8
MWSUG 2024 An Animated Guide to Proc Report Internals Russell M. Lavery source 31
MWSUG 2024 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
MWSUG 2024 Bring Your SAS and Python Worlds Together With SASPy! [presentation] Ted Conway source 32
MWSUG 2024 Evaluating Internal Consistency of Questionnaire Data Yida Bao,
Zheng Zhang,
Jiafeng Ye,
Liangliang Xu,
Tao Jiang,
Yongli Zhao,
Philippe Gaillard		 source 15
MWSUG 2024 How to Land Work as a SAS Professional Charu Shankar source 24
MWSUG 2024 Making Text Analytics More Approachable: From Traditional to Generative AI for Business Applications [presentation] Vikranth Reddy Chapaala source 13
MWSUG 2024 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
MWSUG 2024 SAS Job Searching and Interviewing tips - Strategies in the Post-Pandemic era Jayanth Iyengar source 17
MWSUG 2024 The Business Value of Diversity Combined with Data Science [presentation] Stephen B. Sloan source 14
MWSUG 2024 Using SAS/STAT: A Gentle Introduction to Some Frequently Used Tools [presentation] Melodie Rush source 123
MWSUG 2024 What if Proc Power Can't Help? Calculating Power via Simulation, Example with Count Regression Brandy R. Sinco,
Joceline Vu,
Pasithorn Suwanabol		 source 16
MWSUG 2024 What's Your Favorite Color? Controlling the Appearance of a Graph Richann J. Watson source 33
PHUSE EU 2024 Artificial Intelligence Potential Use Cases in Clinical Data Engineering Deepak Pakalapati,
Mounika Pillamarapu		 source
presentation source		 8
PHUSE EU 2024 Biomarkers Unleashed: A Programming Pipeline from Chaos to Clarity in Genomic Data Saskia Ständler,
Lea Zittlau		 source
presentation source		 10
PHUSE EU 2024 Bootstrap Simulation for Outlier Detection in Operational Site Metrics Using Patient Reassignment Björn Koneswarakantha source
presentation source		 3
PHUSE EU 2024 Challenges and Wins of Pooling Internal and External Alzheimer's Data for Secondary Use Michaela Mertes,
Iska Gans		 source
presentation source		 9
PHUSE EU 2024 Challenges Faced When Creating Dosing Records for a Population PK Dataset Marianne van Vugt,
Gerly van der Vleuten		 source
presentation source		 3
PHUSE EU 2024 Comparison of the Wilcoxon-Signed Rank Test with the Hodges-Lehmann Estimator in SAS, R and StatXact as Part of the PHUSE CAMIS Project Agnieszka Tomczyk,
Lyn Taylor		 source
presentation source		 7
PHUSE EU 2024 Database Lock Is Only the Beginning: The Long, Winding Journey of Secondary Data Reuse at Roche Tamara Senior source
presentation source		 3
PHUSE EU 2024 Failed Clinical Trials: How to Benefit From Negative Experience Anna Amosova source
presentation source		 13
PHUSE EU 2024 Innovation of Causal Inferential Frameworks for Biostatistics in Real-World Data and Evidence Anwesha Roy source
poster source		 8
PHUSE EU 2024 Leveraging Bayesian Posterior Probability for Analysing Treatment Effects in Clinical Trials: A Statistical Programmer's Guide Vismaya Kondassam Veedu source
presentation source		 7
PHUSE EU 2024 The Prentice-Wilcoxon Test to Study Time to Healing for Split Face, Double Blind, Dermatology Clinical Trials Shrutimita Pokhariyal,
Craig Wesselman		 source
presentation source		 10
PHUSE EU 2024 Transcriptomics - A Demanding Data Analysis that Expands the Limits of Regulated Clinical Data Handling Lea Yoshida Hildebrandt source
presentation source		 6
PHUSE EU 2024 Working with Omics data - A Statistical Programmers perspective Adrian Czaban source
presentation source		 10
SESUG 2024 A SAS MACRO to parse clinical conductor timesheets Kennedy Kamau Gachigi source 6
SESUG 2024 An Integrative Analyzer for Publicly Available COVID-19 Genome-wide Association Studies Zhongshan Cheng source 14
SESUG 2024 C-SSRS Questionnaire Dataset Design for Assessing Suicide Risk in Neuroscience Studies Anupriya Lakshmipathy source 6
SESUG 2024 Comparative Tools in SAS: Analyzing Self-Reported versus Imputed Values Neesha Nathwani,
Sarah Woodruff		 source 30
SESUG 2024 Creating a Publication-Quality Multi-Panel Graph For Generalized Linear Model Analysis. Neeta Shenvi source 19
SESUG 2024 Examining the R datastep() Function David J. Bosak source 12
SESUG 2024 Investigating the Role of Radiomics in PET Image Analysis for Improved T-Stage Tumor Staging Victor Aderanti source 31
SESUG 2024 Just Stringing Along: FIND Your Way to Great User-Defined Functions Richann J. Watson,
Louise S. Hadden		 source 9
SESUG 2024 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar source 20
SESUG 2024 Next Level Reporting: ODS and Open Source Chevell T. Parker source 24
SESUG 2024 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
SESUG 2024 PROC BGLIMM: The Smooth Transition to Bayesian Analysis Danny R. Modlin source 9
SESUG 2024 Replicating SAS Reports in R: The REPORTER Package David J. Bosak source 11
SESUG 2024 SAS and Python can complement each other in statistical modeling Valentina Grouverman,
Lindzee Smith		 source 5
SESUG 2024 SAS Job Searching and Interviewing tips - Strategies in the Post-Pandemic era Jayanth Iyengar source 17
SESUG 2024 Tales From a Tech Support Guy: The Top Ten Most Impactful Reporting and Data Analytic Features for SAS Programmers Chevell T. Parker source 24
SESUG 2024 Thinking outside the box: Leveraging UNIX Tools (GNU) for Data Analysis and Validation David B. Horvath source 15
SESUG 2024 Towards understanding Neurological manifestations of Lyme disease through a machine learning approach with updated patient registry data Mira Shapiro,
Lara Kassab,
Jingyi Liu,
Deanna Needell,
Lorraine Johnson		 source 7
SESUG 2024 Unanticipated Results: Uncovering Five Unexpected Outcomes in PROC SQL Joins Kiran Venna source 15
SESUG 2024 Unlocking Insights: Harnessing Supervised Machine Learning for Advanced Data Analysis Vindhya Hegde source 23
WUSS 2024 A SAS Macro to Calculate Therapeutic Intensity Score Rachelle Juan source 9
WUSS 2024 Analyzing Goalkeeper Impact in Premier League Football Alec Troy Christiansen,
Benjamin T Houser		 source 10
WUSS 2024 Array Hashing: Simple, Fast, and Efficient Paul M. Dorfman source 12
WUSS 2024 Automation of Submission of Programs in Analysis Data Reviewer's Guide for FDA and PMDA Submissions Junying Zhang source 14
WUSS 2024 From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality Yi-Che Chen,
Debanik Chakraborty		 source 15
WUSS 2024 Identifying a Skilled Nursing Facility Associated COVID-19 Case in Surveillance Data Kathryn Doh,
Maggie G Tufts		 source 15
WUSS 2024 Interactive Data Analysis and Exploration with composR: See the Forest AND the Trees Steve Wade,
Sudhir Kedare		 source 6
WUSS 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson		 source 20
WUSS 2024 Limit of Detection Calculation Methods Comparison for PCR-based Quantitative Studies using the SAS System Jesse Albert Canchola source 13
WUSS 2024 PROC BGLIMM: The Smooth Transition to Bayesian Analysis [presentation] Danny R. Modlin source 20
WUSS 2024 PROC SORT (then and) NOW Derek P. Morgan source 11
WUSS 2024 SAS Job Searching and Interviewing tips - Strategies in the Post-Pandemic era Jayanth Iyengar source 16
WUSS 2024 Simulating Optimal Sample Sizes for Joyful Canine Jaws Using SAS Chary Akmyradov,
Lida Gharibvand		 source 11
WUSS 2024 Simulation in SAS for Estimating Power [presentation] Michael Williams source 18
WUSS 2024 Statistical Programmers Role for SPM Analysis Marckenley Mercie,
Ce (Colin) Zhou		 source 11
WUSS 2024 Ten Tips for Simulating Data with SAS [presentation] Rick Wicklin source 34
WUSS 2024 The Current State of Teaching Biostatistics in Academia [presentation] Lida Gharibvand source 14
WUSS 2024 The Essentials of SAS Dates and Times Derek P. Morgan source 23
WUSS 2024 Time Since Last Dose: Anatomy of a SQL Query Derek P. Morgan source 12
WUSS 2024 Uniform Hashing of Arbitrary Input Into Key-Exclusive Segments Paul M. Dorfman,
Donald J. Henderson		 source 17
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG CN 2024 Data-Driven Programming With CALL EXECUTE Lin Jiang source 10
PharmaSUG CN 2024 Heat Maps of Clinical Data Using SAS and R Ternence Liu source 14
PharmaSUG CN 2024 Implementation on concentration-QTc modeling Daoqing Li,
Deli Cao		 source 20
PharmaSUG CN 2024 Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC Danxia Hu,
Mandy Gao,
Jianyong Tong		 source 10
PharmaSUG CN 2024 Implementing the treatment policy estimation for continuous variable with multiple imputation Andy Sun source 17
PharmaSUG CN 2024 Introduction of Ophthalmic Examinations and the Preparation of SDTM OE Using SDTM IG 3.3 Shuang Qiu source 15
PharmaSUG CN 2024 R-based Solution for PK/ADA Simulated Data Kun Ren source 7
PharmaSUG CN 2024 Sample size calculation for comparing two groups of count data in clinical trials Lijuan Lin source 8
PharmaSUG 2024 A Deep Dive into Enhancing SAS/GRAPH and SG Procedural Output with Templates, Styles, Attributes, and Annotation Louise S. Hadden source 16
PharmaSUG 2024 A New Approach to Automating the Creation of the Subject Visits (SV) Domain Xiangchen (Bob) Cui,
Jessie Wang,
Min Chen		 source 24
PharmaSUG 2024 A Practical Approach to Automating SDTM Using a Metadata-Driven Method That Leverages CRF Specifications and SDTM Standards Xiangchen (Bob) Cui,
Min Chen,
Jessie Wang		 source 23
PharmaSUG 2024 A SAS Macro Approach: Defining Line of Therapy Using Real-World Data in Oncology Yu Feng source 7
PharmaSUG 2024 An Introduction to the SAS Transpose Procedure and its Options Timothy J. Harrington source 14
PharmaSUG 2024 Bayesian Additive Regression Trees for Counterfactual Prediction and Estimation Michael Lamm source 10
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
PharmaSUG 2024 Bayesian Models with the Power Prior Using PROC BGLIMM Yi Gong,
Fang K. Chen		 source 15
PharmaSUG 2024 Bridging AI and Clinical Research: A New Era of Data Management with ChatGPT Illia Skliar source 12
PharmaSUG 2024 Build up Your Own ChatGPT Environment with Azure OpenAI Platform Bill Zhang,
Jun Yang		 source 10
PharmaSUG 2024 CDISC Therapeutic Area User Guides and ADaM Standards Guidance Karin LaPann source 6
PharmaSUG 2024 Combine PDFs in Submission-ready Format Quick and Easy Robin Wu,
Lili Li,
Steven Huang		 source 6
PharmaSUG 2024 Design Considerations for ADaM Protocol Deviations Dataset in Vaccine Studies Rashmi Gundaralahalli Ramesh,
Jeffrey Lavenberg		 source 12
PharmaSUG 2024 Effectively Manage the Programming Team Using Microsoft Teams Jeff Xia,
Simiao Ye		 source 7
PharmaSUG 2024 Enhancing FDA Debarment List Compliance through Automated Data Analysis Using Python and SAS Yongjiang (Jerry) Xu,
Karen Xu,
Suzanne Viselli		 source 6
PharmaSUG 2024 Exploit the Window of Opportunity: Exploring the Use of Analysis Windowing Variables Richann J. Watson,
Elizabeth Dennis,
Karl Miller		 source 4
PharmaSUG 2024 Game changer! The new CDISC ADaM domain ADNCA for PK/PD data analysis Santosh Ranjan source 7
PharmaSUG 2024 Generative Artificial Intelligence in sample size estimation - challenges, pitfalls, and conclusions Igor Goldfarb,
Vikas Sharma		 source 26
PharmaSUG 2024 Handling of Humoral and Cellular Immunogenicity Data in SDTM Wei Duan source 6
PharmaSUG 2024 If its not broke, don't fix it; existing code and the programmers' dilemma Jayanth Iyengar source 16
PharmaSUG 2024 Interactive Data Analysis and Exploration with composR: See the Forest AND the Trees Steve Wade,
Sudhir Kedare,
Matthew Travell,
Chen Yang,
Jagan Mohan Achi		 source 7
PharmaSUG 2024 Just Stringing Along: FIND Your Way to Great User-Defined Functions Richann J. Watson,
Louise S. Hadden		 source 9
PharmaSUG 2024 LAST CALL to Get Tipsy with SAS: Tips for Using CALL Subroutines Lisa A. Mendez,
Richann J. Watson		 source 20
PharmaSUG 2024 Multiple Logistic Regression Analysis using Backward Selection Process on Objective Response Data with SAS Girish Kankipati,
Jai Deep Mittapalli		 source 9
PharmaSUG 2024 Next Level Reporting: ODS and Open Source Chevell T. Parker source 24
PharmaSUG 2024 Readlog Utility: Python based Log Tool and the First Step of a Comprehensive QC System Zhihao Luo source 20
PharmaSUG 2024 Replicating SAS Procedures in R with the PROCS Package David J. Bosak source 10
PharmaSUG 2024 Semi-Automated and Modularized Approach to Generate Tables for Clinical Study - Categorical Data Report William Wei,
Shunbing Zhao		 source 8
PharmaSUG 2024 Source Data Quality Issues in PopPK/PD Dataset Programming: a Systematic Approach to Handle Duplicates Ibrahim Priyana,
Ellen Winckelmans		 source 10
PharmaSUG 2024 Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] Flora Mulkey source 48
PharmaSUG 2024 The Art of Defensive SAS Programming Philip R. Holland source 28
PharmaSUG 2024 The SAS Genome - Genetic Sequencing Oliver Lu,
Katie Watson		 source 10
PharmaSUG 2024 Towards understanding Neurological manifestations of Lyme disease through a machine learning approach with patient registry data Lorraine Johnson,
Lara Kassab,
Jingyi Liu,
Deanna Needell,
Mira Shapiro		 source 7
PharmaSUG 2024 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PHUSE US 2024 A Holistic Approach to Trustworthy Artificial Intelligence (AI) Tara Chavda,
Qingying Ally Lu		 source
presentation source		 6
PHUSE US 2024 A Practical Approach to Automating SDTM Using a Metadata-Driven Method that Leverages eCRF Specifications and SDTM Programming Standards Xiangchen (Bob) Cui,
Min Chen		 source
presentation source		 12
PHUSE US 2024 Comparison of Standard Log-Rank Test with Selected Alternatives Elena Valkanova,
Bulat Fatykhov		 source
poster source		 18
PHUSE US 2024 Constructing Multilingual Visualisation Toolsets for Clinical Study Reports and Submission Jane X. Liao,
Bingjun Wang		 source
presentation source		 13
PHUSE US 2024 Data Handling with SAS Access Engine to Handle all your Data Engineering Needs [presentation] Pritesh Desai,
Samiul Haque		 source 16
PHUSE US 2024 Dynamic document creation framework for streamlining cSDRG Umayal Annamalai source
presentation source		 7
PHUSE US 2024 Electronic Clinical Outcome Assessment (eCOA) in SDTM: Challenges and Solution Shivam Kumar source
presentation source		 5
PHUSE US 2024 Enabling the Interoperable Data Ecosystem with the elluminate Clinical Data Cloud [presentation] Nathan Johnson source 15
PHUSE US 2024 EOSS_MMRM V1.0: A Shiny Application for Estimand-Oriented Sample Size and Power Simulation Using MMRM Modelling Xiaoli Kong,
Jing Dai		 source
presentation source		 8
PHUSE US 2024 Exploring the Potential Use of Generative AI in the Regulatory Review Process [presentation] Qingying Ally Lu,
Kathryn Matto		 source 19
PHUSE US 2024 From stowaway to admiral, a R-iveting tale of a hierarchical composite endpoint's journey from idea to dataset Nicole Major,
Otto Magnusson		 source
presentation source		 16
PHUSE US 2024 Front-Loading Statistical Programming Using Automated Synthetic Data Faezeh Moshfeghifar,
Hemanth Padmakar		 source
presentation source		 5
PHUSE US 2024 Harnessing AI for Health Equity and Inclusivity in Risk-Based Monitoring Finn Janson source
presentation source		 12
PHUSE US 2024 InnoRand - Innovative Randomisation Yinfei Wu,
Ivo Marek		 source
presentation source		 4
PHUSE US 2024 Mapping Real-World Data (RWD) to SDTM Samples for External Control Arm or Registry Studies Joe Xi,
Kevin Yang		 source
presentation source		 3
PHUSE US 2024 Population Pharmacokinetic Analysis Data (ADPPK) Programming in {admiral} and the pharmaverse Jeffrey Dickinson source
poster source		 9
PHUSE US 2024 Recruiting the Best Talent and Developing them within the Organisation Naveen Kommuru,
Madhusudhan Reddy Papasani		 source
presentation source		 11
PHUSE US 2024 Revolutionising Informed Consent Form Analysis with Generative AI: Enhancing Efficiency in Drug Development and Data Re-Use Hangyu (Cedric) Liu source
presentation source		 11
PHUSE US 2024 Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data Kostiantyn Drach,
Sergey Glushakov		 source
presentation source		 12
PHUSE US 2024 SAS PROC MI: Your Impeccable Tool for Enhanced Data Analysis Through the Lens of Multiple Imputation Anush Kurghinyan,
Shahrzad Talebian		 source
presentation source		 7
PHUSE US 2024 Unveiling the Potential of ADNCA via the CDISC ADaM IG: Revolutionising Pharmacokinetic Non-Compartmental Analysis Input Data Standardisation Saumilkumar Tripathi source
presentation source		 10
PHUSE US 2024 Validation Unveiled: Striking the Balance for Data Integrity and Compliance in R, Python, and SAS Sy J. Truong source
presentation source		 10
PHUSE EU 2023 A Beginner's Guide to Overcome the Attrition Bias in Clinical Research: The Method of Inverse Probability of Attrition Weighting (IPAW) Parichay Srivastava source
presentation source		 9
PHUSE EU 2023 Analysis and Reporting of Immunogenicity Anti-drug Antibody Data Nicola Perry source
poster source		 6
PHUSE EU 2023 Creating applications with mash-ups: user written functions, stored sql queries, and interfaces Stephen Prust source
presentation source		 7
PHUSE EU 2023 Experiencing the FDA CBER Merve Akram,
Angelo Tinazzi		 source
presentation source		 9
PHUSE EU 2023 Increasing Trend of Biomarker Analysis in Clinical Trials Anjali Ranga source
presentation source		 11
PHUSE EU 2023 Inference on Weighted Subjects: Comparing Weighted Individual Patient Data with Results from the Literature [poster] Andrea Parodi,
Dimitri Petratchenko		 source 1
PHUSE EU 2023 Optimizing Clinical Trial Design with Real-Time Sample Size Calculation and Enrollment Projection: A Shiny Dashboard Solution Dony Sabu source
presentation source		 5
PHUSE EU 2023 Real-World Outcomes and Biomarker Testing in Cancer Patients: Exploration of a Novel Genetic Database from Routine Clinical Practice in England Alexandrina Lambova,
Fiona Ingleby		 source
presentation source		 5
PHUSE EU 2023 Size matters - sample size calculation with SAS and R Fenja Seither source
presentation source		 4
PHUSE EU 2023 Visualising Your Protocol Objectives Varun Tripuraneni source
presentation source		 6
WUSS 2023 10 Quick Tips for Getting Tipsy with SAS Lisa A. Mendez,
Richann J. Watson		 source 16
WUSS 2023 A Deep Dive into Enhancing SAS/GRAPH and SG Procedural Output with Templates, Styles, Attributes, and Annotation Louise S. Hadden source 17
WUSS 2023 An Overview of the SASSY System David J. Bosak source 16
WUSS 2023 Dashboard Development: From Prepping to Visualizing Data Humberto Cisneros,
Richard Rivera		 source 19
WUSS 2023 Demystifying Intervals Derek P. Morgan source 17
WUSS 2023 Going Command(o): Power(Shell)ing Through Your Workload Richann J. Watson,
Louise S. Hadden		 source 45
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
WUSS 2023 Let's Get FREQy with our Statistics: Data-Driven Approach to Determining Appropriate Test Statistic Richann J. Watson,
Lynn Mullins		 source 14
WUSS 2023 Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics Colleen E. McGahan source 15
WUSS 2023 Survey Data Analysis in SAS Denis Nyongesa,
Marianne Jurasic,
Gregg Gilbert,
Tamara Lischka		 source 11
WUSS 2023 TARDIS: Tracking Alterations and Record Differences in SAS, a Macro to Add Color to Your Dataset Comparisons Inka Leprince source 21
WUSS 2023 The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure Carter Sevick,
Camille Moore,
Samantha MaWhinney		 source 14
WUSS 2023 The Essentials of SAS Dates and Times Derek P. Morgan source 24
WUSS 2023 The Great Escape(char) Louise S. Hadden source 21
WUSS 2023 Univariate Outlier Detection Using SAS Fan Yang source 12
WUSS 2023 Waterfall vis a vis Spider plots: Complex oncology efficacy endpoint made simpler. Yoganand Budumuru source 21
WUSS 2023 What's next after model comparison? Model selection and model averaging in SAS Chong Ho Yu,
Charlene Yang		 source 14
SESUG 2023 %modelselect: A macro for automatically selecting statistical models based on fit statistics William B. Smith source 7
SESUG 2023 10 Quick Tips for Getting Tipsy with SAS Richann J. Watson,
Lisa A. Mendez		 source 16
SESUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
SESUG 2023 Binning Predictors for Logistic Regression Bruce S. Lund source 25
SESUG 2023 BLINDED STUDIES AND CHALLENGES Jalender Reddy Musku,
Srinivas Tiyyagura		 source 5
SESUG 2023 Designing Against Bias: Identifying and Mitigating Bias in Machine Learning and AI David J. Corliss source 9
SESUG 2023 Generate and Customize eDISH Plot to Identify Hy's Law Cases in Simple Steps Jeetender Chauhan,
Sarad Nepal,
Madhusudhan Ginnaram		 source 10
SESUG 2023 Going Command(o): Power(Shell)ing Through Your Workload Richann J. Watson,
Louise S. Hadden		 source 45
SESUG 2023 Hashes From The Ashes Paul M. Dorfman,
Richard A. DeVenezia		 source 14
SESUG 2023 How to use SAS POWER procedure to plan a study Xiaofeng (Steven) Liu source 4
SESUG 2023 Introduction to Principal Components and Factor Analysis Jason Brinkley source 16
SESUG 2023 Is Rushing in the Modern NFL a Viable Option? Alex Mason source 8
SESUG 2023 Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples Yaa Awuah,
Mostafa Zahed		 source 19
SESUG 2023 Methods and Tools for Publishing at SESUG and Beyond-Advanced Techniques Jonathan W. Duggins,
James E. Blum		 source 17
SESUG 2023 Methods and Tools for Publishing at SESUG and Beyond-Basic Techniques James E. Blum,
Jonathan W. Duggins		 source 22
SESUG 2023 Sampling by Reversing The Landmarking Process Cheng Lee source 10
SESUG 2023 SAS Macro for Randomization-Based Methods for Covariance and Stratified Adjustment of Win Ratios and Win Odds for Ordinal Outcomes Elaine Kowalewski,
Ann Marie K. Weideman,
Gary G. Koch		 source 11
SESUG 2023 Speeding up Your SAS Code Using Parallel Processing David L. Ward source 14
SESUG 2023 The Best of Both Worlds: Analytics with SAS Viya and Python Peter Styliadis source 63
SESUG 2023 Two illustrations of the Quantity Theory of Money: A Restatement Lawrence Ogbeifun source 81
SESUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
SESUG 2023 Unsupervised Dimension Reduction Techniques for Lung Cancer Diagnosis Based on Radiomics Janet Kireta,
Mostafa Zahed		 source 21
SESUG 2023 Using SAS In Generating Multi-Jurisdictional Reports for U.S. Retail Industries' Employment Trends Abdullah Khan source 21
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
PharmaSUG 2023 'TUFF' LOVE: SDTM Pain Points Explained! Kristin Kelly,
Michael Beers		 source 12
PharmaSUG 2023 10 Quick Tips for Getting Tipsy with SAS Lisa A. Mendez,
Richann J. Watson		 source 16
PharmaSUG 2023 A Macro to Mark Invalid PK Data Observations for Exclusion Timothy J. Harrington source 10
PharmaSUG 2023 A Macro Utility for CDISC Datasets Cross Checking Chao Su,
Jaime Yan,
Changhong Shi		 source 9
PharmaSUG 2023 A SAS Macro to Perform Consistency Check in CSR Footnote References Jeff Xia,
Chandana Sudini		 source 5
PharmaSUG 2023 Application of Tipping Point Analysis in Clinical Trials using the Multiple Imputation Procedure in SAS Yunxia Sui,
Xianwei Bu,
Yuanyuan Duan,
Yihan Li,
Xin Wang		 source 12
PharmaSUG 2023 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 20
PharmaSUG 2023 CMS VRDC - A simplified overview. What to expect in terms of data, system, code. Zeke Torres source 22
PharmaSUG 2023 Fitting Logitoid-Normal distributions with MLE estimate by SAS SEVERITY and FCMP procedures Lili Huang,
Helen Dong,
Yuanyuan Liu		 source 8
PharmaSUG 2023 From Sea to shining sea - End to End discussion on PR and LB data Abraham Yeh source 7
PharmaSUG 2023 Gear up the Metadata - Automating Patient Profile Generation, a Metadata Driven Programming Approach Tanmay Khole,
Aman Sharma,
Lili Li,
Durga Prasad Chinthapalli		 source 20
PharmaSUG 2023 Going Command(o): Power(Shell)ing Through Your Workload Richann J. Watson,
Louise S. Hadden		 source 45
PharmaSUG 2023 Guidelines for the Statistical Analysis in German Dossier Submissions Meiling Gao,
Xi Qian,
Hui Mao		 source 8
PharmaSUG 2023 Handling Anti-Drug Antibody (ADA) Data for Efficient Analysis Sabarinath Sundaram,
Johnny Maruthavanan		 source 7
PharmaSUG 2023 Handling CRS/NT Data in CAR-T Studies and Submission Joe Xi,
Yuanyuan Liu,
Lorraine Fang		 source 7
PharmaSUG 2023 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
PharmaSUG 2023 Have Meaningful Relationships: An Example of Implementing SDTM Special Purpose Data Set RELREC with a Many-to-Many Relationship Kaleigh Ragan,
Richann J. Watson		 source 11
PharmaSUG 2023 How to generate questionnaire data compliance report Phaneendhar Gondesi source 12
PharmaSUG 2023 Introduction of Developing Resistance Dataset Jenny H. Zhang,
Shunbing Zhao		 source 6
PharmaSUG 2023 Low Code Approach to Clinical Application Development using SAS Studio Custom Step David Olaleye source 15
PharmaSUG 2023 Meta-Analysis in R Lin Gu source 8
PharmaSUG 2023 Programmer-s Perspective: Step into Awareness Regarding Clinical Trial Deliverables and Their Impact Lyma Faroz,
Jinit Mistry		 source 10
PharmaSUG 2023 Put on the SAS Sorting Hat and Discover Which Sort is Best for You! Charu Shankar,
Louise S. Hadden		 source 8
PharmaSUG 2023 Real World Evidence in Distributed Data Networks: Lessons from a Post-Marketing Safety Study Matthew T. Slaughter,
Denis Nyongesa,
John Dickerson,
Jennifer Kuntz		 source 7
PharmaSUG 2023 Repetitive Analyses in SAS - Use of Macros Versus Data Inflation and BY Group Processing Bradford J. Danner,
Indrani Sarkar		 source 6
PharmaSUG 2023 SAS Macro Design Considerations to Generate Subgroup Table and Forest Plot in Oncology Studies Yizhuo Zhong,
Christine S Teng		 source 10
PharmaSUG 2023 Shifting the drug development paradigm with Adaptive Design and master protocol Aman Bahl source 16
PharmaSUG 2023 Smart Use of SAS Output System and SAS Macro for Statistic Test Selection Mengxi Wang source 10
PharmaSUG 2023 Standardization of Reactogenicity Data into Findings Charumathy Sreeraman source 9
PharmaSUG 2023 Statistical Considerations and Methods for Handling Missing Outcome Data in Clinical Trials During the Era of COVID-19 Xi Qian,
Chengfei Lu		 source 11
PharmaSUG 2023 Strategies for Code Validation at Statistical Center for HIV/AIDS Research and Prevention (SCHARP) Marie Vendettuoli,
Xuehan (Emily) Zhang,
Rodger Zou		 source 13
PharmaSUG 2023 The implementation of Scrum in Pharmaceutical Data Analytics and Statistical Programming Jagan Mohan Achi,
Eliana D'Angelo		 source 7
PharmaSUG 2023 Tips to Read In and Output Excel Spreadsheets in SAS Chao Su,
Jaime Yan,
Changhong Shi		 source 5
PharmaSUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2023 Using R to Create Population Pharmacokinetic Dataset Yangwei Yan,
Prema Sukumar,
Neelima Thanneer		 source 10
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
PharmaSUG 2023 Working with Biomedical Concepts and SDTM Dataset Specializations for Define-XML using SAS Open CST Lex Jansen source 23
PHUSE US 2023 ADaM Planning Tool: A Web-Based Application to Collect, Create and Maintain ADaM Metadata in Clinical Trials [presentation] Lucky Singh,
Asavari Mehta		 source
video		 32
PHUSE US 2023 Automation of ADaM Dataset & TFL Visualization Through an R Package - GenAdam2 Mahesh Divakaran source
presentation source		 5
PHUSE US 2023 Challenges of Handling Vaccines Serology Data for Analysis and Reporting [presentation] Saritha Dhanasri,
Helen Yang		 source
video		 17
PHUSE US 2023 Common Sample Size Calculations for Phase I/IIa Clinical Trials [presentation] Aayush Bhoraskar source
video		 13
PHUSE US 2023 Enabling Comprehensive Interactive Data Analysis and Exploration in R with an Open-Sourced, Scalable Shiny Framework [presentation] Dony Unardi,
Chendi Liao		 source
video		 17
PHUSE US 2023 Handling Multiple Adaptations in One Clinical Trial Parvee Kumar,
Shrutimita Pokhariyal		 source
presentation source		 6
PHUSE US 2023 How CI/CD Enhances the Development of R packages in the Pharmaverse Benjamin Straub,
Dinakar Kulkarni		 source
presentation source		 11
PHUSE US 2023 Interactive Data Visualisation: A Tool for Common Clinical Study Figures and SAP Figure Shells Ji Qi,
Qisen Luan		 source
presentation source		 10
PHUSE US 2023 Leveraging Big Data in Real-World Evidence Generation: Data Engineering Challenges and Possibilities Samiul Haque,
S. Robert Collins		 source
presentation source		 6
PHUSE US 2023 Parametric Event-prediction for Time-to-event Data in Clinical Trials [presentation] Jingyuan Chen,
Weijie Zhang		 source
video		 22
PHUSE US 2023 PYTHON GUI executable tool to generate TOC using RTF files in various formats (RTF, DOCX, PDF with bookmark) Sathish Kumar source
presentation source		 6
PHUSE US 2023 RBM and Failure Prediction Using Python for Health Monitoring Devices Vidya Muthukumar source
presentation source		 7
PHUSE US 2023 SAS Macro for Converting Variable Attributes from XLSX Specifications to SDTM/ADAM SAS data sets Jinquan Wu source
presentation source		 8
PHUSE US 2023 Say No to Stale Data!! Implementation of Automated GxP Data Pipelines Using KNIME [presentation] Shiva Katepalli,
Jeffrey Xiong		 source
video		 30
PHUSE US 2023 Use R to Track and Highlight the Changes Between 2 Versions of Data to Have More Efficient Data Review Disheng Huang,
Kevin Li		 source
presentation source		 5
PHUSE EU 2022 Adaptive Design - Better Bend Than Break [presentation] Albin John,
Athira Sudhakar		 source 15
PHUSE EU 2022 AI_PREMie: Saving Lives of Mothers and Babies Using AI [presentation] Patricia Maguire,
John Curran		 source 26
PHUSE EU 2022 Data From the Clouds ... and Back Again John McDade source
presentation source		 12
PHUSE EU 2022 Finding Anomalies and Outliers in Clinical Trial Time Series Data Pekka Tiikkainen source
presentation source		 6
PHUSE EU 2022 Inference from weighted subjects Andrea Parodi source
poster source		 4
PHUSE EU 2022 Jumping Over the Compliance Barrier. How to Drive Innovation and Thrive as a Leader in a Regulated Industry [presentation] Erwin De beuckelaer source
video		 32
PHUSE EU 2022 My Journey from SAS to R [presentation] Lucy Watson source 15
PHUSE EU 2022 Performance Traps in Multiple Imputation Analysis Using Mixed Model Repeated Measures [presentation] Piotr Karasiewicz source
video		 17
PHUSE EU 2022 Title:Pixel Plots: Identify Missing Data, See High-level Patterns and Break Axis Constraints Paul Grimsey source
presentation source		 16
PHUSE EU 2022 Trimmed Mean Analysis Is Not Rocket Science [presentation] Kateryna Fedoryshyna source
video		 18
SESUG 2022 A SAS Macro for Implementing a Nonparametric Control Charting Scheme for Individual Observations Austin R. Brown source 11
SESUG 2022 Acing Technical Questions in SAS Programmer Interviewers Lauren Rackley source 4
SESUG 2022 Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM David J. Corliss source 12
SESUG 2022 Don't be so One-Dimensional: How to Engineer Multi-Dimensional, High Cardinality Categorical Inputs for Machine Learning Aleksandar Nikolic source 25
SESUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
SESUG 2022 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
SESUG 2022 Invoking Survey Weights to Calculate Bayes' Factor with PROC MCMC to Generate More Generalizable Inferences Tyler Hicks,
Graham G. Rifenbark		 9
SESUG 2022 Learning Fun(damental) Character String Cleaning and Parsing Methods in SAS! William Zachary Smith source 7
SESUG 2022 REDCap: Your SAS Friend For Electronic Health Record Manual Abstraction Brooke Ellen Delgoffe,
Steffani Roush		 source 27
SESUG 2022 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
SESUG 2022 To Lend, or Not to Lend, That Is the Question! Evaluating Loan Application with Machine Learning Rafae Abdullah,
Sucharitha Vallabhaneni,
Jaideep Muley		 source 17
SESUG 2022 Using SAS Macro and ODS Output to efficiently examine the descriptive and analytic statistics in epidemiology studies Yue Pan source 7
SESUG 2022 Using SAS to Geocode Injury-Related Deaths in North Carolina Bruce Nawrocki,
Scott Proescholdbell,
Shana Geary,
Mike Dolan Fliss		 source 10
SESUG 2022 What's Your Favorite Color? Controlling the Appearance of a Graph Richann J. Watson source 33
SAS Explore 2022 Managing Data Processing for CDC Surveillance Projects Using Metadata [video] Louise S. Hadden source
youtube
WUSS 2022 "Bored"-Room Buster Bingo - Create Bingo Cards Using SAS ODS Graphics Richann J. Watson,
Louise S. Hadden		 source 32
WUSS 2022 An Introduction to SAS Arrays Lisa A. Mendez source 12
WUSS 2022 Best Practices for Efficiency and Code Optimization in SAS programming Jayanth Iyengar source 21
WUSS 2022 Customizable SAS Graphs for Bias Analysis Natasha Oza,
Jesse Albert Canchola		 source 26
WUSS 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
WUSS 2022 Have a Date with ISO? Using PROC FCMP to Convert Dates to ISO 8601 Richann J. Watson source 15
WUSS 2022 If its not broke, don't fix it; existing code and the programmers' dilemma Jayanth Iyengar source 16
WUSS 2022 PROC SORT (then and) NOW Derek P. Morgan source 11
WUSS 2022 Putting the Meta into the Data: Managing Data Processing for a Large Scale CDC Surveillance Project with SAS Louise S. Hadden source 18
WUSS 2022 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
WUSS 2022 The Best Kept Secret of Custom Built Tasks Built in SAS Studio! Jennifer Rosson source 29
WUSS 2022 The Essentials of SAS Dates and Times Derek P. Morgan source 25
WUSS 2022 Time Since Last Dose: Anatomy of a SQL Query Derek P. Morgan source 12
WUSS 2022 TrackCHG: A SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Safety Listings Inka Leprince,
Elizabeth Li,
Carl Chesbrough		 source 21
WUSS 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
WUSS 2022 Unlocking the Web With Python and SAS: Shortcuts to accessing data using Python and SAS Joe Matise source 7
WUSS 2022 Using SAS Gplot Overlay to Effectively Visualize and Compare COVID-19-Sepsis versus Sepsis Post-hospital Discharge Locations Over Time Xiao Qing Wanng,
Sarah Seelye,
Brenda McGrath,
Hallie Prescott,
Theodore Iwashyna,
Elizabeth Viglianti		 source 7
WUSS 2022 What's Your Favorite Color? Controlling the Appearance of a Graph Richann J. Watson source 33
WUSS 2022 Your Query's No Good Here: PROC SQL Code That Doesn't Work Outside of SAS Jedediah J. Teres source 11
PharmaSUG 2022 A SAS macro wrapper for an efficient Deming regression algorithm via PROC IML: The Wicklin method Natasha Oza,
Ben Wang,
Jesse Albert Canchola		 source 13
PharmaSUG 2022 An Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon's Two-Stage Design Accounting for Actual and Planned Sample Sizes Mikhail Melikov,
Alex Karanevich		 source 8
PharmaSUG 2022 Analysis of sample size calculations in clinical trial - errors, pitfalls and conclusions Igor Goldfarb,
Ritu Karwal,
Xiaohua Shu		 source 14
PharmaSUG 2022 Automatic CRF Annotations Using Python Lijun Chen,
Jin Shi,
Tong Zhao		 source 12
PharmaSUG 2022 Evaluating and Correcting Nominal and Actual Relative Time Measurements in Clinical Trials PK data Timothy J. Harrington source 17
PharmaSUG 2022 Explanations in the Study Data Reviewer's Guide: How's It Going? Kristin Kelly source 9
PharmaSUG 2022 External R Package Qualification Process in Regulated Environment Jane X. Liao,
Fansen Kong,
Yilong Zhang		 source 10
PharmaSUG 2022 Following Your Footsteps: Maintaining Traceability in ADaM Datasets Nancy Brucken,
Karl Miller		 source 58
PharmaSUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
PharmaSUG 2022 Getting odds ratio at Preferred Term (PT) level for safety analysis in R Kamleshkumar Patel,
Jigar Patel		 source 4
PharmaSUG 2022 ISO 8601 and SAS: A Practical Approach Derek P. Morgan source 13
PharmaSUG 2022 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 source 28
PharmaSUG 2022 Measuring Reproducibility and Repeatability of an AI-based Quantitative Clinical Decision Support Tool Having a Medical Decision Point Douglas Milikien source 9
PharmaSUG 2022 Merging Pharmacokinetic (PK) Sample Collection and Dosing Information for PK Analysis based on Study Design and lessons learned Durga Kalyani Paturi source 11
PharmaSUG 2022 Metadata Driven Approach for Creation of Clinical Trial Figures Jeremy Gratt,
Qiuhong Jia,
Girish Kankipati		 source 13
PharmaSUG 2022 Orchestrating Clinical Sequels with a Strategic Wand - Challenges of introducing Rolling CSRs in a Master Protocol Neharika Sharma source 9
PharmaSUG 2022 Pharmacokinetics Concentration Data Deciphered - Presenting an Oncology Case Study Nikita Sathish source 9
PharmaSUG 2022 SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Listings Inka Leprince,
Elizabeth Li,
Carl Chesbrough		 source 19
PharmaSUG 2022 Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software Matthew T. Slaughter,
Isaiah Lankham		 source 22
PharmaSUG 2022 Two Methods to Collapse Two Treatment Groups into One Group Kenneth S. Liu,
Ziqiang Chen		 source 6
PharmaSUG 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2022 Using the SAS System with the National Center for Biotechnology Information resources and Immune Epitope Database to explore the realm of potential SARS-CoV-2 variants. Kevin R. Viel source 25
PharmaSUG 2022 Win Ratio Simulation For Power Calculation Made Easy Lili Li,
Roger Chang,
Benjamin Fine,
Yu-Chen Su		 source 13
PHUSE US 2022 'Verify Outputs' Product Demonstration: Validation of Statistical Outputs Using Automation [presentation] Ilan Carmeli,
Yoran Bar		 source
video		 17
PHUSE US 2022 (eDISH) Evaluation of Drug-induced Serious Hepatotoxicity Using SAS Graph [presentation] Jaimin Patel source 13
PHUSE US 2022 A Practical Exploration of SEND for CBER Submissions Jack Baker source
presentation source		 11
PHUSE US 2022 Combining Multiple R Outputs into One HTML File with Bookmarks Baoqing Li,
Eric Zhang		 source
presentation source		 5
PHUSE US 2022 Design ADSL and ADBASE in Cell Therapy [presentation] Ryan Krause,
Xiang Wang		 source
video		 24
PHUSE US 2022 DPS Helper: A Web Application to Create the Data Presentation Specifications Word Document in Clinical Trials [presentation] Asavari Mehta,
Xiaoguang Yan		 source
video		 37
PHUSE US 2022 High-quality COVID Vaccine Submission at Lightning Speed [presentation] Helen Yang,
Kiran Challagali		 source 9
PHUSE US 2022 How Disclosure Teams Are Collaborating and Embracing the Changes Imposed by Global Transparency Regulations [presentation] Elliot Zimmerman source 12
PHUSE US 2022 Incorporating Immunogenicity Data from Various Analyzing Labs [presentation] Elisabeth van Son-Palmen,
Gunasekaran Subramaniam		 source 19
PHUSE US 2022 Introducing Reporting Packages in R for TFLs [presentation] Pavan Reddy,
Thomas Kalfas		 source
video		 12
PHUSE US 2022 Jumping on the Real-world Data (RWD)/Real-world Evidence (RWE) Bandwagon? A Guide for Statistical Programmers to Understand Payer Claims Data [presentation] Rachana Agarwal source
video		 13
PHUSE US 2022 Table Mining: The Barrier for Automation [presentation] Ilan Carmeli,
Mor Ram-On		 source 16
PHUSE US 2022 The Emerging Use of Automation to Address the Challenge of Cross-Table Consistency Checking of Output Used in the Reporting of Clinical Trial Data [presentation] Hugh Donovan,
Naama Feilchenfeld		 source
video		 16
PHUSE US 2022 Vaccine Trials: The Basics You Need to Know [presentation] Prashanthi Selvakumar source 11
PHUSE EU 2021 Clinical Design - Visualisation and Analysis Using the Interactive Application by R Shiny Athira Sudhakar,
Mahesh Divakaran		 source
video		 7
PHUSE EU 2021 Deep Active Learning for Clinical Entity Recognition [presentation] Nadia Abraham source
video		 33
PHUSE EU 2021 Easy Parallel Processing in SAS/BASE: A Case Study [presentation] Anna Socha,
Paul Wicks		 source
video		 17
PHUSE EU 2021 Incorporating Novel Real-world Evidence Across the Drug Development Continuum: Leveraging the Value of Digital Social Media [presentation] Nardin Farid,
Stephen Doogan		 source
video		 24
PHUSE EU 2021 Let's ROC: An Empirical Approach to Confidence Intervals of Receiver-Operator Characteristic Curves [presentation] Alexander Ullmann,
Sanna Ström		 source
video		 41
PHUSE EU 2021 Preparing PK/PD ADaM Datasets and eCRT Data Package for FDA Submission Junying Zhang source
video
presentation source		 11
PHUSE EU 2021 R and SAS Working Together - DNR's Experience Moving to LSAF 5.3 [presentation] Paul Vervuren source
video		 17
PHUSE EU 2021 The ABC of Managing a Standards Macro Library Amit Bhaniani,
Carl Herremans		 source
video
presentation source		 9
PHUSE EU 2021 Transition Probability for Analysis of COVID Test Positivity Ra [presentation] Hrishikesh K S,
Limna Salim		 source
video		 10
PHUSE EU 2021 Use Python to Combine LST Files into a PDF file with Bookmarks Hengwei Liu source
video
presentation source		 10
SESUG 2021 "Bored"-Room Buster Bingo - Create Bingo Cards Using SAS ODS Graphics Richann J. Watson,
Louise S. Hadden		 source 12
SESUG 2021 A Macro to Utilize a Nonparametric Multiple Stream Process Quality Control Chart in SAS Austin R. Brown source 10
SESUG 2021 A SAS Macro Program to Calculate the Fragility Index Tamar C. Roomian source 9
SESUG 2021 A SAS Toolbox for File and Folder Manipulation: Copy, Rename, Delete, or Zip via Functions or X Commands Aaron Brown source 16
SESUG 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source 21
SESUG 2021 Badge in Batch with Honeybadger: Generating Conference Badges with Quick Response (QR) Codes Containing Virtual Contact Cards (vCards) for Automatic Smart Phone Contact List Upload Troy Martin Hughes source 14
SESUG 2021 Converting Remeasurement Data into Percentile Ranks Based on Baseline Data Using PROC SQL: Patient Experience Measures for CMS Value-Based Purchasing Program Jenhao Jacob Cheng source 7
SESUG 2021 Dressing Up your SAS/GRAPH and SG Procedural Output with Templates, Attributes and Annotation Louise S. Hadden source 16
SESUG 2021 Management of Metadata and Documentation When Your Data Base Structure is Fluid: What to do if Your Data Dictionary has a Varying Number of Variables Louise S. Hadden source 12
SESUG 2021 Missing Value Imputation Ross Bettinger source 34
SESUG 2021 Moving beyond Frequency and Percentage to Chi Square, t-Tests, and Correlation Analysis Kelly D. Smith source 12
SESUG 2021 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
SESUG 2021 Screening, Binning, Transforming Predictors for a Generalized Logit Model Bruce S. Lund source 17
SESUG 2021 Some Linux Shell Scripts for SAS Programmers Hengwei Liu source 9
SESUG 2021 The reporter package: A Powerful and Easy-to-use Reporting Package for R David J. Bosak source 9
SESUG 2021 Use SAS Enterprise Miner Workstation 15.1 to Do Predictive Analysis for Mobile Strategy Games Industry Chun Du source 11
SESUG 2021 Using PROC SURVEYSELECT to Create Data Files with All Pairwise Combinations of Data Jason Brinkley source 6
PHUSE US 2021 A Bayesian Approach to Detection of Treatment-related Effects in Toxicology Studies by Borrowing Information from Historical Control Animals [presentation] Kevin Snyder,
Md Yousuf Ali		 source
video		 15
PHUSE US 2021 Central Statistical False Positives - Predicting True Signals with Machine Learning [presentation] Dorothea Ugi source
video		 24
PHUSE US 2021 FDA Conformance Analysis and Upcoming Implementation of Technical Rejection Criteria for Study Data [presentation] Ethan Chen,
Heather Crandall		 source 36
PHUSE US 2021 Metadata-based Auto-programming by Python and SAS [presentation] Harry Chen source
video		 10
PHUSE US 2021 Neurological Examination and Procedure Results in SDTM: Challenges and Solutions [presentation] Shivam Kumar source
video		 14
PHUSE US 2021 Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions Han Fu,
Shahrul Mt-Isa		 source
video
presentation source		 10
PHUSE US 2021 Planning and Execution of Real-world Data Evidence Analysis Nicole Thorne,
Ramesh Sundaram		 source
video
presentation source		 6
PHUSE US 2021 Protocols on FHIR - Exchanging Study Designs with EHR Systems [presentation] Andy Richardson,
Geoffrey Low		 source
video		 24
PHUSE US 2021 Python for Visualization in Solid Tumor Studies Hengwei Liu source
video
presentation source		 10
PHUSE US 2021 Splitting Character Variables into Meaningful Text Savithri Jajam,
Vamshi Matta		 source
video
presentation source		 6
PHUSE US 2021 Template of Analysis Reviewer's Guide in Oncology [presentation] Hong Qi,
Mary N. Varughese		 source
video		 19
PHUSE US 2021 Visualization of Sparse PK Concentration Sampling Data, Step by Step (Improvement by Improvement) Ilya Krivelevich source
video
presentation source		 12
PHUSE US 2021 Waffle Chart in SAS Abhinav Srivastva source
video
presentation source		 4
PharmaSUG 2021 "Bored"-Room Buster Bingo - Create Bingo Cards Using SAS ODS Graphics Richann J. Watson,
Louise S. Hadden		 source 12
PharmaSUG 2021 Automated CONSORT Flow Diagram Generation by SAS Programming Ryan Yu source 10
PharmaSUG 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source 21
PharmaSUG 2021 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
PharmaSUG 2021 BIMO SAS Macros and Programming Tools Mi Young Kwon,
Rohit Kamath		 source 12
PharmaSUG 2021 Bookdown and Blogdown: Using R packages to document and communicate new processes to Clinical Programming Benjamin Straub source 11
PharmaSUG 2021 Build a model: Introducing a methodology to develop multiple regression models using R in oncology trial analyses Girish Kankipati,
Jai Deep Mittapalli		 source 20
PharmaSUG 2021 Common Dating in R: With an example of partial date imputation Teckla Akinyi source 14
PharmaSUG 2021 Customize and Beautify Your Kaplan-Meier Curves in Simple Steps John Henderson,
Lili Li		 source 7
PharmaSUG 2021 Data Visualization in Real World Data (RWD) and Health Economics Outcomes Research (HEOR) using (Statistical Analysis Software) SAS Swapna Ambati source 45
PharmaSUG 2021 Dressing Up your SAS/GRAPH and SG Procedural Output with Templates, Attributes and Annotation Louise S. Hadden source 16
PharmaSUG 2021 Evaluating anthropometric growth endpoints with Z-Scores and Percentiles Snehal Sanas,
Pradeep Umapathi		 source 11
PharmaSUG 2021 FDA Study Data Technical Rejection Update [presentation] Ethan Chen source 36
PharmaSUG 2021 GCIG Criteria, Programming Makes It Easy Liming Xie,
Wei Wei		 source 9
PharmaSUG 2021 Generating FDA-ready Submission Datasets directly from EHRs Jozef Aerts source 9
PharmaSUG 2021 Graphical Representation of Clinical Data using Heat Map Graph Pavani Potuganti,
Sree Nalluri		 source 10
PharmaSUG 2021 How simulation will impact the future of Healthcare & Life Sciences. Pritesh Desai,
Allison Sealy,
Shawn Tedman,
Lois Wright,
Bahar Biller		 source 14
PharmaSUG 2021 How to Translate RTF Documents Jundong Ma,
Zhiping Yan		 source 9
PharmaSUG 2021 Imputation for Missing Dosing Time in NONMEM PopPK Datasets Shuqi Zhao source 8
PharmaSUG 2021 Integrating SAS and Microsoft Excel: Exploring the Many Options Available to You Vincent DelGobbo source 23
PharmaSUG 2021 Making Customized RTF Output with R Package r2rtf Huei-Ling Chen,
Heng Zhou,
Madhusudhan Ginnaram,
Yilong Zhang		 source 12
PharmaSUG 2021 Management of Metadata and Documentation When Your Data Base Structure is Fluid: What to Do if Your Data Dictionary has Varying Number of Variables Louise S. Hadden source 7
PharmaSUG 2021 Mitigating Multicollinearity: Using Regulation Techniques to Minimize the Effect of Collinearity Deanna Naomi Schreiber-Gregory source 23
PharmaSUG 2021 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
PharmaSUG 2021 No Black Boxes: An Utterly Transparent Batch Randomization System in R Dennis Sweitzer source 12
PharmaSUG 2021 Random Forest Machine Learning Application using R Shiny for Project Timeline Forecasting Hrideep Antony,
Aman Bahl		 source 8
PharmaSUG 2021 Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers Yun (Julie) Zhuo source 10
PharmaSUG 2021 The SASSY System: Making R Easier for SAS Programmers David J. Bosak source 14
PharmaSUG 2021 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2021 Visualization of Sparse PK Concentration Sampling Data, Step by Step (Improvement by Improvement) Ilya Krivelevich,
Simon Lin		 source 14
PharmaSUG 2021 Where-s Waldo? An SDTM Crawler Derek P. Morgan source 9
SGF 2021 A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples Isaiah Lankham,
Matthew T. Slaughter		 source 22
SGF 2021 A SAS Macro to Perform Bootstrapping for Internal Validation of Time-Dependent Area Under the Curve Jialin Han,
Jiali Ling,
Maria E. Montez-Rath,
Margaret R. Stedman		 source 9
SGF 2021 Are You Qualified? Examining Existing SOC Occupational Groups and Assessing Candidate Suitability Frank Yeboah,
Maruthi Nanduri,
Nikhil Gunti,
Monish Vallamkonda		 source 7
SGF 2021 Automated Vehicle Odometer Reading Using SAS for AI and Computer Vision Tyler Rosacker,
Kedar Prabhudesai,
Hardi Desai,
Neela Vengateshwaran,
Varunraj Valsaraj		 source
pdf		 17
SGF 2021 Back to Basics: Running an Analysis from Data to Refinement in SAS Deanna Naomi Schreiber-Gregory source
presentation		 20
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
SGF 2021 Do I Have Enough? - A Macro for Sample Size Determination in Simple and Multiple Logistic Regression Carl P. Wilson source
sas		 10
SGF 2021 Haste Makes Waste: Don't Ruin Your Reputation With Hasty Regression Steven C. Myers source
presentation
sas		 39
SGF 2021 How Sick Is My Cohort Of Patients? A General Approach to Identify Chronic Conditions Patricia Ferido,
Laura Gascue,
Patricia St. Clair		 source 12
SGF 2021 Large-scale demand forecasting for e-commerce retailer using SAS Forecast Studio: A Case Study Ajay Kumar Mishra,
Mohak Narkhede,
Padmanabha Chandu Saladi		 source 9
SGF 2021 Log Reviewing Made Easy Peter Knapp source
presentation		 10
SGF 2021 Montreal Cognitive Assessment, Mini-Mental State Examination: Impairment & Dementia Cutoff Points Feier Han,
Zhen Wu,
Jing Shang,
Yutong Zhang		 source
presentation		 8
SGF 2021 Next-Generation Data Mining and Machine Learning: Python and SAS Together at Last George S. Habek,
Suman Kumar Das		 source
presentation		 24
SGF 2021 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 source 30
SGF 2021 Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All Zhengming Chen,
Bowen Zheng		 source
presentation		 11
SGF 2021 Survey Data Analysis Made Easy With SAS Melanie Dove,
Katherine Heck		 source
presentation		 8
SGF 2021 Uniform Hashing of Arbitrary Input Into Key-Exclusive Segments Paul M. Dorfman,
Donald J. Henderson		 source
presentation		 17
SGF 2021 Weight of Evidence, Dummy Variables and Degrees of Freedom Bruce S. Lund source
sas
presentation
pdf		 15
PHUSE EU 2020 Brace Yourself for Smooth Unblinding [presentation] Vladyslav Khudov source
video		 26
PHUSE EU 2020 Enhanced COVID-19 (SARS-COV-2) Detection - An Artificial Intelligence Approach [presentation] Muhammad Hamiz Ahmed,
Soundarya Palanisamy		 source
video		 37
PHUSE EU 2020 Let's Include Every Data Point: Overview of Analytical Risk-based Monitoring with Spotfire Visualisations [presentation] Raju Tadala source
video		 17
PHUSE EU 2020 MI FOR MI, OR HOW TO HANDLE MISSING INFORMATION WITH MULTIPLE IMPUTATION Daria Shamaida source
video
presentation source		 8
PHUSE EU 2020 Population Pharmacokinetic Model in SAS - Application with proc MCMC [presentation] Bruno Boulanger,
Maud Hennion		 source
video		 25
PHUSE EU 2020 Re-scaling Weights to Effective Sample Size [presentation] Andrea Parodi,
Dimitri Petratchenko		 source
video		 25
PHUSE EU 2020 Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series Iryna Kotenko,
Kostiantyn Drach		 source
video
presentation source		 32
SESUG 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 13
SESUG 2020 Check the aCRF through Programming Hengwei Liu,
Daiichi Sankyo		 source 12
SESUG 2020 Custom SAS Studio Tasks for All Occasions John Stephen Taylor source 10
SESUG 2020 Data Security in SAS using Encryption and Hashing Rajasekar Sundaram source 6
SESUG 2020 Efficiently Apply a Change File to a Large File via DATA Step MODIFY and _IORC_ Thomas E. Billings source 7
SESUG 2020 Executing long-running processes under UNIX/Linux David B. Horvath source 9
SESUG 2020 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 source 28
SESUG 2020 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 20
SESUG 2020 Outlier Detection and Treatment Ross Bettinger source 29
SESUG 2020 SAS GRAPH Animation Examples used in Data Visualization of Analytical Procedures with Public Federal Data Martha D. Pohl source 46
SESUG 2020 Some Korn Shell Scripts for SAS Programmers Hengwei Liu,
Daiichi Sankyo		 source 7
SESUG 2020 TRANSFORM A SAS DATASET TO AN EXCEL FILE FORMAT Pravin vijay Varatharaj, Cognizant Technology Solutions Pravin Vijay Varatharaj source 4
SESUG 2020 Using GENMOD to Calculate Prevalence Ratio for Concussion and Suicidal behaviors among U.S. High School Students Abbas S. Tavakoli source 13
SGF 2020 %SURVEYCORRCOV Macro: Complex Survey Data Correlations for Multivariate Analysis and Model Building David R. Nelson,
Siew Wong-Jacobson		 source 20
SGF 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 13
SGF 2020 A Level Headed Approach to the METHOD=FASTQUAD Option in the GLIMMIX Procedure Sidney J. Hann source 11
SGF 2020 A SAS Macro for Calibration of Survey Weights Anthony B. An source 12
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
SGF 2020 Add SGSCATTER, SGPLOT, SGPANEL and SGRENDER Procedures to Your SAS Toolbelt Alex Chaplin source 16
SGF 2020 An Efficient Way to Create Descriptive Tables with Pairwise Comparison Ang Gao,
Chul W. Ahn		 source 10
SGF 2020 An Introduction to Multiple Time Series Analysis and the VARMAX Procedure Xilong Chen source 19
SGF 2020 Analyzing Non-normal Data: Application to Missing Data Problems Niloofar Ramezani source 10
SGF 2020 Analyzing the Factors Impacting Suicidal Behavior in American Youth Ashlesha Sampathi source 7
SGF 2020 Bayesian Sequential Monitoring of Clinical Trials Using SAS Matthew A. Psioda source 13
SGF 2020 Best Practices for Scheduling in SAS Viya Ursula H. Polo source 13
SGF 2020 Bringing Computer Vision to the Edge: An Overview of Real-Time Image Analysis with SAS Maggie Du source 15
SGF 2020 Bringing SURVEYMEANS Up to Speed: Improving This Procedure for Estimating Domain Level Ratios Brian Simonson source 6
SGF 2020 Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards Andrea Knezevic,
Sujata Patil		 source 10
SGF 2020 Creating Custom Microsoft Excel Workbooks Using the SAS Output Delivery System, Part 1 Vincent DelGobbo source 33
SGF 2020 Data Entry in SAS Visual Analytics: Is It Possible? Xavier Bizoux source 20
SGF 2020 Dealing with Missing Data in Epidemiological and Clinical Research Andrew T. Kuligowski,
Lida Gharibvand		 source 6
SGF 2020 Developing Credit Scores with Telco Data Using Machine Learning and Agile Methodology Luciano Diettrich source 14
SGF 2020 Dynamic Programming With The SAS Hash Object Paul M. Dorfman source 23
SGF 2020 Estimating Jump Diffusion and VaR Models of REITs Returns Using High-Frequency Data in SAS Tunde Odusami source 25
SGF 2020 Estimating Unknown Change Points and Variation Using SAS Depeng Jiang,
Lin Yan,
Zhongyuan Zhang,
Shaoping Jiang		 source 14
SGF 2020 Expedite Analytics Deliver and Empowerment with a Common Analytics Base Table Jennifer L. Nenadic source 11
SGF 2020 Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies David Olaleye source 22
SGF 2020 Fitting Statistical Models with PROC MCMC Mark Ghamsary source 26
SGF 2020 Forecasting Healthcare Statistics At the Cleveland Clinic Michael Bromley source 10
SGF 2020 Forecasting Hourly Electricity Prices Joseph W. Perez source 3
SGF 2020 From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant AnnMaria De Mars source 20
SGF 2020 History Carried Forward, Future Carried Back: Mixing Time Series of Differing Frequencies Mark Keintz source 14
SGF 2020 How SAS Viya Provides a Way to Deliver Analytics to Everyone: Image Classification Examples Pavel Rogatch source 5
SGF 2020 How To Access and Manage Microsoft Azure Cloud Data using SAS Kumar Thangamuthu source 14
SGF 2020 How to Explain Your Black-Box Models in SAS Viya Funda Güneş source 26
SGF 2020 Machine Learning Approach to Combat the Opioid Epidemic Navjot Kaur source 15
SGF 2020 Making Administration Easier by Scripting the SAS Viya Command-Line Interfaces James Holman source 18
SGF 2020 Making Long Data Wide with a Flexible Macro Stephanie R. Thompson source 13
SGF 2020 Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure L. Grisell Diaz-Ramirez,
Bocheng Jing		 source 10
SGF 2020 Model Governance for AI: Rethinking Our Approach to Validating and Using Black Box Models Naeem Siddiqi source 5
SGF 2020 Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models Qianheng Ma,
Donald Hedeker		 source 14
SGF 2020 Moving from Messy Data to a Clean Analytic Dataset: Common Data Management Techniques using SAS Bethany A. Bell source 27
SGF 2020 Neural-Network Based Forecasting Strategies in SAS Viya Steven C. Mills source 14
SGF 2020 Noninvasive Beehive Monitoring through Acoustic Data Using SAS Event Stream Processing and SAS Viya Yuwei Liao source 24
SGF 2020 Obtaining National Readmission Estimates: Examining Readmission Rates in the United States Patrick Karabon source 9
SGF 2020 Open-Source Model Management with SAS Model Manager Glenn Clingroth source 16
SGF 2020 PARSING: Using SAS When the Data Are Hiding in a Non-Standard Format Andrew T. Kuligowski source 12
SGF 2020 Post-9/11 GI Bill: Teasing Out Insights about Veterans' Success in Postsecondary Education Walter Ochinko source 18
SGF 2020 Pricing Life Insurance Contracts with Early Exercise Features Using Neural Networks Helgard Raubenheimer source 9
SGF 2020 Propensity Score Matching with Survey Data Bocheng Jing source 14
SGF 2020 Rare Events or Non-Convergence with a Binary Outcome? The Power of Firth Regression in PROC LOGISTIC Patrick Karabon source 9
SGF 2020 Read Before You Read: Reading, Rewriting & Re-Reading Difficult Delimited Data in a Data Step Michael Chu source 12
SGF 2020 Real-Time Call Analytics Using SAS Viya and Open-Source Platforms Ranjit Jangam,
Anvesh Reddy Minukuri		 source 13
SGF 2020 Recent Developments in Survival Analysis with SAS Software G. Gordon Brown source 9
SGF 2020 Relationship analysis and customer churn forecasting in a financial cooperative institution Carolina Silva,
Brunno Sousa Ramos		 source 7
SGF 2020 Sailing Your Data Lake with Self-Service Data Prep Peter Baquero source 20
SGF 2020 Sample Size Calculations Using SAS, R, and nQuery Software Jenna Cody source 19
SGF 2020 SAS and Microsoft Office 365: A Programming Approach to Integration Chris Hemedinger source 25
SGF 2020 SAS Stored Process Web Services and Dynamic Data Exchange Greg Dorfner source 19
SGF 2020 SAS Studio Custom Tasks: Tips and Tricks for the Adventurous Task Author Olivia Wright source 12
SGF 2020 Semi-automatic Feature Engineering from Transactional Data James A. Cox,
Biruk Gebremariam,
Tao Wang		 source 17
SGF 2020 Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software Isaiah Lankham,
Matthew T. Slaughter		 source
github		 15
SGF 2020 Simulating Data for Complex Linear Models Phil Gibbs,
Kathleen Kiernan		 source 20
SGF 2020 Smarter and Faster Self-Service Data Preparation Atrin Assa source 11
SGF 2020 Solving the VAST Challenge: Three Case Studies Using SAS Visual Analytics Riley Benson source 17
SGF 2020 Survey Data Analysis Made Easy wth SAS Melanie Dove,
Katherine Heck		 source 8
SGF 2020 Surviving the Cox Proportional Hazards Model with the POWER Procedure Rachel R. Baxter source 6
SGF 2020 Synchronized Multivariate Resampling to Designated Distribution and Population Level with PROC SURVEYSELECT Zhiyong Chen source 10
SGF 2020 Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes Joseph C. Gardiner source 23
SGF 2020 The Essentials of SAS Dates and Times Derek P. Morgan source 25
SGF 2020 The Seven Most Popular Machine Learning Algorithms for Online Fraud Detection and Their Use in SAS Patrick Maher source 6
SGF 2020 Time After Time: D-I-D and ITS Models in SAS Margaret Warton source 21
SGF 2020 Transdermal Medicine - Challenges and Solutions with SAS Marina Komaroff source 14
SGF 2020 Turning the Crank. A Simulation of Optimizing Model Retraining David R. Duling source 17
SGF 2020 Unlock the Business Value of IoT with Analytics Jon Klopfer source 19
SGF 2020 UPDATE to the Rescue Robert Virgile source 9
SGF 2020 Using a Microsimulation to Evaluate Population and Policy Changes on Program Integrity Priorities Jonathan Smith,
Meghan Beckowski,
Michael Greene,
Andrew Kemple,
Bil Westerfield		 source 15
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
SGF 2020 Using the ODS Report Writing Interface to Streamline Publication of Existing Reports with Complex Tables James Brittain,
Barnali Das		 source 19
SGF 2020 Variable Selection Using Random Forests in SAS Denis Nyongesa source 11
SGF 2020 Vroom Vroom! Fast-Track Your Organization onto SAS Visual Analytics in SAS Viya Cathy Warner source 27
SGF 2020 What's New in SAS Data Management Nancy A. Rausch source 16
SGF 2020 What's New in SAS Visual Data Mining and Machine Learning: From a Programmer's Perspective Tao Wang source 13
SGF 2020 What's Your Favorite Color? Controlling the Appearance of a Graph Richann J. Watson source 33
SGF 2020 Winning Tactics for SAS Visual Data Mining and Machine Learning: Why it's the Only Skill You Need Chris St. Jeor source 12
SGF 2020 Write Custom Parallel Programs by Using the iml Action Rick Wicklin,
Arash Dehghan Banadaki		 source 18
PharmaSUG 2020 'This Is Not the Date We Need. Let's Backdate': An Approach to Derive First Disease Progression Date in Solid Tumor Trials Girish Kankipati,
Boxun Zhang		 source 11
PharmaSUG 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 14
PharmaSUG 2020 A SAS Macro for Dynamic Assignment of Page Numbers Manohar Modem,
Bhavana Bommisetty		 source 10
PharmaSUG 2020 Automating CRF Annotations using Python Hema Muthukumar,
Kobie O'Brian,
Julie Stofel		 source 9
PharmaSUG 2020 Best Practices for Annotated CRFs Amy Garrett source 5
PharmaSUG 2020 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
PharmaSUG 2020 Calculation of Cochran-Mantel-Haenszel Statistics for Objective Response and Clinical Benefit Rates and the Effects of Stratification Factors Girish Kankipati,
Chia-Ling (Ally) Wu		 source 8
PharmaSUG 2020 Clinical Database Metadata Quality Control: Two Approaches using SAS and Python Craig Chin,
Lawrence Madziwa		 source 16
PharmaSUG 2020 Demystifying SDTM OE, MI, and PR Domains Lyma Faroz,
Sruthi Kola		 source 8
PharmaSUG 2020 Effective Exposure-Response Data Visualization and Report by Combining the Power of R , SAS programming and VBScript Shuozhi Zuo,
Hong Yan		 source 11
PharmaSUG 2020 End-to-end Prostate-Specific Antigen (PSA) Analysis in Clinical Trials: From Mock-ups to ADPSA Joy Zeng,
Varaprasad Ilapogu,
Xinping Cindy Wu		 source 12
PharmaSUG 2020 Great Time to Learn GTL: A Step-by-Step Approach to Creating the Impossible Richann J. Watson source 26
PharmaSUG 2020 Hidden Gems in SAS Display Manager: Old Wine in New Bottle Ramki Muthu source 11
PharmaSUG 2020 Implementing a LEAD Function for Observations in a SAS DATA Step Timothy J. Harrington source 12
PharmaSUG 2020 Implementing Quality Tolerance Limits at a Large Pharmaceutical Company Steven A. Gilbert source 13
PharmaSUG 2020 MKADRGM: A Macro to Transform Drug-Level SDTM Data into Traceable, Regimen-Level ADaM Data Sets Sara McCallum source 34
PharmaSUG 2020 Natural History Study - A Gateway to Treat Rare Disease Tabassum Ambia source 5
PharmaSUG 2020 NHANES Dietary Supplement component: a parallel programming project Jayanth Iyengar source 18
PharmaSUG 2020 Oncology Graphs-Creation (Using SAS and R), Interpretation and QA Taniya Muliyil source 10
PharmaSUG 2020 One Macro to create more flexible Macro Arrays and simplify coding Siqi Huang source 6
PharmaSUG 2020 Preparing a Successful BIMO Data Package Elizabeth Li,
Carl Chesbrough,
Inka Leprince		 source 20
PharmaSUG 2020 Principal Stratum strategy for handle intercurrent events: a causal estimand to avoid biased estimates Andrea Nizzardo,
Giovanni Marino Merlo,
Simona Scartoni		 source 13
PharmaSUG 2020 Programming Technique for Line Plots with Superimposed Data Points Chandana Sudini,
Bindya Vaswani		 source 7
PharmaSUG 2020 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 source 30
PharmaSUG 2020 R for Clinical Reporting, Yes - Let's Explore it! Hao Meng,
Yating Gu,
Yeshashwini Chenna		 source 16
PharmaSUG 2020 r2rtf - an R Package to Produce Rich Text Format (RTF) Tables and Figures Siruo Wang,
Keaven Anderson,
Yilong Zhang,
Simiao Ye		 source 15
PharmaSUG 2020 Sample size and HR confidence interval estimation through simulation of censored survival data controlling for censoring rate Giulia Tonini,
Letizia Nidiaci,
Simona Scartoni		 source 10
PharmaSUG 2020 Simplifying PGx SDTM Domains for Molecular biology of Disease data (MBIO). Sowmya Srinivasa Mukundan,
Charumathy Sreeraman		 source 6
PharmaSUG 2020 Special Plots methods with diabetes disease data Yida Bao,
Zheran Wang,
Jingping Guo,
Philippe Gaillard		 source 10
PharmaSUG 2020 Standardised MedDRA Queries (SMQs): Programmers Approach from Statistical Analysis Plan (SAP) to Analysis Dataset and Reporting Sumit Pratap Pradhan source 18
PharmaSUG 2020 Tackle Oncology Dose Intensity Analysis from EDC to ADaM Song Liu,
Mijun Hu,
Jieli Fang,
Cindy Q. Song,
Quting Zhang		 source 7
PharmaSUG 2020 Updates in SDTM IG V3.3: What Belongs Where - Practical Examples Lucas Du,
William Paget,
Lingyun Chen,
Todd Case		 source 8
PharmaSUG 2020 Using Data-Driven Python to Automate and Monitor SAS Jobs Julie Stofel source 15
PharmaSUG 2020 Using SAS Simulations to determine appropriate Block Size for Subject Randomization Lists Kevin Venner,
Jennifer Ross,
Kyle Huber,
Noelle Sassany,
Graham Nicholls		 source 10
PharmaSUG 2020 What's Your Favorite Color? Controlling the Appearance of a Graph Richann J. Watson source 33
PHUSE US 2020 A Dynamic-automated Approach to Reviewing RTF Files Hrideep Antony,
Youying Yu		 source
presentation source		 10
PHUSE US 2020 A Programmer's Journey through the BIMO Submission Process Raghavender Ranga source
presentation source		 12
PHUSE US 2020 Accelerating Translational Research by Leveraging AI and Machine Learning Leveraging AI source
presentation source		 9
PHUSE US 2020 An Update on CDISC-SEND Data Submissions to FDA Jesse Anderson,
Christopher Bartlett,
Jennifer Feldmann,
Valerie Gross,
Alejandro Mankin,
Qingying Lu,
Kathryn Matto,
Lilliam Rosario		 source
presentation source		 7
PHUSE US 2020 Assessing Non-inferiority and Equivalence from Survival Data Chintan Arora,
Parvee Kumar		 source
presentation source		 7
PHUSE US 2020 Best Practices for Annotated CRFs Amy Garrett source
presentation source		 5
PHUSE US 2020 Big Data Analytics with JuliaDB Vitali Marenny source
presentation source		 6
PHUSE US 2020 Data Science Project (Educating for the Future Working Group) Aldir Medeiros Filho,
Sascha Ahrweiler		 source
presentation source		 10
PHUSE US 2020 Design and Conduct of Clinical Trials: Past Present and Future. New Innovative Technology Methods George Obsekov source
presentation source		 12
PHUSE US 2020 eSource Arising: Clinical Data Automation Possibilities Beyond Data Capture Sofie Stynen,
Annelies Van Zeveren		 source
presentation source		 8
PHUSE US 2020 Handling Missing Data in Clinical Trials: Techniques and Methods Pennidhi Karlakunta,
Naveen Kommuru		 source
presentation source		 9
PHUSE US 2020 How to reduce programming time for ADaM Creation? - Presenting STAG, a Tool Based Approach Diganta Bose source
presentation source		 16
PHUSE US 2020 Implementing New Technical Guidance: A Sponsor Experience with the April 2018 CBER Vaccine Guidance Liping Zhang,
Sandra VanPelt Ngyuen		 source
presentation source		 8
PHUSE US 2020 Integration of Biomarkers Data in Clinical Trials Prakash Dev source
presentation source		 5
PHUSE US 2020 Interactive Real-world Data Analysis Using Machine Learning Algorithms James J. Kim source
poster source		 5
PHUSE US 2020 Population PK Dataset: Basic Concepts and Challenges from the Perspective of a SAS Programmer Namrata Pokhrel source
presentation source		 12
PHUSE US 2020 Sample Size Re-estimation in Action: Design Consideration, Charter Development and Implementation [poster] Adam Hamm source 1
PHUSE US 2020 The Importance of General Linear Models (GLMs) in Clinical Research Ritesh Dhimmar,
Venkata Ikkurthy		 source 12
PHUSE EU 2019 A Data-driven and cost-effective approach towards Risk Based Monitoring Vineet Jain source
presentation source		 7
PHUSE EU 2019 A Three-pronged Approach to Central Monitoring to Identify Potential Risks and Ensure Data Quality Jill Ophoff source
presentation source		 5
PHUSE EU 2019 Analysis of composite endpoints using the Win-Ratio method in SAS Murat Ipek source
presentation source		 8
PHUSE EU 2019 Automated RTF Table Translation - An Illustrated Approach Amit Bhaniani,
Qian Wang		 source
presentation source		 9
PHUSE EU 2019 Basics of Dataset Integration Pradeep Kumar source
presentation source		 4
PHUSE EU 2019 Bioequivalence Testing for Highly Variable Drug Products (HVDPs) James R. Johnson source
presentation source		 9
PHUSE EU 2019 Development of standard BIMO process to create clinsite dataset Hilde Delanghe source
presentation source		 8
PHUSE EU 2019 Dose-finding Schemes in Clinical Trials Michael Brockmann source
presentation source		 15
PHUSE EU 2019 Early experiences using SDTM to organize clinical data collected using a physical activity tracker Martin Gram,
Gianluca Mortari		 source
presentation source		 13
PHUSE EU 2019 Incidence Density Sampling for Nested Case-control of Study Designs Rachel Tham,
Quratul Ann		 source
presentation source		 12
PHUSE EU 2019 Laboratory Data: Issues with Myultiple Reference Ranges and Methods of Normalisation Jessica Hoegg,
Laura Marquis		 source
presentation source		 20
PHUSE EU 2019 Mixed Model Repeated Measures (MMRMs) Mrudula Suryawanshi source
presentation source		 19
PHUSE EU 2019 ML07 Interpreting Black-box Machine Learning Models: Real-world Evidence Examples and Application [presentation] Jim Box source 24
PHUSE EU 2019 Multiple imputation as a valid way of dealing with missing data Vadym Kalinichenko source
presentation source		 11
PHUSE EU 2019 Next generation collaboration: using tasks and snippets in SAS Studio Fatima Kassim source
presentation source		 7
PHUSE EU 2019 Personnel Manager - Be the Owner of Checks and Balances Preeti Ghatge source
presentation source		 8
PHUSE EU 2019 Pharmacokinetic and Statistical Considerations in First-in-Human Clinical Trials Joanna Magielse source
presentation source		 4
PHUSE EU 2019 Programming in the World of PK: Guidance for the Beginner Paige Lewis source
poster source		 7
PHUSE EU 2019 SMART RPA - powered by Machine Learning Charan Kumar Kuyyamudira Janardhana source
presentation source		 10
PHUSE EU 2019 The Importance of Sleep and How Best to Measure It [presentation] Neil Stanley source 122
PHUSE EU 2019 Understanding Regular Expression and its Application in SAS Using PRX (Perl regEx) Functions Jagadish Katam source
presentation source		 8
SESUG 2019 A user-friendly and robust macro that produces a publication-ready Table 1 Daniel Brinton,
Marshall Chew		 source 5
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SESUG 2019 Aligning Analytics Strategy with Business Strategy Murali Sastry source 11
SESUG 2019 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
SESUG 2019 Bootstrapping Regression Models using PROC SURVEYSELECT Bryce Whitehead,
Austin R. Brown		 source 7
SESUG 2019 Complete your IPEDS Completions in 60 minutes or less (using SAS and Colleague) Yolanda N. Ingram source 18
SESUG 2019 Data-driven Programming Techniques using SAS Macros to Semi-automate Generation of Descriptive Tables in Healthcare Research Katie Mercaldi source 37
SESUG 2019 Don't Let Complex Survey Data Get the Best of You! SAS Survey PROCs for Categorical Data Analysis Charlotte Baker source 14
SESUG 2019 ePRO: A View from Statistical Programmer Vijetha Kode,
Saigovind Chenna		 source 18
SESUG 2019 Extending the Finkelstein-Schoenfeld test and Win Ratio to three composite Outcomes Using SAS Matheos Yosef,
Shokoufeh Khalatbari,
Scott Hummel		 source 4
SESUG 2019 Glass Box Neural Networks Ross Bettinger source 14
SESUG 2019 Great Time to Learn GTL: A Step-by-Step Approach to Creating the Impossible Richann J. Watson source 26
SESUG 2019 Hybrid Rare Event Sampling Technique Ross Bettinger source 15
SESUG 2019 Improving Employee Satisfaction Through Text Analytics Luis David Martinez source 15
SESUG 2019 Interactive Graphs Kriss Harris source 24
SESUG 2019 Intervention at the Library: Assessing the Effect of an Event David A. Dickey,
John Vickery		 source 19
SESUG 2019 Introduction to Propensity Score Modeling and Treatment Effect Estimation Jason Brinkley source 13
SESUG 2019 Leveraging "UNIX Tools" (GNU) for Data Analysis David B. Horvath source 15
SESUG 2019 Macros for Neural Network Modeling Ross Bettinger source 23
SESUG 2019 Making Life Easier on the SAS End: Best Practices for Collecting Survey Data Collecting Survey source 11
SESUG 2019 Medians/quartiles are shown for continuous data and counts/percentages are shown for categorical data Martha Wetzel source 5
SESUG 2019 One Click to Analysis Results Metadata Srivathsa Ravikiran,
Priscilla Gathoni		 source 18
SESUG 2019 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson source 30
SESUG 2019 SAS PROC IMPORT Troubleshooting Guide Imelda C. Go,
Wendi L. Wright		 source 12
SESUG 2019 Summarizing some conventional methods to classify a binary target Yida Bao,
Philippe Gaillard		 source 10
SESUG 2019 Time Series Forecasting using PROC MCMC SESUG 2019 Murali Sastry,
Tyler Hicks		 source 16
SESUG 2019 Using SAS Hash and Hiter Objects to Compute the Ability Levels that Correspond to the Rasch Model's Response Probabilities Imelda C. Go source 4
SESUG 2019 Utilizing SAS Functions to Generate Accurate Adherence Notifications for Clinical Trials Lishu Zhang,
Jiu Zhao		 source 7
SESUG 2019 Validating Classification and Recidivism in Corrections Through Outcome Analytics Alan R. Mann source 34
SESUG 2019 Who, When, and Where - A Step-by-Step Approach to Creating a Color-Coded Tracker for Clinical Trial Subjects Venita DePuy source 18
SCSUG 2019 Do you know when your data is lying to you? The HOW of Regression Analysis with Quantitative and Qualitative Variables Steven C. Myers source 20
SCSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers source 28
SCSUG 2019 How to Land Work as a SAS Professional Charu Shankar source 16
SCSUG 2019 Pattern Analysis and Predictive Policing Using Socio-Economic Factors Trishla Mishra source 12
SCSUG 2019 Uplift Modeling in Retail Marketing using SAS Aashish Arjan Bugalia,
Agastya Komarraju,
Miriam McGaugh		 source 15
MWSUG 2019 Comparison of three methods for transforming predictor variables to improve model fit using SAS Douglas Thompson 13
MWSUG 2019 Evaluate your SCORE: Logistic regression prediction comparison using the SCORE statement Robert G. Downer 6
MWSUG 2019 Explore your data before you rush to analysis, you will thank me later: explorations in cross section data Steven C. Myers 28
MWSUG 2019 Frequency matching case-control techniques: an epidemiological perspective Hai Nguyen 8
MWSUG 2019 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes 22
MWSUG 2019 Interactive Graphs Richann J. Watson,
Kriss Harris		 24
MWSUG 2019 Logistic Regression, Basics and Beyond Bruce S. Lund 35
MWSUG 2019 Look Up Not Down: Advanced Table Lookups in Base SAS Jayanth Iyengar,
Joshua M. Horstman		 24
MWSUG 2019 Quick, Call the "FUZZ": Using Fuzzy Logic Richann J. Watson,
Louise S. Hadden		 30
MWSUG 2019 Sample Size and Design Considerations in Studies Assessing Non-Inferiority using Continuous Outcomes Michael G. Wilson 19
MWSUG 2019 Simulating Skewed Multivariate Distributions Using SAS: Cases of Lomax, Mardia's Pareto (Type I), Logistic, Burr and F Distributions Zhixin Lun,
Ravindra Khattree		 11
MWSUG 2019 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
MWSUG 2019 Using ODS Trace (DOM), Procedural Output and ODS Output Objects to Create the Output of Your Dreams Louise S. Hadden 26
WUSS 2019 Better to Be Mocked Than Half-Cocked: Data Mocking Methods to Support Functional and Performance Testing of SAS Software Troy Martin Hughes source 17
WUSS 2019 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes source 35
WUSS 2019 Great Time to Learn GTL: A Step-by-Step Approach to Creating the Impossible Richann J. Watson source 26
WUSS 2019 Implementing the Hamiltonian Monte Carlo Sampling algorithm in PROC MCMC Elsa Vazquez Arreola source 10
WUSS 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
WUSS 2019 Limit of Detection (LoD) Estimation Using Maximum Likelihood from (Hit) Rate Data: The LoD_MLE SAS Macro Jesse Albert Canchola,
Jeffrey E. Vaks,
Shaowu Tang		 source 11
WUSS 2019 Modern Data Visualization and Presentation: for SAS users Jay Ahn source 9
WUSS 2019 Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency Louise S. Hadden source 20
WUSS 2019 PARSING: Using SAS When the Data Are Hiding in a Non-Standard Format Andrew T. Kuligowski source 16
WUSS 2019 Polynomial Regression for Modeling Curvilinear Data: A Biological Example Elisha Johnston source 20
WUSS 2019 Root Cause Analysis Using Pinnacle 21 Validation Reports: How to Improve End-to-End Programming Process Aakar Shah,
Tracy Sherman		 source 13
WUSS 2019 Statistical Power Calculations Using SAS Software Russell M. Lavery source 18
WUSS 2019 Transporting Your SAS Content to SAS Communities and Integrating Your Content into GitHub Louise S. Hadden source 12
WUSS 2019 Variable Selection Using Random Forests in SAS Denis Nyongesa source 11
WUSS 2019 Working with Sparse Matrices in SAS Andrew T. Kuligowski,
Lisa A. Mendez		 source 9
PharmaSUG 2019 %LOGBINAUTO: A SAS 9.4 Macro for Automated Forward Selection of Log-Binomial Models Matthew Finnemeyer source 12
PharmaSUG 2019 7 Habits of Highly Effective (Validation Issue) Managers Amy Garrett source 6
PharmaSUG 2019 A macro of evaluating the performance of the log-rank test using different weight for enrichment studies Chuanwu Zhang,
Byron J. Gajewski,
Jianghua(Wendy) He		 source 13
PharmaSUG 2019 A Quick Way to Cross Check Listing Outputs Shunbing Zhao source 4
PharmaSUG 2019 A Standardized Data Sample: Key to Improving the Submission Strategy Prafulla Girase,
Joanna Koft		 source 5
PharmaSUG 2019 A Utility to Automate Reconciliation of Report Numbers and Titles Valerie Williams,
Ganesh Prasad		 source 5
PharmaSUG 2019 ADME Study PK SDTM/ADaM And Graph Fan Lin source 9
PharmaSUG 2019 An Application of Supervised Machine Learning Models on Natural Language Processing: Classifying QC Comments into Categories Xiaoyu Tang,
Todd Case		 source 10
PharmaSUG 2019 Auto-Annotate Case Report Forms with SAS and SAS XML Mapper Yating Gu source 7
PharmaSUG 2019 Automated Dynamic Data Exchange (DDE) Replacement Solution for SAS GRID Ajay Gupta source 15
PharmaSUG 2019 Automation of Review Process Shunbing Zhao source 6
PharmaSUG 2019 Bayesian Methods for Treatment Design in Rare Diseases Xuan Sun,
Ruohan Wang		 source 5
PharmaSUG 2019 Bidirectionality to LOINC: Handling the Nitty Gritty of Lab Data Bhargav Koduru source 8
PharmaSUG 2019 Camouflage your Clinical Trial with Machine Learning and AI Ajith Baby Sadasivan,
Limna Salim,
Akhil Vijayan,
Anoop Ambika		 source 10
PharmaSUG 2019 CBER Data Standards Update and BioCompute Progress Elaine Thompson source 27
PharmaSUG 2019 China NMPA (National Medical Products Administration) reform and new regulations/guidelines/requirements Yi Yang source 11
PharmaSUG 2019 Clinical Development Standards for FDA Bioresearch Monitoring (BIMO) Submissions Denis Michel,
Julie Maynard		 source 11
PharmaSUG 2019 Considerations and Updates in the Use of Timing Variables in Submitting SDTM-Compliant Datasets Jerry Salyers source 9
PharmaSUG 2019 Do-It-Yourself CDISC! A Case Study of Westat's Successful Implementation of CDISC Standards on a Fixed Budget Richard M. Mitchell,
Rachel Brown,
Jennifer K. Fulton,
Stephen Black,
Marie Byrd Alexander		 source 6
PharmaSUG 2019 Enhancing Randomization Methodology Decision-Making with SAS Simulations Kevin Venner,
Jennifer Ross,
Kyle Huber,
Graham Nicholls		 source 15
PharmaSUG 2019 Equivalence, Superiority and Non-inferiority with Classical Statistical Tests: Implementation and Interpretation Marina Komaroff source 7
PharmaSUG 2019 Generate Customized Table in RTF Format by Using SAS Without ODS RTF - RTF Table File Demystified Kai Koo source 13
PharmaSUG 2019 Generating Color Coded Patient ID Spreadsheet (PID list) To Make It Easier for the Reviewers. Ranjith Kalleda,
Ashok Abburi		 source 5
PharmaSUG 2019 Hands-on Training for Machine Learning Programming Kevin Lee source 12
PharmaSUG 2019 Have You Met Define.xml 2.0? Christine McNichol source 15
PharmaSUG 2019 Homogenizing Unique and Complex data into Standard SDTM Domains with TAUGs Sowmya Srinivasa Mukundan,
Charumathy Sreeraman		 source 10
PharmaSUG 2019 Implementing Laboratory Toxicity Grading for CTCAE Version 5 Keith Shusterman,
Mario Widel		 source 11
PharmaSUG 2019 Integrating programming workflow into computing environments: A closer look Tyagrajan Swaminathan,
Sridhar Vijendra		 source 11
PharmaSUG 2019 Integrating SAS and Microsoft Excel: Exploring the Many Options Available to You Vincent DelGobbo source 23
PharmaSUG 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
PharmaSUG 2019 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 21
PharmaSUG 2019 Machine Learning Approaches to Identify Rare Diseases Xuan Sun,
Ruohan Wang		 source 5
PharmaSUG 2019 Making the Days Count: Counting Distinct Days in Overlapping or Disjoint Date Intervals Noory Y. Kim source 12
PharmaSUG 2019 More Traceability: Clarity in ADaM Metadata and Beyond Wayne Zhong,
Richann J. Watson,
Daphne E. Ewing,
Jasmine Zhang		 source 26
PharmaSUG 2019 Multiple Studies BIMO Submission Package - A Programmer's Perspective Ramanjulu Valluru,
Harsha Dyavappa		 source 17
PharmaSUG 2019 Order, Order! Four Ways To Reorder Variables with SAS, Ranked by Elegance and Efficiency. Louise S. Hadden source 22
PharmaSUG 2019 Pharmacokinetic Parameters for Sparse and Intensive Sampling - Nonclinical and Clinical Studies Shallabh Mehta source 5
PharmaSUG 2019 Practical Guidance for ADaM Dataset Specifications and Define.xml Jack Shostak source 14
PharmaSUG 2019 Practical Perspective in Sample Size Determination Bill Coar source 16
PharmaSUG 2019 PROC SORT (then and) NOW Derek P. Morgan source 10
PharmaSUG 2019 Programmatically mapping source variables to output SDTM variables based upon entries in a standard specifications Excel file Frederick A. Cieri,
Rama Arja,
Zev Kahn,
Ramesh Karuppusamy		 source 16
PharmaSUG 2019 Progression-Free Survival (PFS) Analysis in Solid Tumor Clinical Studies Na Li source 14
PharmaSUG 2019 Put on the SAS Sorting Hat and Discover Which Sort is Best for You! Louise S. Hadden,
Charu Shankar		 source 8
PharmaSUG 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 source 23
PharmaSUG 2019 Sample Size Determination with SAS Studio Bill Coar source 13
PharmaSUG 2019 SAS V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials Lingling Li source 11
PharmaSUG 2019 SDSP (Study Data Standardization Plan) Case Studies and Considerations Kiran Kumar Kundarapu source 8
PharmaSUG 2019 Six Useful Data Tool Macros Ting Sa source 24
PharmaSUG 2019 Statistical Assurance in SAS: An Introduction and User-s Guide Jonathan L Moscovici,
Milena Kurtinecz		 source 8
PharmaSUG 2019 Strategy to Evaluate the Quality of Clinical Data from CROs Charley Z. Wu source 7
PharmaSUG 2019 Text Analysis of QC/Issue Tracker Using Natural Language Processing (NLP) Tools Huijuan Zhang,
Todd Case		 source 8
PharmaSUG 2019 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
PharmaSUG 2019 The Power of PROC FORMAT Jonas V. Bilenas,
Kajal Tahiliani		 source 13
PharmaSUG 2019 Time Since Last Dose: Anatomy of a SQL Query Derek P. Morgan source 12
PharmaSUG 2019 Unleash the Power of Less Well Known but Useful SAS DATA Step Functions Timothy J. Harrington source 22
PharmaSUG 2019 Useful SAS techniques in Efficacy Analysis for Oncology studies Joy Zeng source 21
PharmaSUG 2019 Where Is the Information We Are Looking For? Jeff Xia source 8
PharmaSUG 2019 With a Trace: Making Procedural Output and ODS Output Objects Work For You Louise S. Hadden source 26
SGF 2019 A Comparison of Algorithmic and Epidemiologic Approaches for Modeling Predictors of Type II Diabetes Audrey Whittle source 8
SGF 2019 A Neural Net Brain for an Autocompletion Engine: Improving the UX though Machine Learning Alona Bulana,
Igor Khorlo		 source 11
SGF 2019 A Selective Overview of Panel Data with Applications in SAS Oral Capps source 26
SGF 2019 An ETL Macro Toolbox: Simplify How You Add Class Variables and Low Volume Limits Zeke Torres source 22
SGF 2019 Applying Propensity Score Methods to Complex Survey Data Using PROC PSMATCH Patrick Karabon source 10
SGF 2019 Asking the Right Questions: A study in Multiclass Imbalanced Classification for H1-B Visas Matthew Bunker,
Owen Kelly		 source 7
SGF 2019 Automated Dynamic Data Exchange (DDE) Replacement Solution for SAS GRID Computing Ajay Gupta source 15
SGF 2019 Automatic LITI Rule Generation for Information Extraction Teresa Jade,
Xu Yang,
Christina Hsiao,
Aaron Arthur		 source 14
SGF 2019 Be Prepared: An Introduction to SAS Data Preparation Mary Kathryn Queen source 16
SGF 2019 Capture-Recapture Databases for Data for Good Projects David J. Corliss source 10
SGF 2019 Color Your Experience: Crafting Appealing Themes Using SAS Theme Designer Lora Edwards,
Lisa Everdyke,
Corey Benson		 source 15
SGF 2019 Conveying Your Brand Identity Robby Powell source 10
SGF 2019 Developing a Credit Risk Model Using SAS Amos Odeleye source 16
SGF 2019 Disclosure Control: Project Management Issues and Solutions Peter Timusk source 4
SGF 2019 Don't leave it to the discretion of ODS Graphics: Use Discrete Attribute Map Shilpakala Vasudevan source 10
SGF 2019 Don't Let Complex Survey Data Get the Best of You! SAS Survey PROCs for Categorical Data Analysis Charlotte Baker source 16
SGF 2019 Dynamic Call Center Simulation in SAS: Revamping the Business Resiliency Process at JPMorgan Chase Jay P. Carini,
Amy Pielow,
Joel C. Weaver		 source 16
SGF 2019 Enabling SAS Forecast Server To Perform Best On Automated walmart.com Sales Forecasting Alexander Chobanyan,
Sangita Fatnani		 source 9
SGF 2019 Evaluating and Improving the Efficiency of Inference Rules for Segmentation in SAS Alec Zhixiao Lin source 9
SGF 2019 Exploring Computer Vision in Deep Learning: Object Detection and Semantic Segmentation Xindian Long,
Maggie Du,
Xiangqian Hu		 source 20
SGF 2019 Great Time to Learn GTL: A Step-by-Step Approach to Creating the Impossible Richann J. Watson source 26
SGF 2019 How to Land Work as a SAS Professional Charu Shankar source 16
SGF 2019 Human Trafficking Research: The Persistence and Movement of Phone Numbers in Escort Ads Miriam McGaugh,
James Van Scotter,
Lauren Ann Agrigento,
Denise J. McManus,
Tom Kari		 source 10
SGF 2019 Identifying the Most Probable Principal Psychiatric Diagnosis Using Administrative Data Qingxian Chen,
Emily Leckman-Westin		 source 16
SGF 2019 IFRS9: Using SAS/ETD Software and SAS Studio to Select Macro Economic Variables Julio Alberto Campa Vega Filho source 19
SGF 2019 Improve Your AML Monitoring While Reducing Costs with SAS Viya Calvin Crase,
Chris St. Jeor		 source 11
SGF 2019 Integrating Case Studies in a Health Analytics Curriculum Besa Smith,
Tyler C. Smith		 source 21
SGF 2019 Integrating SAS and Microsoft Excel: Exploring the Many Options Available to You Vincent DelGobbo source 23
SGF 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 23
SGF 2019 International Financial Reporting Standard IFRS 17: Practical Experiences from Implementation Sebiha Sahin source 9
SGF 2019 Introduction to Esri Integration in SAS Visual Analytics Jeffrey Phillips,
Scott Hicks,
Tony Graham		 source 25
SGF 2019 Joint Analysis of Failure Times and Time-Varying Covariates Joseph C. Gardiner source 22
SGF 2019 Latin Hypersquare Sampling and Genetic Algorithm in SAS/IML for Hyperparameter Optimization Andrea Magatti source 16
SGF 2019 Learning Data Science with SAS University Edition and JupyterLab Brian R. Gaines source 17
SGF 2019 Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software David Richard Cutler source 21
SGF 2019 Machine Learning for Effective Surveillance with SAS Adaptive Learning and Intelligent Agent System Rory MacKenzie source 14
SGF 2019 Macro-mize Your Time: Using SAS to Email Hundreds of Individualized Reports in Minutes Salma Ibrahim source 12
SGF 2019 Making Life Easier on the SAS End: Best Practices for Collecting Survey Data Julie Plano,
Keli Sorrentino		 source 11
SGF 2019 Measuring Model Stability Daymond Ling source 15
SGF 2019 Modern, Fast, Automated and Secure Trigger-Based SAS 9.4 Application Configuration Timo Blomqvist,
Tapio Kalmi		 source 9
SGF 2019 Modernize Your Business Intelligence Content from SAS 9 to SAS Viya in Three Steps Gregor Herrmann source 10
SGF 2019 Months to Weeks: SAS Credit Scoring Express Implementation Abhijit S. Joshi source 12
SGF 2019 Multi-tenancy in SAS Viya : Considerations and Implementation Eric Davis source 23
SGF 2019 Multiple Imputation for Skewed Multivariate Data: A Marriage of the MI and COPULA Procedures Zhixin Lun,
Ravindra Khattree		 source 9
SGF 2019 Optimizing Product Assortment with Total Unduplicated Reach and Frequency Analysis in SAS/OR Jay Laramore source 16
SGF 2019 Playing Favorites: Our Top 10 Model Studio Features in SAS Visual Data Mining and Machine Learning Wendy Czika,
Peter Gerakios		 source 16
SGF 2019 Predicting Inside the Dead Zone of Complete Separation in Logistic Regression Robert Derr source 15
SGF 2019 Predicting Patients at High Risk of Hospital-Acquired Conditions Using the LOGISTIC Procedure Jennifer Hargrove,
Pamela Hipp,
Glenn Sidle		 source 12
SGF 2019 Prevent Culture Shock with SAS National Language Support Formats Yingying Zhao source 14
SGF 2019 Process Manager Batch Job Monitoring Pradeep Ponnusamy source 9
SGF 2019 Pseudo-Random Numbers in SAS Model Implementation Platform Joel Dood source 11
SGF 2019 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
SGF 2019 Review and Comparing (Analyzing) Relationship between Teacher Judgment and Student Performance in North Carolina Sareh Meshkinfam,
Julie S. Ivy,
Amy C. Reamer		 source 15
SGF 2019 Sample Size Determination with SAS Studio William Coar source 13
SGF 2019 SAS and Teradata: SEe the Advances Heather Burnette,
Greg Otto,
Salman Maher		 source 15
SGF 2019 SAS Enterprise Miner and SAS Visual Data Mining and Machine Learning Hand Shake Jagruti Kanjia,
Dominique Latour,
Holly Sweeney		 source 35
SGF 2019 SCORE! Techniques for Scoring Predictive Regression Models Using SAS/STAT Software Phil Gibbs,
Randy Tobias		 source 18
SGF 2019 Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model Bruce S. Lund source 21
SGF 2019 Seriously Serial or Perfectly Parallel Data Transfer with SAS Viya Robert Collum source 35
SGF 2019 Simple Techniques to Improve the Performance of your SAS Programs When Processing Large Data Sets Steve Cavill source 20
SGF 2019 SuperFreq: using the REPORT Procedure to Create Multi-Level Frequency Tables Jedediah J. Teres source 17
SGF 2019 Survival Estimates Prediction with Survey Data Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin,
Alexandra K. Lee,
Sei J. Lee		 source 12
SGF 2019 Ten Underused Features That Improve Your SAS Forecast Server Workflow Evan Anderson,
Michael J. Leonard		 source 18
SGF 2019 The Aftermath What Happens after you Deploy Your Models and Decisions David R. Duling source 18
SGF 2019 The Anatomy of an Artificial Intelligence Solution for Automation of Underwriting Decision-Making Tanya Kolosova source 17
SGF 2019 The Bayesians are Coming! The Bayesians are Coming! The Bayesians Are Coming to Time Series! Aric LaBarr source 13
SGF 2019 The Essentials of SAS Dates and Times Derek P. Morgan source 25
SGF 2019 The Power of REST API and CLI with SAS Visual Analytics 8.3: Automate Your Tasks with a Batch Job Rain Kang source 16
SGF 2019 The Relationship Between Social Determinants of Health and Healthcare Utilization Ryan C. Butterfield,
Melissa Gottschalk,
Laura Soloway,
Paul A. LaBrec		 source 16
SGF 2019 The SAS Hash Object: Well Beyond Table Lookup Paul M. Dorfman,
Donald J. Henderson		 source 27
SGF 2019 The Science of Workflow Management: Modeling Business Processes in SAS Simulation Studio Dave Manet source 38
SGF 2019 There's a Map for That! What's New and Coming Soon in SAS Mapping Technologies Jeffrey Phillips,
Tony Graham,
Scott Hicks		 source 31
SGF 2019 Thirteen Statistics Every Biostatistician Should Know AnnMaria De Mars source 20
SGF 2019 Transforming Ordinal Predictors to Numeric For Binary Logistic Models Bruce S. Lund source 10
SGF 2019 Using Parallel Analytics to Determine the Dimensionality of the Computer-Based Prostate Cancer Screen Abbas S. Tavakoli,
Otis L. Owens,
Nikki R. Wooten		 source 10
SGF 2019 Using SAS at SAS: Content Targeting Segmentation Strategy with SAS Customer Intelligence 360 Mark Korey source 20
SGF 2019 Using SAS Forecast Server and the SASEFRED Engine to Enhance Your Forecast Catherine LaChapelle source 7
SGF 2019 Using SAS MACRO to Demonstrate Data Presentation Standards for Proportions Mary Ann Bush,
Nazik Elgaddal		 source 12
SGF 2019 Using SAS to Validate Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 source 9
SGF 2019 Using SAS Viya to Implement Custom SAS Analytics in Python; A Cybersecurity Example Damian Herrick source 12
SGF 2019 What's New for Report Localization in SAS Visual Analytics 8.3 Elizabeth Bales,
James Holman		 source 12
SGF 2019 Working with ODS Trace Statement and ODS Output Objects Louise S. Hadden source 26
SGF 2019 Zero-Inflated and Zero-Truncated Count Data Models with the NLMIXED Procedure Robin High source 18
PHUSE US 2019 A SAS Macro for Variable Ratio Treatment vs. Placebo in Propensity Score Matching Punjita Baranwal,
Prashant Kulkarni		 source
presentation source		 13
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source		 11
PHUSE US 2019 Check Your Data: Tools for Automating Data Assessment Paul Stutzman source
presentation source		 10
PHUSE US 2019 Clinical Trials on Blockchain Rohit Banga,
Mohit Juneja		 source
presentation source		 8
PHUSE US 2019 Compliance Report for Patient Reported Outcomes Shu-Ching,
Christine S Teng		 source
presentation source		 8
PHUSE US 2019 Creating the Virologic Response ADaM Dataset Manjusha Alapati source
presentation source		 7
PHUSE US 2019 Creation of Define-XML v2.0 Using SAS Program and Pinnacle 21 Yan Lei,
Yongjiang Xu		 source
presentation source		 10
PHUSE US 2019 Dashboarding Analytics for Oncology Endpoint Data Using SAS Vidya Muthukumar source
presentation source		 7
PHUSE US 2019 Data Harmonization Using Machine Learning [presentation] Lex Jansen source 20
PHUSE US 2019 Developing SEND for CBER - Collaborative Workstream Initiative Lisa Lin,
Susan DeHaven		 source
presentation source		 6
PHUSE US 2019 Ensuring Consistent and Supported Standards Across Data and Metadata in a Large Regulatory Filing is Tricky Business Lisa Kaye Brooks source
presentation source		 10
PHUSE US 2019 Fitting Programming Processes into Workflows on Systems - Is the Square Peg in a Round Hole? Sridhar Vijendra,
Tyagrajan Swaminathan		 source
presentation source		 10
PHUSE US 2019 Integrative Analysis of Circulating Tumor Cell Counts and Gene Expression Levels Yauheniya Cherkas source
presentation source		 8
PHUSE US 2019 Metadata-driven Automation in Drug Research Hanming Tu,
Zhongping Lin		 source
presentation source		 13
PHUSE US 2019 Misuse and Misapplication in Statistical Data Analysis - A Topic that Never Goes Out of Style Corinna Miede source
presentation source		 12
PHUSE US 2019 Perl Functions in SAS: Perl Functions Can Add Pearl in Your Code Kamleshkumar Patel,
Jigar Patel		 source
presentation source		 8
PHUSE US 2019 SDSP (Study Data Standardization Plan) Case Studies and Considerations Kiran Kumar Kundarapu,
Nicole Gallegos		 source
poster source		 6
PHUSE US 2019 Streamlining the Results Reporting for ClinicalTrials.gov and EudraCT Naresh Tulluru,
Susruth Ganoothula		 source
presentation source		 7
SCSUG 2018 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 16
SCSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
SCSUG 2018 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson source 35
SCSUG 2018 Backward Elimination in Firth's penalized partial likelihood Approach: Firth's Logistic and Cox Models Chao Zhang source 7
SCSUG 2018 Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency Louise S. Hadden source 20
SCSUG 2018 Wow! You Did That Map With SAS?! Round II Louise S. Hadden source 30
PHUSE EU 2018 A Free Tool to Automatically Generate User Documentation for SAS Macro Libraries Loizos Nicolaou,
Julien Vanwinsberghe		 source
presentation source		 10
PHUSE EU 2018 An Efficient Way for Statistical Review Using RShiny Application Adarsh Nagare,
Sameer Bamnote		 source
presentation source		 9
PHUSE EU 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source
presentation source		 14
PHUSE EU 2018 Can You Cut It? Implementing the Data Cut-off Lewis Meares source
presentation source		 9
PHUSE EU 2018 Clinical Trials on Blockchain Rohit Banga,
Mohit Juneja		 source
presentation source		 8
PHUSE EU 2018 Enhancing the Application of Real-world Evidence with Episode of Care Analytics David Olaleye,
Lina Clover		 source
presentation source		 13
PHUSE EU 2018 eSource to SDTM: Trade-offs and Pay-offs Donald Benoot,
Swapna Pothula		 source
presentation source		 11
PHUSE EU 2018 Handling CRF Design Changes in a Live Environment Andre Snelting,
Nieke De Ruiter		 source
presentation source		 10
PHUSE EU 2018 Handling Missing Data in Clinical Trials Using Topological Data Analysis Sergey Glushakov,
Andrey Rekalo		 source
presentation source		 10
PHUSE EU 2018 Implementation of Data Cut Off in Analysis of Clinical Trials Ann Croft source
presentation source		 13
PHUSE EU 2018 Propensity Score Matching Stephanie Fechtner source
presentation source		 9
PHUSE EU 2018 Sample Size: A Couple More Hints to Handle it Right Using SAS and R Andrii Artemchuk source
presentation source		 11
PHUSE EU 2018 Standardised Data Sample: Key to Improving the Submission Strategy Prafulla Girase,
Joanna Koft		 source
presentation source		 4
PHUSE EU 2018 Study URI Kerstin Forsberg,
Daniel Goude		 source
presentation source		 9
SESUG 2018 A Beginner's Babblefish: Basic Skills for Translation Between R and SAS Sarah Woodruff source 19
SESUG 2018 A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma Hurricane Irma source 11
SESUG 2018 A Flexible Approach to Computing Bayes' Factors with PROC MCMC Tyler Hicks source 9
SESUG 2018 A User Defined SDTM Data Quality Checking and Tracking System Zemin Zeng,
Yunzhi Ling		 source 6
SESUG 2018 Accredited, Bona fide, Certified, Diploma'ed, and Edumacated: The ABCDEs of Automating the Validation and Monitoring of Professional Requirements for Employees and Job Candidates Through Dynamic, Data-Driven SAS Reporting Troy Martin Hughes source 20
SESUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
SESUG 2018 Case Study: Using Base SAS to Automate Quality Checks of Excel Workbooks that have Multiple Worksheets Lisa A. Mendez,
Andrew T. Kuligowski		 source 10
SESUG 2018 Comparison of SAS, SAS University Edition, and Microsoft Excel in Collaborative Data Analysis of Physical Properties by Scientist and Statistical Programmer John Schreiber source 6
SESUG 2018 Easily Updating Programs with the SAS Macro Language: an EDFacts Example Aaron Brown source 8
SESUG 2018 Efficient DATA Step Random Sampling Out Of Thin Air Paul M. Dorfman source 16
SESUG 2018 Enrollment Management Utilities Marla Mamrick,
Philip Moore		 source 5
SESUG 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SESUG 2018 Insights from a SAS Technical Support Guy: A Deep Dive into the SAS ODS Excel Destination Chevell T. Parker source 24
SESUG 2018 Introduction to Data Simulation Jason Brinkley source 9
SESUG 2018 Investigation of Impact on Smoking due to Vaporizing in High Schools Justin Williams source 17
SESUG 2018 Let's Get FREQy with our Statistics: Data-Driven Approach to Determining Appropriate Test Statistic Richann J. Watson,
Lynn Mullins		 source 14
SESUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 22
SESUG 2018 Obtain better data accuracy using reference tables Kiran Venna,
Suryakiran Pothuraju		 source 10
SESUG 2018 Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency Louise S. Hadden source 20
SESUG 2018 Password Protection of SAS Enterprise Guide Projects Thomas E. Billings source 7
SESUG 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 23
SESUG 2018 Sorting Arrays Using the Hash Object Paul M. Dorfman source 17
SESUG 2018 Tips for Pulling Data from Oracle Using PROC SQL Pass-Through John J. Cohen source 10
SESUG 2018 Transformation of Patient Reported Outcome Survey Responses Made Simple with JMP Mira Shapiro MSc., Analytic Designers LLC Mira Shapiro,
Lorraine Johnson		 source 12
SESUG 2018 Working in SGPLOT: Understanding the General Logic of Attributes James E. Blum source 12
SESUG 2018 Wow! You Did That Map With SAS?! Round II Louise S. Hadden source 31
MWSUG 2018 A Macro that Can Get the Geo Coding Information from the Google Map API Ting Sa 6
MWSUG 2018 A Macro to Calculate Sample Size for Studies Using the Proportional Time Assumption Brian Mosier,
John Keighley,
Milind Phadnis		 7
MWSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 18
MWSUG 2018 Application of heavy-tailed distributions using PROC IML, NLMIXED and SEVERITY Palash Sharma 14
MWSUG 2018 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson 37
MWSUG 2018 Bootstrap Linear Mixed-Effects Models using SAS Procedures Adams Kusi Appiah 17
MWSUG 2018 Confounded? This example shows how to use SAS chi-square tests, correlations and logistic regression to unconfound a result. Michael C. Grierson 13
MWSUG 2018 Customized Project Tracking with SAS and Jira Nancy Brucken 8
MWSUG 2018 Data-Driven Data Analysis Jack N. Shoemaker 10
MWSUG 2018 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes 35
MWSUG 2018 How to Navigate in a Maze of the Raking Macro with Advanced Weight Trimming Michael P. Battaglia,
David Izrael,
Sarah Ball		 13
MWSUG 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory,
Karlen Bader		 22
MWSUG 2018 Order, Order! Four Ways to Reorder Your Variables, Ranked by Elegance and Efficiency Louise S. Hadden 20
MWSUG 2018 Pan-Cancer Epigenetic Biomarker Selection from Blood Sample Using SAS Xi Chen,
Jin Xie,
Qingcong Yuan		 9
MWSUG 2018 Propensity Scores and Causal Inference for (and by) a Beginner Bruce S. Lund 18
MWSUG 2018 Regularization Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory,
Karlen Bader		 23
MWSUG 2018 Screening, Transforming, and Fitting Predictors for Cumulative Logit Model Bruce S. Lund 22
MWSUG 2018 Self-service utility to List and Terminate SAS grid jobs Venkateswarlu Toluchuri 8
MWSUG 2018 Show Me That? Using SAS VIYA, Visual Analytics and Free ESRI Maps to Show Geographic Data John Schmitz 12
MWSUG 2018 Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt		 20
MWSUG 2018 Toward Adoption of Agile Software Development in Clinical Trials Troy Martin Hughes 7
MWSUG 2018 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
MWSUG 2018 Using SAS to Validate Clinical Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 8
MWSUG 2018 Using your FREQ effectively: Displays to Decipher Proportional Odds in Ordinal Regression Robert G. Downer 11
MWSUG 2018 Wow! You Did That Map With SAS?! Round II Louise S. Hadden 30
WUSS 2018 Advanced Programming Techniques Using the DS2 Procedure Viraj R Kumbhakarna source 20
WUSS 2018 Agreeing to Disagree: Using SAS to Make Reasoned Decisions When Information Criteria Select Different Models Wendy Christensen source 10
WUSS 2018 Analyzing international assessments: An ensemble and model comparison approach Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara		 source 13
WUSS 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
WUSS 2018 Better than Average: Calculating Geometric Means Using SAS Kim Roenfeldt source 9
WUSS 2018 Case Study: Using Base SAS to Automate Quality Checks of Excel Workbooks that have Multiple Worksheets Lisa A. Mendez,
Andrew T. Kuligowski		 source 10
WUSS 2018 Combined Predictor Selection for Multiple Clinical Outcomes Using PHREG L. Grisell Diaz-Ramirez,
Siqi Gan,
Sei J. Lee,
Alexander Smith,
John Boscardin		 source 14
WUSS 2018 Data-Driven Data Analysis Jack N. Shoemaker source 10
WUSS 2018 Dissecting the Burnout Factor for Modeling Mortgage Refinancing Alec Zhixiao Lin source 6
WUSS 2018 Forecasting: Something Old, Something New David A. Dickey source 26
WUSS 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
WUSS 2018 Generating Variable Attributes for Define 2.0 Abhinav Srivastva source 10
WUSS 2018 IMPORTING DATA WITH DDE (Dynamic Data Exchange) Or Proc Import? Humberto Cisneros source 19
WUSS 2018 Interpreting electronic health data using SAS PRX functions Amy Alabaster,
Mary Anne Armstrong		 source 13
WUSS 2018 Let's Get FREQy with our Statistics: Data-Driven Approach to Determining Appropriate Test Statistic Richann J. Watson,
Lynn Mullins		 source 14
WUSS 2018 Logistic and Linear Regression Assumptions: Violation Recognition and Control Deanna Naomi Schreiber-Gregory source 21
WUSS 2018 Machine Learning - Why we should know it and how it works Kevin Lee source 8
WUSS 2018 Non-parametric Analysis of the Variance in SAS Hend Aljobaily source 11
WUSS 2018 Oops, I D-I-D It Again! Advanced Difference-in-Differences Models in SAS Margaret Warton,
Melissa Parker		 source 17
WUSS 2018 Optimizing Exam Schedules at Oklahoma State University Thu Nguyen source 12
WUSS 2018 Password Protection of SAS Enterprise Guide Projects Thomas E. Billings source 7
WUSS 2018 PROC SORT (then and) NOW Derek P. Morgan source 10
WUSS 2018 Regulation Techniques for Multicollinearity: Lasso, Ridge, and Elastic Nets Deanna Naomi Schreiber-Gregory source 23
WUSS 2018 Survey data analysis made easy with SAS: a hands-on workshop [presentation] Melanie Dove,
Katherine Heck		 source 38
WUSS 2018 The Anatomy of Artificial Intelligence Solution for Automation of Underwriting Decision-Making Process. Samuel Berestizhevsky,
Tanya Kolosova		 source 16
WUSS 2018 Using PROC MCMC in a Process Control Setting: An Illustrative Example with PROC IML Austin R. Brown source 8
WUSS 2018 When the Mean Isn't Enough: Methods for Assessing Individual Differences using SAS Melissa McTernan source 8
WUSS 2018 Wow! You Did That Map With SAS?! Round II Louise S. Hadden source 30
PHUSE US 2018 A Picture is Worth a Thousand Words; Analyzing Clinical Data with Sequencing Data Nalin Tikoo source
presentation source		 10
PHUSE US 2018 Adverse Event Analysis - One step forward! Anuja Rasal source
presentation source		 11
PHUSE US 2018 An Automated Macro to Compare Data Transfers Franklin E. Menius source
presentation source		 11
PHUSE US 2018 Drug-Induced Liver Injury (DILI) Classification Using FDA-Approved Drug Labeling and FAERS Data - FDA Qais Hatim source
presentation source		 31
PHUSE US 2018 FDA Experience with Emerging Genomics Technologies [presentation] Weida Tong source 16
PHUSE US 2018 Interim Survival Analysis Across 3 Platforms Venita DePuy source
presentation source		 22
PHUSE US 2018 Making PK Analysis Easier: The New ADaM Data Standard ADNCA Peter Schaefer source
presentation source		 6
PHUSE US 2018 Methods for Handling Concentration Values Below the Limit of Quantification in PK Studies James R. Johnson source
presentation source		 9
PHUSE US 2018 Missing Data Imputation and Its Effect on the Accuracy of Classification Edwin Ponraj Thangarajan,
Giri Balasubramanian		 source
presentation source		 15
PHUSE US 2018 Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation Qais Hatim,
Emily McRae		 source
presentation source		 24
PHUSE US 2018 Planning and Executing a Two-Stage Adaptive Design with Interim Analysis [poster] Katy Jaffee source 1
PHUSE US 2018 Practical Solutions when Analyzing Incomplete Disposition Data Srinivas Veeragoni,
Juergen Lembcke,
David Wei		 source
presentation source		 8
PHUSE US 2018 Ready Set Go: Planning and Preparing a CDISC Submission Maria Dalton source
presentation source		 11
PHUSE US 2018 Registry/Observational Studies: Study Designs Data Sources and Key Steps in Designing Such Studies Anupama Sheoran source
presentation source		 6
PHUSE US 2018 Row Row Row of Zeroes: Their Significance in Summary Tables and Subgroup Analyses Sridhar Vijendra,
Sumanth Horabail		 source
presentation source		 6
PHUSE US 2018 Secure Data Office: An Independent Team that Can Come to the Rescue in Blinded Trials Annelies Van Zeveren,
Yana Hoorne		 source
presentation source		 9
PHUSE US 2018 Using a Waiver Process as a Change-Control Tool from ADaM Standards Governance Karin LaPann source
presentation source		 6
PharmaSUG 2018 A CRO's perspective on successful partnering to deliver SDTM/SEND contributions Helen Owen,
Kirsty Payne		 source 7
PharmaSUG 2018 A Linux shell script to automatically compare results of statistical analyses Chen Wang,
Shu Zan,
Joshua Conrad		 source 9
PharmaSUG 2018 A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening William Coar source 8
PharmaSUG 2018 A SAS@ Macro Application on Confidence Intervals for Binominal Proportion Kaijun Zhang,
Sheng Zhang		 source 13
PharmaSUG 2018 Accredited, Bona fide, Certified, Diploma'ed, and Edumacated: The ABCDEs of Automating the Validation and Monitoring of Professional Requirements for Employees and Job Candidates Through Dynamic, Data-Driven SAS Reporting Troy Martin Hughes source 20
PharmaSUG 2018 ADaM Define.xml v2.0 Validation - The Perl Way in SAS Yuxin (Ellen) Jiang source 8
PharmaSUG 2018 ADaM Structures for Integration: A Preview Deborah J. Bauer,
Kimberly Minkalis,
Wayne Zhong		 source 14
PharmaSUG 2018 An Automated Macro to Compare Data Transfers Michael Stackhouse,
Franklin E. Menius		 source 12
PharmaSUG 2018 An Investigation of Distribution Distance Measures Charity del Sol,
James E. Blum		 source 12
PharmaSUG 2018 Analyzing Adverse Events of Special Interest using Lab Tests and Toxicity Grades Vamsi Krishna Medarametla,
Liz Thomas,
Gokul Vasist		 source 6
PharmaSUG 2018 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 source 35
PharmaSUG 2018 Be a "Gyro", Turn your SAS Report into a Sandwich Michael Stout source 6
PharmaSUG 2018 Building Simulated CRF Data for Study Mock-Ups Ashley Kesler,
Hisham Madi,
Jonathan W. Duggins,
James E. Blum		 source 10
PharmaSUG 2018 Challenges & Strategies in PKPD Programming Jing Su,
Jiannan Kang		 source 6
PharmaSUG 2018 Coming soon: ADNCA and the PK submission Luke Reinbolt,
Liz MacDonald		 source 6
PharmaSUG 2018 Complexity in collection of PGx data and challenges in mapping to SDTM Rama Kudaravalli source 9
PharmaSUG 2018 Customized Project Tracking with SAS and Jira Nancy Brucken source 8
PharmaSUG 2018 Data Standards for Population Pharmacokinetic (POPPK) and Non-Compartmental Analysis (NCA) Neelima Thanneer source 7
PharmaSUG 2018 Dosing In NONMEM Datasets an Enigma Sree Harsha Sreerama Reddy,
Vishak Subramoney		 source 11
PharmaSUG 2018 Family of PARAM***: PARAM, PARAMCD, PARAMN, PARCATy(N), PARAMTYPE Kamleshkumar Patel source 12
PharmaSUG 2018 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 23
PharmaSUG 2018 Global checklist to QC SDTM Lab data Murali Marneni,
Sekhar Badam		 source 10
PharmaSUG 2018 Hiring the best SAS programmer among today's high competitive market Jian Hua (Daniel) Huang,
Li Joy Wang,
Mary Evanchick		 source 4
PharmaSUG 2018 Implementation of ADaM Basic Data Structure on Genetic Variation Data for Pharmacogenomics Studies Linghui Zhang source 10
PharmaSUG 2018 Implementation of Data Cut Off in Analysis of Clinical Trials Mei Dey source 15
PharmaSUG 2018 Improved Transparency in Key Operational Decisions in Real World Evidence Rebecca Levin,
Irene Cosmatos		 source 11
PharmaSUG 2018 Instant Gratification: Calculating Resource Needs Based on Operational Data using an Interactive Tool Melissa Hill,
Baker Bill		 source 9
PharmaSUG 2018 Let's Get FREQy with our Statistics: Data-Driven Approach to Determining Appropriate Test Statistic Lynn Mullins,
Richann J. Watson		 source 14
PharmaSUG 2018 Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies Kelci J. Miclaus,
Lili Li		 source 12
PharmaSUG 2018 Machine Learning - Why we should know and How it works Kevin Lee source 8
PharmaSUG 2018 Managing Table Preparation and Related Coding Task in Multilingual Settings by Using SAS Unicode Version Kai Koo source 6
PharmaSUG 2018 Manipulating Statistical and Other Procedure Output to Get the Results That You Need Vincent DelGobbo source 37
PharmaSUG 2018 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 13
PharmaSUG 2018 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 26
PharmaSUG 2018 PK Data Explained Timothy J. Harrington source 9
PharmaSUG 2018 Preventing premature unblinding in PK/PD related studies Debbie Sisco,
Alice Zong		 source 11
PharmaSUG 2018 Programming Support for Anti-Drug Antibody Pharmacokinetics in Therapeutic Protein Drug Development Linghui Zhang,
Jiannan Kang		 source 11
PharmaSUG 2018 Review programs used for submission and their input to the define-XML 2.0 Ari Siggaard Knoph,
Morten Hasselstrm Jensen,
Bo Sølgaard Andersen		 source 11
PharmaSUG 2018 SAS Macros of Performing Look-Ahead and Look-Back Reads Yanhong Liu source 10
PharmaSUG 2018 Speed Up SDTM/ADaM Dataset Development with If-Less Programming Lei Zhang,
John Lu		 source 17
PharmaSUG 2018 Statistical Analysis and Visualization of Microbiome data in Clinical Trials Athira Sudhakaran,
Limna Salim		 source 8
PharmaSUG 2018 Statistician in my Soul. Statistical Questions from SPA Nadiia Hryhorenko source 12
PharmaSUG 2018 Triangulating Multiple Sources of Contradictory Prescription Data - a Real-World Case Study Vidhya Parameswaran source 13
PharmaSUG 2018 Useful Adverse Events (AE) data Diagnostics and Summarization Abhinav Srivastva source 6
PharmaSUG 2018 User-defined Functions for Processing Lab Data Richard R. Allen source 13
PharmaSUG 2018 Using Simulation to Create Enrollment Plans Jim Box source 7
PharmaSUG 2018 Visually Exploring Odds Ratios between Risk Factors for Fetal and Infant Mortality in Kent County, MI Ruth Kurtycz source 11
PharmaSUG 2018 When a Clinical Trial Lasts Forever: A Reporting Solution for Post-Market Surveillance of Cardiac Rhythm Devices Becky DeBus source 8
SGF 2018 A Case Study of Mining Social Media Data for Disaster Relief: Hurricane Irma Bogdan Gadidov,
Linh H. Le		 source 11
SGF 2018 A Cautionary Tale of Using Machine Learning within Credit Risk in the Utilities Industry Spiros Potamitis,
Paul Malley		 source 8
SGF 2018 A Fraud Management Solution for Middle Market Banks and Ways to Reduce False Positives Gourish Hosangady source 6
SGF 2018 A Macro That Creates U.S. Census Tracts Keyhole Markup Language Files for Google Map Use Ting Sa source 10
SGF 2018 A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening Bill Coar source 9
SGF 2018 A Programming Approach to Implementing SAS Metadata-Bound Libraries for SAS Data Set Encryption Deepali Rai source 15
SGF 2018 Accessibility and ODS Graphics: Seven Simple Steps to Section 508 Compliance Using SAS 9.4M5 Ed Summers,
Julianna Langston,
Dan Heath		 source 13
SGF 2018 Advanced Programming Techniques Using the DS2 Procedure Viraj R Kumbhakarna source 20
SGF 2018 Analytics Applications in Targeted Marketing and Forecasting Demand: A Two-Stage Model Anurag Hardikar source 7
SGF 2018 Analytics Like a Pro: The Differences between My Fantasy Team and Production Analytics in Sports [presentation] Timothy Trussell source 21
SGF 2018 Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification Jessica Rudd source 10
SGF 2018 Automating Code Generation to Reduce Errors and Effort Steve Cavill source 15
SGF 2018 Bayesian Concepts: An Introduction John Amrhein,
Fei Wang		 source 10
SGF 2018 BI Centralization: The Benefits of Implementing a Report Encyclopedia for Your Organization John Mattox source 13
SGF 2018 Bitcoin Price Forecasting Using Web Search and Social Media Data Travis Miller source 22
SGF 2018 Bricolage: My Autobiography, with SAS Procedures AnnMaria De Mars source 13
SGF 2018 Bridging the Skills Gap between Post-Secondary Education Outcomes and Employment Opportunities Hong-Yu Xavier Fu,
Allan Esser		 source 7
SGF 2018 Business Customer Value Segmentation for Strategic Targeting in the Utilities Industry Using SAS Paul Malley,
Spiros Potamitis		 source 9
SGF 2018 Catch at the Speed of Light: Analytics on Live-Streaming Data Using SAS Event Stream Processing Murali Krishna Pagolu source 12
SGF 2018 Causal Mediation Analysis with the CAUSALMED Procedure Michael Lamm source 20
SGF 2018 Certified Smart: Steps to Becoming SAS Certified Mark Craver source 10
SGF 2018 Change is Good, or at Least Expected: Techniques for Visualizing Categorical Values Over Time Lisa Ann Horwitz source 14
SGF 2018 Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest Yuriy Chechulin source 15
SGF 2018 Code Like It Matters: Writing Code That's Readable and Shareable Paul Kaefer source 12
SGF 2018 Compute Service: A RESTful Approach to the SAS Programming Environment Joseph Henry,
Jason Spruill		 source 20
SGF 2018 Confirmatory Factor Analysis in SAS : Application to Public Administration Niloofar Ramezani source 13
SGF 2018 Creating a Successful Data Science Program: A Joint Academic and Industry Perspective Krzysztof Dzieciolowski source 6
SGF 2018 Credit Score: A Comparison of Gradient Boosting with Logistic Regression in Practical Cases Paulo Di Cellio Dias,
Marc Witarsa		 source 25
SGF 2018 Demystify Income Models with Advanced Machine Learning Techniques for Ultimate Accuracy Vickey Chang source 18
SGF 2018 Economic Capital Modeling with SAS Econometrics Mahesh V. Joshi source 19
SGF 2018 Estimation of Correlation Coefficient in Data with Repeated Measures Katherine Irimata,
Paul Wakim,
Xiaobai Li		 source 19
SGF 2018 Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes Joseph C. Gardiner source 21
SGF 2018 Evaluation of Different Approaches to Reject Inference: a case study in Credit Risk Sergiu Luca source 9
SGF 2018 Exploring Web Services with SAS Richard Carey source 19
SGF 2018 Extending the Capability of SAS Forecast Studio to Enable Custom Exception Handling Divya Guru Rajan source 7
SGF 2018 Factors versus Clusters Diana D. Suhr source 16
SGF 2018 Flight 3411 and Its Aftermath: A Burlesque Analysis via Tweets Vinoth Kumar Raja,
Padmashri Janarthanam		 source 22
SGF 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SGF 2018 Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures Gerhard Svolba source 26
SGF 2018 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SGF 2018 Getting Started with Time Series Models [presentation] Danny R. Modlin source 15
SGF 2018 How Good is That Forecast? The Nuances of Prediction Evaluation Across Time Aric LaBarr source 7
SGF 2018 How to Build a Recommendation Engine Using SAS Viya Jared Dean source 15
SGF 2018 Improved Campaigning at Africa's Largest Pay TV Service Provider with SAS Marketing Optimization Jean De Villiers source 16
SGF 2018 Improving Scheduling and Strategic Planning at J. P. Morgan Chase's Card Production Center Jay P. Carini source 12
SGF 2018 Insights from a SAS Technical Support Guy: A Deep Dive into the SAS ODS Excel Destination Chevell T. Parker source 24
SGF 2018 Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects Kathleen Kiernan source 23
SGF 2018 Integrating SAS and Data Vault Patrick Cuba source 19
SGF 2018 Interpreting Black-Box Machine Learning Models Using Partial Dependence and Individual Conditional Expectation Plots Ray Wright source 19
SGF 2018 Invoiced: Using SAS Text Analytics to Calculate Final Weighted Average Price Alexandre Carvalho source 16
SGF 2018 Key-Independent Uniform Segmentation of Arbitrary Input Using a Hash Function Paul M. Dorfman,
Donald J. Henderson		 source 18
SGF 2018 Looking Beyond the Model with SAS Simulation Studio: Data Input, Collection, and Analysis Edward P. Hughes,
Emily Lada		 source 20
SGF 2018 Make SAS Enterprise Miner Play Nicely with SAS Viya Beth Ebersole source 31
SGF 2018 Manipulating Statistical and Other Procedure Output to Get the Results That You Need Vincent DelGobbo source 37
SGF 2018 Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS Kyle Biron source 20
SGF 2018 Model Selection Using Information Criteria (Made Easy in SAS ) Wendy Christensen source 12
SGF 2018 Monte Carlo K-Means Clustering [presentation] Donald Wedding source 227
SGF 2018 My Experiences in Adopting SAS Cloud Analytic Services into Base SAS Processes Steven Sober source 17
SGF 2018 Non-metadata Methods to Keep Passwords and Sensitive Strings out of SAS Source Code and Logs Thomas E. Billings source 21
SGF 2018 Penalized Variable Selection and Quantile Regression in SAS : An Overview Russell M. Lavery source 28
SGF 2018 Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER John M. Castelloe source 17
SGF 2018 Prediction and Interpretation for Machine Learning Regression Methods David Richard Cutler source 16
SGF 2018 PROC SORT (then and) NOW Derek P. Morgan source 10
SGF 2018 Regime-Switching Models: Capturing Structural Changes in Time Series Xilong Chen,
Ji Shen		 source 14
SGF 2018 Remodeling Your Office: A New Look for the SAS Add-In for Microsoft Office Tim Beese source 9
SGF 2018 restAF: A JavaScript Library for Rapidly Developing SAS Viya Applications Based on SAS REST APIs Deva Kumar source 19
SGF 2018 Retail Product Bundling: A New Approach Bruno Nogueira source 18
SGF 2018 Risk Pathways: Using Machine Learning Techniques of SAS Viya to Understand Customer Risk Drivers Leigh Ann Herhold source 14
SGF 2018 Robust Tuning for Machine Learning Alex Glushkovsky source 22
SGF 2018 Role of Preventive Care and Lifestyle Changes in Chronic Diseases Asish Satpathy,
Satyajit Behari		 source 13
SGF 2018 SAS Fraud Framework and MCMC in Government Estimation of Improper Payments of Social Benefits Rodrigo Hildebrand,
Aloisio Dourado Neto		 source 10
SGF 2018 SAS Macros for Computing Causal Mediated Effects in Two- and Three-Wave Longitudinal Models David P. MacKinnon,
Matthew Valente		 source 18
SGF 2018 SAS Viya : The Beauty of REST in Action Sean Ankenbruck,
Grace Heyne Lybrand		 source 7
SGF 2018 Supercharge Your Dashboards with Infographic Concepts Using SAS Visual Analytics Travis Murphy,
Falko Schulz		 source 29
SGF 2018 Supercharging Data Subsets in SAS Viya 3.3 Brian Bowman source 20
SGF 2018 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
SGF 2018 The Cox Hazard Model for Claims Data Tanya Kolosova source 16
SGF 2018 The Ensemble of Neural Network and Gradient Boosting for the Prediction of Customer Profitability Sunny Lam source 15
SGF 2018 The Function Selection Procedure Bruce S. Lund source 11
SGF 2018 Tips and Techniques for Using the Random-Number Generators in SAS Rick Wicklin,
Warren Sarle		 source 14
SGF 2018 Top 10 Tips for SAS Enterprise Miner Based on 20 Years' Experience Melodie Rush source 21
SGF 2018 Using SAS for Multiple Imputation and Analysis of Longitudinal Data Patricia A. Berglund source 24
SGF 2018 Using SAS Visual Investigator to Enforce Model Tuning Best Practices in a Regulatory Environment Scott Wood source 15
SGF 2018 Using the IML Procedure to Examine the Efficacy of a New Control Charting Technique Austin R. Brown source 8
SGF 2018 What's New in SAS Data Connectors for SAS Viya Salman Maher,
Chris DeHart		 source 25
SGF 2018 Wow! You Did That Map With SAS?! Round II Louise S. Hadden source 30
SGF 2018 Your Data Visualization Game Is Strong Take It to Level 8.2 Brandon Kirk,
Jason Shoffner		 source 10
SESUG 2017 A macro of building predictive model in PROC LOGISTIC with AIC-optimal variable selection embedded in cross-validation Hongmei Yang source 7
SESUG 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson source 35
SESUG 2017 Beyond the Standard Map Alternate Methods for Visualizing Location Data Seth W. Hoffman source 10
SESUG 2017 Binning of Predictors for the Cumulative Logit Model Bruce S. Lund source 20
SESUG 2017 Building an Out-of-Pocket Cost (OOPC) Calculator for Medical Expenses using the Medical Expenditure Panel Survey (MEPS) Barry Merriman source 5
SESUG 2017 Churn the Data Around - A Machine Learning Approach to Understanding Why Customers Leave Sean Ankenbruck source 9
SESUG 2017 Detecting Outlying Data in Proficiency Studies with SAS Stacey Slone source 11
SESUG 2017 Format-o-matic: Using Formats To Merge Data From Multiple Sources Marcus Maher,
Ipsos Public		 source 10
SESUG 2017 From FREQing Slow to FREQing Fast: Facilitating a Four-Times-Faster FREQ with Divide-and-Conquer Parallel Processing Troy Martin Hughes source 22
SESUG 2017 I Spy PII: Detect, Protect, and Monitor Personal Data with SAS Data Management Cecily Hoffritz source 33
SESUG 2017 Meta-Analysis and Matrix Multiplication: Adapting an IML-Based Macro for DerSimonian and Laird's Error Calculation to use Base SAS Venita DePuy source 16
SESUG 2017 Missing Data and Complex Sample Surveys Using SAS: The Impact of Listwise Deletion vs. Multiple Imputation Methods on Point and Interval Estimates when Data are MCAR, MAR, and MNAR Listwise Deletion source 26
SESUG 2017 MOPP the SOP - Makeover of Programming Process Steps in the Standard Operating Procedure Kristin Danna,
Kathy Harkins,
Lisa Spring		 source 5
SESUG 2017 Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? Deanna Naomi Schreiber-Gregory,
Henry M. Jackson		 source 12
SESUG 2017 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 25
SESUG 2017 Quality Control in SAS: Checking Input, Work, and Output Aaron Brown source 11
SESUG 2017 Removing the Mask of Average Treatment Effects in Chronic Lyme Disease Research Using Big Data and Sub-Group Analysis Mira Shapiro,
Lorraine Johnson		 source 9
SESUG 2017 SAS In The Classroom: Exploratory Data Analysis with SAS Studio Jonathan W. Duggins source 20
SESUG 2017 SAS Visual Analytics Tricks We Learned from Reading Hundreds of SAS Community Posts Reading Hundreds source 19
SESUG 2017 Statistical Analyses of Public Health Surveys Using SAS Survey Package Trung Ha,
Julia Soulakova		 source 6
SESUG 2017 Tips and Tricks for Raking Survey Data with Advanced Weight Trimming Michael P. Battaglia source 12
SESUG 2017 Tornado Inflicted Damages Pattern Vasudev Sharma source 11
SESUG 2017 Two Sample Parametric and Nonparametric Statistical Tests for a Large Number of Comparisons Made Easy Dennis J. Beal,
Oak Ridge		 source 7
SESUG 2017 UCF Visual Analytics - Dataset Development for the Undergraduate Attrition Study Scott A. Milbuta,
Michelle Parente		 source 8
SESUG 2017 Using SAS to Employ Propensity Score Matching in an Institutional Research Office to Create Matched Groups for Outcomes Analyses Bobbie E. Frye,
James E. Bartlett		 source 19
SESUG 2017 Working in SGPLOT: Understanding the General Logic of Attributes James E. Blum source 12
SCSUG 2017 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler source 16
SCSUG 2017 Predictive Analysis for Classifying Type 2 Diabetes Patients Using SAS Enterprise Miner 14.1 and SAS Enterprise Guide 7.1 Saurabh Sanjayrao Kokad source 10
SCSUG 2017 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SCSUG 2017 SAS Grid Job Search Performance Piyush K. Singh,
Prasoon Sangwan,
Ghiyasuddin Mohammed Faraz Khan		 source 7
SCSUG 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
SCSUG 2017 Use Machine Learning to Discover Your Rules David R. Duling source 10
PHUSE EU 2017 A Real-Life Experience on the Challenge Called Genetics Sigrid Fouchier source
presentation source		 9
PHUSE EU 2017 Define.xml Tools Supporting SEND/SDTM Data Process Kirsten Langendorf source
presentation source		 14
PHUSE EU 2017 EMA Policy 0070: Data Utility in Anonymized Clinical Study Reports (CSRs) Jean-Marc Ferran,
Sarah Nevitt		 source 23
PHUSE EU 2017 Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS Yirong Cao,
Siory Traoré		 source
presentation source		 11
PHUSE EU 2017 How to Fit Longitudinal Data with Proc MCMC Maud Henion source
presentation source		 16
PHUSE EU 2017 Power Calculation in a Multi-Stage Design, Following the Main Endpoint, A Binomial DIstribution Antonio Nieto,
Javier Gómez		 source
presentation source		 4
PHUSE EU 2017 Programming Solutions when Developing a Database Compare Macro Michael S Rimler source
presentation source		 8
PHUSE EU 2017 SAS Performance Qualification for Clinical Programmers Tatiana Volodina,
Andrey Myslivets		 source
presentation source		 8
PHUSE EU 2017 Surviving your Statistician: A Programmer's Guide to Survival Analysis James Diserens source
presentation source		 11
PHUSE EU 2017 The Model Statistician Insights into Model Selection Techniques in Clinical Trials Peter Williams source
presentation source		 6
PHUSE EU 2017 The Secure Data Office Concept Annemie Van Dijck source
presentation source		 9
PHUSE EU 2017 Topology-based Clinical Data Mining: Identifying Hidden Patterns in Clinical Datasets Sergey Glushakov source
presentation source		 18
PHUSE EU 2017 Use of Fast Healthcare Interoperability Resources (FHIR) in the Generation of Real-World Evidence Trisha Simpson,
Regina Zopf		 source
presentation source		 12
PHUSE EU 2017 Visualizing Multiple Endpoints: Extending the Use of Forest Plots in Clinical Trials James R. Johnson,
Mark Jaros		 source
presentation source		 10
MWSUG 2017 ADQRS: Basic Principles for Building Questionnaire, Rating and Scale Analysis Datasets Nancy Brucken,
Karin LaPann		 6
MWSUG 2017 AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification Hao Sun,
Kristen Cardinal,
Richard Voorman		 26
MWSUG 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 35
MWSUG 2017 Code Like It Matters: Writing Code That's Readable and Shareable Paul Kaefer 11
MWSUG 2017 Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students Brandy R. Sinco,
Michael Woodford,
Jun Sung Hong,
Jill Chonody		 22
MWSUG 2017 Demystifying Intervals Derek P. Morgan 15
MWSUG 2017 Exploring the Relationship Between Substance Abuse and Dependence Disorders and Discharge Status: Results and Implications Deanna Naomi Schreiber-Gregory 25
MWSUG 2017 Let's Get FREQy with our Statistics: Let SAS Determine the Appropriate Test Statistic Based on Your Data Lynn Mullins,
Richann J. Watson		 14
MWSUG 2017 Logistic Model Selection with SAS PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT Bruce S. Lund 18
MWSUG 2017 Multiple Imputation of Family Income Data in the 2015 Behavioral Risk Factor Surveillance System Jia Li,
Aaron Sussell		 4
MWSUG 2017 No News Is Good News: A Smart Way to Impute Missing Clinical Trial Lab Data Ming Yan 4
MWSUG 2017 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
MWSUG 2017 Patient Safety with SAS Visual Analytics Piyush K. Singh,
Prasoon Sangwan,
Ghiyasuddin Mohammed Faraz Khan		 12
MWSUG 2017 The Cox Hazard Model for Claims Data: Bayesian non-parametric approach Samuel Berestizhevsky,
Tanya Kolosova		 17
MWSUG 2017 Tornado Inflicted Damages Pattern Vasudev Sharma 11
MWSUG 2017 Untangle Customer's Incrementality using Uplift Modeling with a Case Study on Direct Marketing Campaign Hairong Gu,
Yi Cao,
Chao Xu		 8
WUSS 2017 2 Broken Axes in a Single Graph - That's Crazy Talk - How to Use PROC TEMPLATE, SGRENDER, and SGANNO To Make Your Graphs Look Awesome Steven C. Black source 12
WUSS 2017 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler source 16
WUSS 2017 A SAS Format Catalog for ICD-9/ICD-10 Diagnoses and Procedures: Data Research Example and Custom Reporting Example Robert Springborn source 37
WUSS 2017 An Easy Way to Split a SAS Data Set into Unique and Non-Unique Row Subsets Thomas E. Billings source 8
WUSS 2017 Analysis of Complex Survey Data with SAS Christine Wells source 6
WUSS 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 source 34
WUSS 2017 Creating Completely Automated Reports in SAS Using the ODS RTF Destination: Protect Your Results from Human Error Debra A. Goldman source 19
WUSS 2017 Examining Distributional Shifts by Using Population Stability Index (PSI) for Model Validation and Diagnosis Alec Zhixiao Lin source 7
WUSS 2017 Examining the Performance of a Control Chart for the Shifted Exponential Distribution using Penalized Maximum Likelihood Estimators: A Simulation Study using SAS Austin R. Brown,
Bryce Whitehead		 source 8
WUSS 2017 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 10
WUSS 2017 Multicollinearity: What Is It and What Can We Do About It? Deanna Naomi Schreiber-Gregory source 12
WUSS 2017 Nonlinear Modeling with Big Data in SAS and JMP Chong Ho,
Hyun Seo Lee,
Siyan Gan,
Emily Brown		 source 12
WUSS 2017 Open Source Platform Unveiled Karen Walker source 9
WUSS 2017 Pinching Off Your SAS Log: Shifting the Perception of "SAS Logs" from a Post Hoc Validation Used Haplessly and Often Too Late...to a Dynamic Quality Control That Drives Exception Handling and Program Flow Troy Martin Hughes source 26
WUSS 2017 Secure Macro-Based Method to Assign LIBNAMEs for Databases Thomas E. Billings source 19
WUSS 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
WUSS 2017 Variance Ratio Estimation Using the PRECMOD SAS Macro Jesse Albert Canchola,
Pari Hemyari		 source 12
WUSS 2017 Your Local Fire Engine Has an Apparatus Inventory Sheet and So Should Your Software: Automatically Generating Software Use and Reuse Libraries and Catalogs from Standardized SAS Code Troy Martin Hughes source 19
WUSS 2017 Zeroing In on Effective Member Communication: An Rx Education Study Brian Mitchell source 4
PharmaSUG CN 2017 Create Zero Observation dataset to achieve maximum metadata resolution in CDISC Submission M K Sinha 7
PharmaSUG CN 2017 One Step to Produce Shift Table by Using PROC REPORT Haiqiang Luo 7
PharmaSUG CN 2017 Overview of OSI Deliverables from Programming Perspective Wang Zhang 6
PharmaSUG 2017 A Business Solution for Improved Drug Supply Chain Visibility David Butler,
Joy King,
Ronald Chomiuk,
Richard Neafus		 source 9
PharmaSUG 2017 A Guide To Programming Patient Narratives Renuka Tammisetti,
Karthika Bhavadas		 source 6
PharmaSUG 2017 A Macro to carry values through observations forwards or backwards over missing or 'null' values within a BY group or a SAS data set. Timothy J. Harrington source 9
PharmaSUG 2017 A novel method to track mapping of all CRF variables into SDTM datasets. Aishhwaryapriya Elamathivadivambigai source 7
PharmaSUG 2017 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler source 16
PharmaSUG 2017 A Vivid and Efficient Way to Highlight Changes in SAS Dataset Comparison Jeff Xia,
Lugang Larry Xie,
Shunbing Zhao		 source 12
PharmaSUG 2017 ADaM Grouping: Groups, Categories, and Criteria. Which Way Should I Go? Jack Shostak source 12
PharmaSUG 2017 ADQRS: Basic Principles for Building Questionnaire, Rating and Scale Analysis Datasets Nancy Brucken,
Karin LaPann		 source 6
PharmaSUG 2017 AIR Binder: An Automatic Reporting and Data Analysis SAS Application for Cytochrome P450 Inhibition Assay to Investigate DDI Hao Sun,
Kristen Cardinal,
Carole Kirby,
Richard Voorman		 source 8
PharmaSUG 2017 Application of Deming Regression in Molecular Diagnostics using a SAS Macro Merlin Njoya,
Pari Hemyari		 source 6
PharmaSUG 2017 Automated Generation of Clinical Study Reports using SAS and RTF (Literate programming) Rajaram Venkatesan,
Julien Sauser,
Carlos Antonio De Castro		 source 13
PharmaSUG 2017 Building a Fast Track for CDISC: Practical Ways to Support Consistent, Fast and Efficient SDTM Delivery Steven R. Kirby,
Mario Widel,
Richard Addy		 source 14
PharmaSUG 2017 Charting Your Path to Using the "New" SAS ODS and SG Graphics Successfully - Interactively Generate the Code Roger D. Muller source 16
PharmaSUG 2017 Check Please: An Automated Approach to Log Checking Richann J. Watson source 12
PharmaSUG 2017 Check Your Data: Tools for Automating Data Assessment Paul Stutzman source 12
PharmaSUG 2017 Clinical and Vendor Database Harmony; Can-t we all just get along? Brian Armstrong,
Renee Kerwin		 source 9
PharmaSUG 2017 ClinicalTrials.gov Results: an End of Study Deliverable That Should Be Considered at Study Startup Maya Barton,
Elizabeth Paynter		 source 9
PharmaSUG 2017 Creating Define-XML version 2 including Analysis Results Metadata with the SAS Clinical Standards Toolkit Lex Jansen source 31
PharmaSUG 2017 Dealing with alignment of statistics: Beyond the decimal point. Eric Pedraza source 11
PharmaSUG 2017 Implementation of STDM Pharmacogenomics/Genetics Domains on Genetic Variation Data Linghui Zhang source 12
PharmaSUG 2017 Is There a Date In That Comment? Use SAS To Find Out. Keith Hibbetts source 4
PharmaSUG 2017 Make it personal: Upgrade your figures by adding individual patient data to the common figure types Yuliia Bahatska,
Christiane Ahlers		 source 20
PharmaSUG 2017 Multiple Imputation: A Statistical Programming Story Christopher J. Smith,
Scott Kosten		 source 16
PharmaSUG 2017 New for SAS 9.4: Including Text and Graphics in Your Microsoft Excel Workbooks, Part 2 Vincent DelGobbo source 26
PharmaSUG 2017 Overview and Application of the HCV Vertical Resistance Analysis Template Yan Xie source 5
PharmaSUG 2017 Put the "K" in Your KAB: Know How to Efficiently Program with Knowledge, Attitudes, and Behavior Survey Data Cara Lacson,
Jasmeen Hirachan		 source 16
PharmaSUG 2017 Real Time Clinical Trial Oversight with SAS Ashok Gunuganti source 7
PharmaSUG 2017 RELREC - SDTM Programmer-s Bermuda Triangle Charumathy Sreeraman source 12
PharmaSUG 2017 Removing the Mask of Average Treatment Effects in Chronic Lyme Disease Research Using Big Data and Sub-Group Analysis Mira Shapiro,
Lorraine Johnson		 source 9
PharmaSUG 2017 Same statistical method different results? Don-t panic the reason might be obvious. Iryna Kotenko source 8
PharmaSUG 2017 SAS Macro for Derivation of Best Overall Response per RECIST v. 1.1 Bob Zhong,
Jiangfan Li,
Hong Xie,
Peter De Porre,
Kenneth Maahs,
Kyounghwa Bae		 source 9
PharmaSUG 2017 Single File Deliverables: Next Steps Bill Coar source 19
PharmaSUG 2017 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
PharmaSUG 2017 The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros Jeffrey P. Meyers source 21
PharmaSUG 2017 The CDISC Trial Design Model (TDM), the EPOCH variable, and the Treatment Emergent Flag: How to Leverage these to Improve Review Thomas Guinter source 4
PharmaSUG 2017 Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data Sergey Glushakov,
Iryna Kotenko,
Andrey Rekalo		 source 20
PharmaSUG 2017 What Makes a Candidate Stand Out? Edward Slezinger source 3
SGF 2017 %SURVEYGENMOD Macro: An Alternative to Deal with Complex Survey Design for the GENMOD Procedure Alan Ricardo da Silva source 28
SGF 2017 A Macro that Can Search and Replace Strings in Your SAS Programs Ting Sa source
pdf		 7
SGF 2017 A Macro that Creates U.S State and County Keyhole Markup Language Files for Google Map Use Ting Sa source 10
SGF 2017 A Novel Approach to Calculating Medicare Hospital 30-Day Readmissions for the SAS Novice Karen E. Wallace source
pdf		 11
SGF 2017 A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression Sai Liu source
zip		 19
SGF 2017 Accessibility and SAS University Edition: Tips for Students and Professors Ed Summers,
Amy Peters		 source 7
SGF 2017 Advanced Hierarchical Modeling with the MCMC Procedure Fang K. Chen,
Maura E. Stokes		 source 21
SGF 2017 An Information Technology Perspective of SAS at The University of Memphis Robert Jackson source 8
SGF 2017 Analytics Using SAS Customer Intelligence: Multivariate Testing Processes for Digital Marketing Campaigns Thomas Lehman source 9
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 Analyzing Residuals in a PROC SURVEYLOGISTIC Model Bogdan Gadidov source 8
SGF 2017 Analyzing the Effect of Weather on Uber Ridership Anusha Mamillapalli,
Singdha Gutha		 source
pdf		 10
SGF 2017 Application of Survival Analysis for Predicting Customer Churn with Recency, Frequency, and Monetary Bo Zhang,
Liwei Wang		 source 6
SGF 2017 Automatically Create Diagrams Showing the Structure and Performance of Your SAS Code Philip A. Mason source 17
SGF 2017 Beyond Table Lookup: The Versatile SAS Hash Object Paul M. Dorfman,
Donald J. Henderson		 source 27
SGF 2017 Breaking through the Barriers: Innovative Sampling Techniques for Unstructured Data Analysis Murali Krishna Pagolu source 8
SGF 2017 Charting Your Path to Using the "New" SAS ODS and SG Graphics Successfully Roger D. Muller source
pdf		 16
SGF 2017 Check Please: An Automated Approach to Log Checking Richann J. Watson source 12
SGF 2017 Choose Carefully! An Assessment of Different Sample Designs on Estimates of Official Statistics Leesha Delatie-Budair,
Jessica Campbell		 source 14
SGF 2017 Cold-Start Solution to A/B Testing Using Adaptive Sample Size Modification Bo Zhang,
Liwei Wang		 source 9
SGF 2017 Complex Merging of Emergency Department and Hospitalization Data to Create a Longitudinal Data Set Charlotte Baker source 9
SGF 2017 Construction of a Disease Network and a Prediction Model for Dementia Jinwoo Cho source 14
SGF 2017 Continuous Predictors in Regression Analyses Ruth Croxford source 12
SGF 2017 Convergence of Big Data, the Cloud, and Analytics: A Docker Toolbox for the Data Scientist Donna De Capite source 11
SGF 2017 Data Visualization from SAS to Microsoft SharePoint Xiaogang Tang source 14
SGF 2017 Dataninjas: Modeling Life Insurance Risk David Allen,
Seung Lee		 source 7
SGF 2017 Developing a Predictive Model of Physician Attribution of Patient Satisfaction Surveys Ken Ferrell source 5
SGF 2017 Differentiate Effects from the Noise of Promotional Marketing Campaigns Alex Glushkovsky,
Matthew Fabian		 source 9
SGF 2017 Estimation Strategies Involving Pooled Survey Data Taylor Lewis source 15
SGF 2017 Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard		 source 15
SGF 2017 Exploring the Art and Science of SAS Text Analytics: Best Practices in Developing Rule-Based Models Murali Krishna Pagolu,
Cheyanne Baird,
Christina Engelhardt		 source 15
SGF 2017 Fast implementation of State Transition Models Shannon Clark source 4
SGF 2017 From Source to Target: Hadoop Capabilities of SAS Data Integration Studio Darryl Yewchin,
Todd Foreman		 source 18
SGF 2017 Fuzzy Matching and Predictive Models for Acquisition of New Customers Daniel Marinescu source 12
SGF 2017 Getting the Latest and Greatest from SAS 9.4: Best Practices for Upgrades and Migrations Jamie Williams source 13
SGF 2017 Help! My New Director of Analytics Wants to Get Rid of SAS! What Can I Do? Melodie Rush source 17
SGF 2017 I Spy PII: Detect, Protect, and Monitor Personally Identifiable Information with SAS Federation Server Cecily Hoffritz source 33
SGF 2017 Identifying Abnormal Equipment Behavior and Filtering Data near the Edge for IoT Applications Ryan Gillespie,
Saurabh Gupta		 source 5
SGF 2017 Interrupted Time Series Power Calculation using DO Loop Simulations Nigel Rozario,
Andrew McWilliams,
Charity Moore		 source 15
SGF 2017 Introduction to SAS Data Connectors and SAS Data Connect Accelerators on SAS Viya Salman Maher,
Chris DeHart,
Barbara Kemper		 source 17
SGF 2017 Location Analytics: Minority Report Is Here. Real-Time Geofencing Using SAS Event Stream Processing Frederic Combaneyre source 10
SGF 2017 Mind-Map the Gap: Sentiment Analysis of Public Transport Tamas Bosznay source 20
SGF 2017 Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers Sunny Lam source 20
SGF 2017 Multicollinearity: What Is It, Why Should We Care, and How Can It Be Controlled? Deanna Naomi Schreiber-Gregory source 12
SGF 2017 Multivariate Time Series: Recent Additions to the VARMAX Procedure Xilong Chen,
Stefanos Kechagias		 source
zip		 14
SGF 2017 N-Stage Machine Learning Analysis with the LUA Procedure Helps Solve Big Data Analysis Problems Ryo Kiguchi,
Eri Sakai,
Yoshitake Kitanishi,
Akio Tsuji		 source 8
SGF 2017 New for SAS 9.4: Including Text and Graphics in Your Microsoft Excel Workbooks, Part 2 Vincent DelGobbo source
zip		 26
SGF 2017 Nine Best Practices for Big Data Dashboards Using SAS Visual Analytics Elena Snavely source 7
SGF 2017 Not So Simple: Intervals You Can Have Confidence In with Real Survey Data David A. Vandenbroucke source 12
SGF 2017 Optimizing Anti-Money Laundering Transaction Monitoring Systems Using SAS Analytical Tools Stephen M. Overton,
Eric Hale,
Leigh Ann Herhold		 source 10
SGF 2017 Optimizing Delivery Routes with SAS Software Ben Murphy,
Bruce Bedford		 source 13
SGF 2017 Optimizing Your Optimizations by Maximizing the Financial and Business Impacts of SAS Marketing Optimization Scenarios Erin McCarthy source 14
SGF 2017 Outline Outliers: Adding a Business Sense Alex Glushkovsky source 17
SGF 2017 Patching the Holes in SQL Systems with SAS Chris Carson source 16
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SGF 2017 Predictive Models: Storing, Scoring, and Evaluating Matthew Duchnowski source 10
SGF 2017 PROC LOGISTIC: Using New SAS 9.4 Features for Cumulative Logit Models with Partial Proportional Odds Paul Hilliard source
zip
pdf		 16
SGF 2017 Production Forecasting in the Age of Big Data in the Oil and Gas Industry [presentation] Vipin Prakash Gupta,
Satyajit Dwivedi		 source 17
SGF 2017 Programming Weakly Informative Prior Distributions in SAS [presentation] Robert Lew,
Hongsheng Wu,
Chen-Hsiang Yu		 source 9
SGF 2017 Random Forests with Approximate Bayesian Model Averaging Tiny Du Toit,
Andre De Waal		 source 11
SGF 2017 Retracing My SAS Global Forum 2016 Steps: Visualizing iPhone Health App Step Data With a (What Else?) Step Plot Ted Conway source
pdf		 8
SGF 2017 Revenue Score: Forecasting Credit Card Products with Zero Inflated Beta Regression and Gradient Boosting Marc Witarsa,
Paulo Di Cellio Dias		 source 20
SGF 2017 SAS and UTF-8: Ultimately the Finest. Your Data and Applications Will Thank You! Elizabeth Bales,
Wei Zheng		 source 18
SGF 2017 SAS Macros for Binning Predictors with a Binary Target Bruce S. Lund source 13
SGF 2017 SAS Macros for Computing the Mediated Effect in the Pretest-Posttest Control Group Design David P. MacKinnon source 10
SGF 2017 SAS Visual Analytics Tricks We Learned from Reading Hundreds of SAS Community Posts Patricia S. Aanderud,
Ryan Kumpfmiller		 source 19
SGF 2017 Show Off Your OAuth Joseph Henry source 8
SGF 2017 Stress Testing and Supplanting the LOCK Statement: Using Mutex Semaphores for Reliable File Locking Troy Martin Hughes source 28
SGF 2017 Tables and Graphics That Will FREQ You Out Kathryn McLawhorn source 21
SGF 2017 Telling the Story of Your Process with Graphical Enhancements of Control Charts Bucky Ransdell source 13
SGF 2017 The Development and Application of a Composite Score for Social Determinants of Health Paul A. LaBrec,
Ryan C. Butterfield		 source 16
SGF 2017 The ODS EXCEL statement: Tips and Tricks for the TABULATE and REPORT Procedures Richard A. DeVenezia source 17
SGF 2017 The Three Amigos Factors: Determining Term Deposit Purchases: How a Bank Can Get Other People's Money Gina Colaianni,
Bogdan Gadidov,
Matthew Mitchell		 source 59
SGF 2017 The Truth Is Out There: Leveraging Census Data Using PROC SURVEYLOGISTIC Richard Dirmyer source 5
SGF 2017 Time Series Analysis and Forecasting in SAS University Edition Christopher Battiston source 10
SGF 2017 Use Machine Learning to Discover Your Rules David R. Duling source 10
SGF 2017 Using PROC SEVERITY to Evaluate Quantile Approximation Techniques for Compound Distributions Helgard Raubenheimer,
Riaan de Jongh		 source 11
SGF 2017 Using Python with SAS Cloud Analytic Services Kevin D. Smith,
Xiangxiang Meng		 source 23
SGF 2017 Using SAS to Analyze Emergency Department Visits: Medicaid Patients Compared to Other Pay Sources Bradley Casselman,
Taylor K. Larkin,
Denise J. McManus		 source 16
SGF 2017 Using SAS to Estimate Rates of Disease from Nationally Representative Databases Jessica Rudd source
pdf		 10
SGF 2017 Using the LOGISTIC or SURVEYLOGISTIC Procedure and Weighting of Public-Use Data in the Classroom Tyler C. Smith,
Besa Smith		 source 9
SGF 2017 Using the OPTGRAPH Procedure: Transformation of Transactional Data into Graph for Cluster Analysis Linh H. Le,
Jennifer Priestley		 source 12
SGF 2017 Using the Power of SAS from JMP Philip A. Mason source
zip		 14
SGF 2017 What Statisticians Should Know about Machine Learning David Richard Cutler source 13
SGF 2017 Yet Another Lookup Method: Updatable Indexed Data Sets Jack Hamilton source 15
SGF 2017 Zeroing In on Effective Member Communication: An Rx Education Study Brian Mitchell source 4
SCSUG 2016 %EventChart: A Macro to Visualize Data with Multiple Timed Events Andrew Peng source 6
SCSUG 2016 Analyzing sentiments in tweets for Tesla Model 3 Praneth Guggilla,
Tejaswi Jha,
Goutam Chakraborty		 source 12
SCSUG 2016 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski source 15
SCSUG 2016 Proc SQL Self-Join for Aggregation Steve Fleming source 6
SCSUG 2016 Ten Tips for Simulating Data with SAS Rick Wicklin source 15
SESUG 2016 A Macro for Calculating Kendall's Tau-b Correlation on Left Censored Environmental Data Dennis J. Beal,
Oak Ridge		 source 13
SESUG 2016 A Waze App for Base SAS: Automatically Routing Around Locked Data Sets, Bottleneck Processes, and Other Traffic Congestion on the Data Superhighway Troy Martin Hughes source 16
SESUG 2016 Applying SAS to Explore the Utilization and Impact of Sensitive Clinical Indicators on a Heart Failure Unit Jametta S. Magwood-Golston,
Abbas S. Tavakoli		 source 7
SESUG 2016 Color Speaks Louder than Words Color Speaks Louder source 10
SESUG 2016 Divide and Conquer - Writing Parallel SAS Code to Speed Up Your SAS Program Doug Haigh source 11
SESUG 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Kennedy Onzere,
Cheryl Joneckis,
Xuelei (Sherry) Ni		 source 62
SESUG 2016 Finding the Area of a Polygon... On a Sphere! Seth W. Hoffman source 6
SESUG 2016 Fundamentals of the The SAS Hash Object Paul M. Dorfman source 23
SESUG 2016 How is Healthcare Cost Data Distributed? Using Proc Univariate to Draw Conclusions about Millions of Different Customers Aran Canes source 8
SESUG 2016 In the Pursuit of Balanced Groups: A SAS Macro for an Adaptive Randomization Test Tyler Hicks,
Jeffrey D. Kromrey		 source 9
SESUG 2016 Introduction to Data Simulation Jason Brinkley source 8
SESUG 2016 LS-120: A Novel Approach to Calculating Medicare Hospital 30-Day Readmissions for the SAS Novice Karen E. Wallace source 12
SESUG 2016 Making Sense of PROC TABULATE Jonas V. Bilenas source 14
SESUG 2016 Missing Data and Complex Sample Surveys Using SAS: The Impact of Listwise Deletion vs. Multiple Imputation on Point and Interval Estimates when Data are MCAR and MAR Anh P. Kellermann,
DeAnn Trevathan,
Jeffrey D. Kromrey		 source 12
SESUG 2016 Mixture Priors 101: Using SAS to Obtain Powerful Frequentist Inferences with Bayesian Methods Tyler Hicks,
Jeffrey D. Kromrey		 source 8
SESUG 2016 Multiple Studies! DataDefinitionTracker, Made Easy! Saritha Bathi source 8
SESUG 2016 New for SAS 9.4: A Technique for Including Text and Graphics in Your Microsoft Excel Workbooks, Part 1 Microsoft Excel Workbooks source 23
SESUG 2016 Privacy Protection Using Base SAS: Purging Sensitive Information from Free Text Emergency Room Data Michelle White,
Thomas Schroeder,
Li-Hui Chen,
Jean Mah		 source 7
SESUG 2016 Sample Size Estimation with PROC FREQ and PROC POWER Adeline J. Wilcox source 12
SESUG 2016 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
SESUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
SESUG 2016 Stress Testing and Supplanting the SAS LOCK Statement: Implementing Mutex Semaphores To Provide Reliable File Locking in Multiuser Environments To Enable and Synchronize Parallel Processing Troy Martin Hughes source 27
SESUG 2016 Surviving the Interim: Insights Into Interim Survival Analyses Venita DePuy source 31
SESUG 2016 Tips for Pulling Data from Oracle Using PROC SQL Pass-Through John J. Cohen source 10
SESUG 2016 Universal File Flattener David A. Vandenbroucke source 12
SESUG 2016 Using CALL VNAME to Populate Missing Data from a Default Values Lookup Dataset Raghav Adimulam source 6
SESUG 2016 Using JMP to apply Decision Trees and Random Forests as Screening Tools for Limiting Candidate Predictors in Regression Models Jason Brinkley source 10
SESUG 2016 Using PROC FCMP for Short Test Assembly Tsung-Hsun Tsai source 11
SESUG 2016 Using SAS to Examine Relationships among Leadership Styles of College of Nursing Deans and Faculty Job Satisfaction Levels in Research Intensive Institutions Nursing Deans,
Faculty Job Satisfaction Levels		 source 6
SESUG 2016 Using SAS to Examine the relationship between primary caregivers' Adverse Childhood Experiences (ACE) and Child Abuse Allegations Abbas S. Tavakoli,
Kate K. Chappell,
Senna Dejardins		 source 9
SESUG 2016 Using SAS to Get a List of File Names and Other Information from a Directory in Microsoft Windows Imelda C. Go 14
SESUG 2016 Using SAS/QC to Design Optimal Experimental Designs in Consumer Lending Jonas V. Bilenas source 12
SESUG 2016 Your Local Fire Engine Has an Apparatus Inventory Sheet and So Should Your Software: Automatically Generating Software Use and Reuse Libraries and Catalogs from Standardized SAS Code Troy Martin Hughes source 19
SESUG 2016 Your Own SAS Macros Are as Powerful as You Are Ingenious Yinghua Shi source 9
PHUSE EU 2016 Considerations in the Use of Propensity Scoresin Observational Studies Lawrence Rasouliyan,
Estel Plana		 source
presentation source		 17
PHUSE EU 2016 Constructing Interoperable Study Documents From A Semantic Technology-based Repository Colin de Klerk source
presentation source		 12
PHUSE EU 2016 Device Domains: Examples of their Use in Clinical Trials Oksana Voevutska source
presentation source		 12
PHUSE EU 2016 Grading Lab Toxicities using NCI Common Terminology Criteria for Adverse Events (CTCAE) Srinivas Veeragoni,
Ankur Mathur		 source
presentation source		 10
PHUSE EU 2016 How Macro Design and Program Structure Impact GPP (Good Programming Practice) in TFL Coding Galyna Repetatska source
presentation source		 8
PHUSE EU 2016 Multiplicity Issues in Clinical Trials - Look at it with a Magnifying Glass! Madhusudhan Bandi source
presentation source		 6
PHUSE EU 2016 Probability Plots as an Instrument for Comparing Distributions Holger Langkabel source
presentation source		 9
PHUSE EU 2016 Programmed Patient Narratives Using SAS Prafulla Girase,
Daniel J. Boisvert		 source
presentation source		 7
PHUSE EU 2016 Reducing Build Time of Integrated Clinical Databases with SAS Grid and SAS/OR Eric C. Brinsfield source
presentation source		 11
PHUSE EU 2016 Standard Methods for Analysis and Reporting of VAS or NRS Derived Pain Relief Response Scores James R. Johnson source
presentation source		 14
PHUSE EU 2016 The Data Detective: Hints and Tips for Independent Programming QC Bethan Thomas source 11
PHUSE EU 2016 Use of Fast Healthcare Interoperability Resources (FHIR) in the Generation of Real World Evidence (RWE) Regina Zopf,
Jeffrey M. Abolafia,
Bhargava Reddy		 source
presentation source		 12
MWSUG 2016 A DDE Macro to Put Data Anywhere in Excel Ting Sa,
Shiran Chen		 5
MWSUG 2016 A Macro that can Search and Replace String in your SAS Programs Ting Sa 7
MWSUG 2016 An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression Russell M. Lavery,
Peter Flom		 24
MWSUG 2016 Analyzing sentiments in tweets for Tesla Model 3 using SAS Enterprise Miner and SAS Sentiment Analysis Studio Tejaswi Jha,
Praneth Guggilla		 12
MWSUG 2016 Analyzing the Effect of Weather on Uber Ridership Snigdha Gutha,
Anusha Mamillapalli		 11
MWSUG 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen,
Gordon Brown,
Maura E. Stokes		 27
MWSUG 2016 Fixed Item Parameter Calibration with MMLE-EM Using a Fixed Prior in SAS/IML Sung-Hyuck Lee,
Hongwook Suh		 7
MWSUG 2016 Frequentist and Bayesian Interim Analysis in Clinical Trials: Group Sequential Testing and Posterior Predictive Probability Monitoring Using SAS Kechen Zhao 14
MWSUG 2016 I Have a Secret: How Can I Hide Small Numbers from Public View? Fred Edora 6
MWSUG 2016 Painless Extraction: Options and Macros with PROC PRESENV Keith Fredlund,
Thinzar Wai		 7
MWSUG 2016 Read html files and create standard tables for BISR at KUMC Chuanwu Zhang,
John Keighley,
Byron J. Gajewski		 7
MWSUG 2016 Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL Drew Doyle 11
MWSUG 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes 29
MWSUG 2016 Stress Testing and Supplanting the SAS LOCK Statement: Implementing Mutex Semaphores To Provide Reliable File Locking in Multiuser Environments To Enable and Synchronize Parallel Processing Troy Martin Hughes 27
MWSUG 2016 The Practice of Credit Risk Modeling for Alternative Lending Keith Shields,
Bruce S. Lund		 8
MWSUG 2016 Using Animation to Make Statistical Graphics Come to Life Jesse M. Pratt 10
MWSUG 2016 Using SAS to Generate p-Values with Monte Carlo Simulation Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Michael Woodford,
Gloria Palmisano,
Gretchen Piatt,
Michele Heisler		 14
PharmaSUG CN 2016 Interactive SAS Analysis Service (iSAS) within AIX Unix SAS Server [presentation] Stanley Wei 15
PharmaSUG CN 2016 Macro Quoting: Which Function Should We Use? Pengfei Guo 5
WUSS 2016 A SAS macro for quick descriptive statistics Jenna Carlson source 4
WUSS 2016 A Waze App for Base SAS: Automatically Routing Around Locked Data Sets, Bottleneck Processes, and Other Traffic Congestion on the Data Superhighway Troy Martin Hughes source 16
WUSS 2016 A Well-Formatted and Easy-to-Navigate Solution for Submitting SAS Source Code in NDA Submission Jeff Xia,
Lugang Larry Xie		 source 7
WUSS 2016 Bayesian Concepts: An Introduction John Amrhein source 8
WUSS 2016 Building Better ADaM Datasets Faster With If-Less Programming Lei Zhang source 17
WUSS 2016 Check Please: An Automated Approach to Log Checking Richann J. Watson source 10
WUSS 2016 Combining Reports into a Single File Deliverable Bill Coar source 15
WUSS 2016 Contributing to SAS By Writing Your Very Own Package Hunter Glanz,
Emily Johnson		 source 5
WUSS 2016 Customizing Plots to Your Heart's Content Using PROC GPLOT and the Annotate Facility Debbie Huang source 9
WUSS 2016 Demystifying the CONTRAST and ESTIMATE Statement Hector Lemus source 13
WUSS 2016 Distance Correlation for Vectors: A SAS Macro Thomas E. Billings source 15
WUSS 2016 Don't Forget About Small Data Lisa Eckler source 15
WUSS 2016 Employing Latent Analyses in Longitudinal Studies: An Exploration of Independently Developed SAS Procedures Deanna Naomi Schreiber-Gregory source 14
WUSS 2016 Equivalence Tests John Amrhein,
Fei Wang		 source 9
WUSS 2016 Fitting Threshold Models using the SAS Procedures NLIN and NLMIXED Todd Coffey source 11
WUSS 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen source 27
WUSS 2016 Hierarchical Generalized Linear Models for Behavioral Health Risk-Standardized 30-Day and 90-Day Readmission Rates Allen Hom source
pptx		 20
WUSS 2016 How D-I-D you do that? Basic Difference-in-Differences Models in SAS Margaret Warton,
Melissa Parker,
Andrew Karter		 source 11
WUSS 2016 Indenting with Style Bill Coar source 7
WUSS 2016 Jumping Into SAS ODS Graphics Overnight Roger D. Muller source 13
WUSS 2016 Knowledge is Power: The Basics of SAS Proc Power Elaina Gates source 5
WUSS 2016 Selection Bias: How Can Propensity Score Utilization Help Control For It? Deanna Naomi Schreiber-Gregory source 13
WUSS 2016 Short Introduction to Reliability Engineering and PROC RELIABILITY to Non-Engineers Danny Rithy source 7
WUSS 2016 Social Media, Anonymity, and Fraud: HP Forest Node in SAS Enterprise Miner Taylor K. Larkin,
Denise J. McManus		 source 5
WUSS 2016 Some Useful Macros to Make Your Data Work Easier Ting Sa source 10
WUSS 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source 29
WUSS 2016 The Power of the Function Compiler: PROC FCMP Christina Garcia,
Cal Poly San Luis Obispo		 source 9
WUSS 2016 Tweaking your tables: Suppressing superfluous subtotals in PROC TABULATE Steve Cavill source 8
WUSS 2016 What just happened? A visual tool for highlighting differences between two data sets. Steve Cavill source 18
WUSS 2016 You are the Concierge - a CDISC compliant project management tool on SDD Chen Shi source 1
PharmaSUG 2016 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler source 16
PharmaSUG 2016 A SAS Macro Tool to Automate Generation of Define.xml V2.0 from SDTM Specification for FDA Submission Min Chen,
Xiangchen (Bob) Cui		 source 24
PharmaSUG 2016 Best Practices: Subset Without Getting Upset Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 17
PharmaSUG 2016 Combining TLFs into a Single File Deliverable William Coar source 15
PharmaSUG 2016 Consider Define.xml Generation during Development of CDISC Dataset Mapping Specifications Vara Prasad Reddy Sakampally,
Bhavin Busa		 source 6
PharmaSUG 2016 Creating Define-XML version 2 including Analysis Results Metadata with the SAS Clinical Standards Toolkit Lex Jansen source 29
PharmaSUG 2016 Data Visualization for Quality Control in NONMEM Data set Linghui Zhang source 9
PharmaSUG 2016 Displaying data from NetMHCIIPan using GMAP: the SAS System as a Bioinformatics Tool Kevin R. Viel source 22
PharmaSUG 2016 Duplicate records - it may be a good time to contact your data management team Sergiy Sirichenko,
Max Kanevsky		 source 8
PharmaSUG 2016 Empowering Users By Creating Data Visualization Applications In R/Shiny Sudhir Singh,
Brian Munneke,
Amulya R. Bista,
Jeff Cai		 source 8
PharmaSUG 2016 Enhancing the SAS Enhanced Editor with Toolbar Customizations Lynn Mullins source 6
PharmaSUG 2016 Everything or Nothing - A Better Confidence Intervals for Binomial Proportion in Clinical Trial Data Analysis Sakthivel Sivam,
Subbiah Meenakshisundaram		 source 8
PharmaSUG 2016 Get a Quick Start with SAS ODS Graphics By Teaching Yourself Roger D. Muller source 25
PharmaSUG 2016 Handling Interim and Incomplete Data in a Clinical Trials Setting Paul Stutzman source 13
PharmaSUG 2016 Importing Data Specifications from .RTF and .DOC files and producing Reports Sandesh Jagadeesh source 5
PharmaSUG 2016 Latent Structure Analysis Procedures in SAS Deanna Naomi Schreiber-Gregory source 8
PharmaSUG 2016 New for SAS 9.4: A Technique for Including Text and Graphics in Your Microsoft Excel Workbooks, Part 1 Vincent DelGobbo source 23
PharmaSUG 2016 PrecMod: An Automated Precision SAS Macro for Random Effects Models Jesse Albert Canchola,
Pari Hemyari		 source 15
PharmaSUG 2016 Preparing the Data to Ensure Correct Calculation of Relative Risk Ravi Kankipati,
Abhilash Chimbirithy		 source 13
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan		 source 8
PharmaSUG 2016 Quality, Timely and Within Budget Analysis and Reporting - Yes, you can have all three! A process and tool to help achieve this goal Wilminda Martin,
Sharon Niedecken,
Syamala Schoemperlen		 source 12
PharmaSUG 2016 Results-Level Metadata: What, How, and Why Frank C. DiIorio,
Jeffrey M. Abolafia		 source 11
PharmaSUG 2016 ROC Curve: Making way for correct diagnosis Manoj Pandey,
Abhinav Jain		 source 12
PharmaSUG 2016 Scrambled Data - A Population PK/PD Programming Solution Sharmeen Reza source 8
PharmaSUG 2016 Simulation of Data using the SAS System, Tools for Learning and Experimentation Kevin R. Viel,
Bevan K. Youse		 source 11
PharmaSUG 2016 The Devil is in the Details - Reporting from Pinnacle 21 (OpenCDISC) Validation Report Amy Garrett,
Chris Whalen		 source 11
PharmaSUG 2016 The Power of Data Access Functions: An example with Dataset-XML Creation Joseph W. Hinson source 9
PharmaSUG 2016 The Standard for the Exchange of Nonclinical Data (SEND): History, Basics, and Comparisons with Clinical Data Fred Wood source 10
PharmaSUG 2016 Transforming Biomarker Data into an SDTM based Dataset Kiran Cherukuri source 7
PharmaSUG 2016 Up-Versioning Existing Define.xml from 1.0 to 2.0 Jeff Xia,
Lugang Xie (Larry)		 source 7
PharmaSUG 2016 What makes a "Statistical Programmer" different from a "Programmer" Arun Raj Vidhyadharan,
Sunil Mohan Jairath		 source 12
SGF 2016 A Guide to Section 508 Compliance Using SAS 9.4 Output Delivery System (ODS) Glen R. Walker source 40
SGF 2016 An Efficient Algorithm in SAS to Reconcile Two Different Serious Adverse Event (SAE) Data Sources Zhou Hui source 7
SGF 2016 An End-to-End, Automation Framework for Implementing Identity-Driven Row-Level Security Using SAS Visual Analytics Paul W. Johnson,
Ekaitz Goienola,
Dileep Pournami		 source 12
SGF 2016 An Introduction to SAS Arrays Andrew T. Kuligowski,
Lisa A. Mendez		 source 11
SGF 2016 Analysis of Grades for University Students Using Administrative Data and the IRT Procedure Sara Armandi source 13
SGF 2016 Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions Niloofar Ramezani source 16
SGF 2016 Analyzing the Hospital Episode Statistics Data Set: How Much Does SAS Help? Violeta Balinskaite source 9
SGF 2016 Application of Data Mining Techniques in Improving Breast Cancer Diagnosis Josephine Akosa source
presentation		 10
SGF 2016 Applying Frequentist and Bayesian Logistic Regression to MOOC data in SAS: a Case Study Yan Zhang,
Ryan Baker,
Yoav Bergner		 source
presentation		 7
SGF 2016 Architecting Data Management: Seven Principles Using SAS, DataFlux, and SQL Bob Janka source 20
SGF 2016 Bayesian Inference for Gaussian Semiparametric Multilevel Models Jason Bentley,
Cathy Yuen Yi Lee		 source
zip		 19
SGF 2016 Best Practices for Effective Model Risk Management Satish Garla,
Sukhbir Dhillon		 source 15
SGF 2016 Big Data, Big Headaches: An Agile Modeling Solution Designed for the Information Age Mariam Seirafi source 13
SGF 2016 Breakthroughs at Old Dominion Electric Cooperative with Energy Load Forecasting Innovation David Hamilton,
Steve Becker,
Emily Forney		 source 19
SGF 2016 Bridging the Gap: Importing Health Indicators Warehouse Data into SAS Visual Analytics Using SAS Stored Processes and APIs Li-Hui Chen,
Manuel Figallo-Monge		 source 12
SGF 2016 Can you decipher the code? If you can, maybe you can break it Jayanth Iyengar source 7
SGF 2016 Can You Stop the Guesswork in Your Marketing Budget Allocation? Marketing Mixed Modeling Using SAS Can Help! Delali Agbenyegah source 7
SGF 2016 Case Study Using SAS Forecast Studio: Daily Taxi Data from New York City [presentation] Simon Sheather source 47
SGF 2016 Case Study: SAS Visual Analytics Dashboard for Pollution Analysis Viraj R Kumbhakarna source 12
SGF 2016 Cell Suppression In SAS Visual Analytics: A Primer Marc Flore source 7
SGF 2016 Classifying Fatal Automobile Accidents in the US, 2010-2013: Using SAS Enterprise Miner to Understand and Reduce Fatalities Catherine LaChapelle,
Daniel Brannock,
Aric LaBarr,
Craig Shaver		 source 11
SGF 2016 Competing-Risks Analyses: An Overview of Regression Models Joseph C. Gardiner source 22
SGF 2016 Correcting the Quasi-complete Separation Issue in Logistic Regression Models Xinghe Lu source 10
SGF 2016 Creating Amazing Visualisations with SAS Stored Processes and JavaScript libraries Philip A. Mason source 20
SGF 2016 Credit Card Interest and Transactional Income Prediction with an Account-Level Transition Panel Data Model Using SAS/STAT and SAS/ETS Software Denys Osipenko source 20
SGF 2016 Credit Risk Modeling in a New Era Wei Chen,
Martim Rocha,
Jimmy Skoglund		 source 16
SGF 2016 Cyclist Death and Distracted Driving: Important Factors to Consider Lysbeth Floden,
Melanie Bell,
Patrick O'Connor		 source 12
SGF 2016 Design for Success: An Approach to Metadata Architecture for Distributed Visual Analytics Ratul Saha,
Vimal Raj,
Vignesh Balasubramanian		 source 18
SGF 2016 Designing SAS Visual Analytics Reports: Write Once, View Anywhere Karen Mobley,
Rich Hogan,
Pratik Phadke		 source 17
SGF 2016 Developing SAS Studio Repositories Swapnil Ghan,
Michael Monaco,
Amy Peters		 source 16
SGF 2016 Diagnosing Obstructive Sleep Apnea: Using Predictive Analytics Based on Wavelet Analysis in SAS/IML Software and Spectral Analysis in PROC SPECTRA Woranat Wongdhamma source 12
SGF 2016 Do SAS High-Performance Statistics Procedures Really Perform Highly ? A Comparison of HP and Legacy Procedures Diep T. Nguyen,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Jessica Montgomery,
Patricia Rodríguez de Gil,
Yan Wang		 source
presentation		 10
SGF 2016 Equivalence Tests Fei Wang,
John Amrhein		 source 9
SGF 2016 Exact Logistic Models for Nested Binary Data in SAS Kyle Irimata,
Jeffrey Wilson		 source 6
SGF 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Cheryl Joneckis,
Sherry Ni,
Kennedy Onzere		 source 60
SGF 2016 Finding and Evaluating Multiple Candidate Models for Logistic Regression Bruce S. Lund source
zip		 17
SGF 2016 Finding the One: Using SAS Code and SAS Data Quality Server to Create a Matched Record Elena Shtern,
Kim Hare		 source 25
SGF 2016 Fitting Your Favorite Mixed Models with PROC MCMC Gordon Brown,
Fang K. Chen,
Maura E. Stokes		 source 27
SGF 2016 Get a Quick Start with SAS ODS Graphics By Teaching Yourself Roger D. Muller source
presentation		 12
SGF 2016 Graph a Million with the SGPLOT Procedure Prashant Hebbar,
Lingxiao Li,
Sanjay N. Matange		 source
zip		 9
SGF 2016 Graphing Made Easy for Project Management Zhouming Sun source 11
SGF 2016 Health Care's One Percenters : Hot-Spotting to Identify Areas of Need and Opportunity Paul A. LaBrec source 14
SGF 2016 Holiday Demand Forecasting in the Utility Industry Rain Xie,
Alex Chien		 source 13
SGF 2016 Improve Your Business through Process Mining Emily Y. Gao,
Robert Chu,
Xudong Sun		 source 17
SGF 2016 Integrating SAS and R to Perform Optimal Propensity Score Matching Lucy D'Agostino McGowan,
Robert Greevy		 source 11
SGF 2016 Latent Class Analysis Using the LCA Procedure Patricia A. Berglund source 18
SGF 2016 Latent Structure Analysis Procedures in SAS Deanna Naomi Schreiber-Gregory source 8
SGF 2016 Lenovo Success Story: Early Detection of Pervasive Quality Issues through the Voice of Customer Analytics Murali Krishna Pagolu,
Rob Carscadden		 source 16
SGF 2016 Let SAS Help You Easily Find and Access Your Folders and Files Ting Sa source
presentation		 6
SGF 2016 Lyric Complexity and Song Popularity: Analysis of Lyric Composition and Relation among Billboard Top 100 Songs John Harden,
Yang Gao,
Vojtech Hrdinka,
Chris Linn		 source 15
SGF 2016 Make Predictions More Predictive: Lift Retail Marketing Campaign Response by Blending Logistic Regression and the Cox Proportional Hazards Model Hsin-Yi Wang source 10
SGF 2016 Making Better Decisions about Risk Classification Using Decision Trees in SAS Visual Analytics Stephen M. Overton,
Ben Murphy		 source 13
SGF 2016 Mastering Data Summarization with PROC SQL Christianna S. Williams source 20
SGF 2016 MCMC in SAS: From Scratch or by PROC Chelsea Lofland source 19
SGF 2016 Medicare Fraud Analytics Using Cluster Analysis: How PROC FASTCLUS Can Refine the Identification of Peer Comparison Groups Paulo Macedo source
zip		 9
SGF 2016 Missing Values: They Are NOT Nothing Justin Jia,
Shan Shan Lin		 source 19
SGF 2016 More Hidden Base SAS Features to Impress Your Colleagues Peter Crawford source 15
SGF 2016 Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS Patricia Rodríguez de Gil,
Jeffrey D. Kromrey		 source 15
SGF 2016 New for SAS 9.4: A Technique for Including Text and Graphics in Your Microsoft Excel Workbooks, Part 1 Vincent DelGobbo source 23
SGF 2016 Predicting If Mental Health Facilities Will Offer Free Treatment to Patients Who Cannot Afford It Ram Poudel,
Lynn Xiang		 source 11
SGF 2016 Predicting Occurrence Rate of Systemic Lupus Erythematosus and Rheumatoid Arthritis in Pregnant Women Ravikrishna Vijaya Kumar,
Shrie Raam Sathyanarayanan		 source 15
SGF 2016 Predicting Rare Events Using Specialized Sampling Techniques in SAS Rhupesh Damodaran Ganesh Kumar,
Kiren Raj Mohan Jagan Mohan		 source 7
SGF 2016 Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS Enterprise Miner 12.3 Mostakim Tanjil,
Goutam Chakraborty		 source
presentation		 12
SGF 2016 Probability Density for Repeated Events Bruce S. Lund source 16
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SGF 2016 Real-Time Predictive Modeling of Key Quality Characteristics Using Regularized Regression: SAS Procedures GLMSELECT and LASSO Jon M. Lindenauer source 10
SGF 2016 Redesigning Control Using the GMATCH Algorithm to Isolate Impact of a Specific Marketing Intervention from Overlapping Solicitations Mou Dutta,
Arjun Natarajan		 source
zip		 8
SGF 2016 Restricted Cubic Spline Regression: A Brief Introduction Ruth Croxford source 5
SGF 2016 Risk Adjustment Methods in Value-Based Reimbursement Strategies Daryl Wansink source 6
SGF 2016 Sampling in SAS using PROC SURVEYSELECT Rachael Becker,
Drew Doyle		 source
presentation		 18
SGF 2016 SAS Global Forum [presentation] Bob Matsey source 37
SGF 2016 Security in Public Reports: Combining Strict Row-Level Authorization with Publically Available Reports Using SAS Visual Analytics Levi Lindblom source 13
SGF 2016 Shuffle Up and Deal! Sampling without Replacement Using SAS Daniel R. Bretheim source
presentation		 9
SGF 2016 Simultaneous Forecasts of Multiple Interrelated Time Series with Markov Chain Model Gongwei Chen source 11
SGF 2016 Sorting a Bajillion Records: Conquering Scalability in a Big Data World Troy Martin Hughes source
presentation		 29
SGF 2016 Statistical Comparisons of Disease Prevalence Rates Using the Bootstrap Procedure Matthew Dutton,
Charlotte Baker		 source 6
SGF 2016 Strategies for Developing and Delivering an Effective Online SAS Programming Course Justina M. Flavin source 11
SGF 2016 Streaming Decisions: How SAS Puts Streaming Data to Work Fiona McNeill,
David R. Duling,
Steve Sparano		 source
zip		 15
SGF 2016 Survey Data Imputation with PROC SURVEYIMPUTE Pushpal K. Mukhopadhyay source 26
SGF 2016 The Baker's Dozen: What Every Biostatistician Needs to Know AnnMaria De Mars source 17
SGF 2016 The HPSUMMARY Procedure: An Old Friend's Younger (and Brawnier) Cousin Anh P. Kellermann,
Jeffrey D. Kromrey		 source
presentation		 9
SGF 2016 The New SAS Map Data Sets A. Darrell Massengill source
zip		 21
SGF 2016 The Path Length: Parent-Child De-lineage with PROC TREE and ODS Can Tongur source 10
SGF 2016 The Three I's of SAS Log Messages, IMPORTANT, INTERESTING, and IRRELEVANT William E. Benjamin Jr. source
zip		 21
SGF 2016 The Use of Statistical Sampling in Auditing Health-Care Insurance Claim Payments Taylor Lewis,
Julie Johnson,
Christine Muha		 source 18
SGF 2016 Transformers: Revenge of the PROCs Faron Kincheloe source 11
SGF 2016 Universal File Flattener David A. Vandenbroucke source
zip		 15
SGF 2016 Upgrade from ARIMA to ARIMAX to Improve Forecasting Accuracy of Nonlinear Time-Series: Create Your Own Exogenous Variables Using Wavelet Analysis Woranat Wongdhamma source 16
SGF 2016 Using Administrative Databases for Research: Propensity Score Methods to Adjust for Bias Ruth Croxford source 10
SGF 2016 Using Animation to Make Statistical Graphics Come to Life Jesse M. Pratt source 10
SGF 2016 Using GENMOD to Analyze Correlated Data on Military Health System Beneficiaries Receiving Behavioral Health Care in South Carolina Health Care System Abbas S. Tavakoli,
Jordan Brittingham,
Nikki R. Wooten		 source
presentation		 10
SGF 2016 Using SAS Geocoding as a Form of Field Interview Verification Chris Carson,
Lilia Filippenko,
Mai Nguyen		 source 12
SGF 2016 Using SAS Simulation Studio to Test and Validate SAS/OR Optimization Models Edward P. Hughes,
Emily Lada,
Leo Lopes,
Imre Polik		 source
zip		 10
SGF 2016 Using SAS Text Miner for Automatic Categorization of Blog Posts on a Social Networking Site Dedicated to Cyclists Heramb Joshi,
Goutam Chakraborty		 source 11
SGF 2016 Using the Kaplan-Meier Product-Limit Estimator to Adjust NFL Yardage Averages Keith G. Curtis source 20
SGF 2016 Using the SAS Deployment Backup and Recovery Tool in the Third Maintenance Release of SAS 9.4 Bhaskar Kulkarni source 7
SGF 2016 Using the SAS Hash Object with Duplicate Key Entries Paul M. Dorfman source
zip		 16
SGF 2016 Using the SURVEYSELECT Procedure to Draw Stratified Cluster Samples with Unequally Sized Clusters Chuanjie Liao,
Brian Patterson		 source
presentation		 11
SGF 2016 What's the Difference? David A. Dickey source 17
SGF 2016 Who's Your Neighbor? A SAS Algorithm for Finding Nearby Zip Codes Andrew W. Clapson,
Annmarie Smith		 source
zip		 7
SCSUG 2015 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler source 16
SCSUG 2015 Easy Come, Easy Go - Interactions between the DATA Step and External Files Andrew T. Kuligowski source 16
SCSUG 2015 Google Search Tips and Techniques for SAS Users Charles E. Shipp source 8
MWSUG 2015 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
MWSUG 2015 A Macro for Systematic Treatment of Special Values in Weight of Evidence Variable Transformation Chaoxian Cai 9
MWSUG 2015 A Simple Adjustment for Selection Bias Through Use of Propensity Scoring Deanna Naomi Schreiber-Gregory 24
MWSUG 2015 Can You Stop the Guesswork in Your Marketing Budget Allocation? Marketing Mixed Modeling Using SAS Can Help! Delali Agbenyegah 7
MWSUG 2015 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 2 Vincent DelGobbo 21
MWSUG 2015 Easy Come, Easy Go - Interactions between the DATA Step and External Files Andrew T. Kuligowski 16
MWSUG 2015 Fitting and Evaluating Logistic Regression Models Bruce S. Lund 26
MWSUG 2015 Getting Productive Fast in SAS ODS Graphics - a "Simple Look-See" Approach Roger D. Muller 22
MWSUG 2015 How to Build a Hierarchical Mixed Model in SAS Sara Burns,
Amit Amin,
Eric Novak		 8
MWSUG 2015 In Search of the LOST CARD Andrew T. Kuligowski 9
MWSUG 2015 Need Help Finding Something? Why Not Ask Your (Virtual) Community! A Collaborative Filtering Based Recommendation Engine in SAS Ben Elbert 12
MWSUG 2015 Plotting LSMEANS and Differences in Generalized Linear Models with GTL Robin High 9
MWSUG 2015 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
MWSUG 2015 Slice and Dice your customers easily by using SAS Clustering Procedures Yanping Shen 9
PHUSE EU 2015 Bias Reduction in Observational Cohort Studies - Obtaining Matched Cohorts Using Propensity Scores Shelley Fordred,
Victor Kiri		 source
presentation source		 8
PHUSE EU 2015 Ensuring Data Quality in Outsourced Studies - The Role of the Data Scientist Sarah Malbon,
Vikki Horton		 source
presentation source		 8
PHUSE EU 2015 Establish the Maximum Tolerated Dose in Phase 1 Trials Using the 3+3 Method Anup Pillai source
presentation source		 12
PHUSE EU 2015 Facing Your Fear of the Unknown - Handling Missing Data Amanda Reilly source
presentation source		 7
PHUSE EU 2015 How to Reduce Bias in the Estimates of Count Data Regression Ashwini Joshi,
Sumit Singh		 source
presentation source		 10
PHUSE EU 2015 Innovative Approach to Building an Adaptive Trial Design in Medidata Rave Joris De Bondt,
Tine Seeuws		 source
presentation source		 5
PHUSE EU 2015 Programming Strategically for PK/PD Data Grace Lu source
presentation source		 8
PHUSE EU 2015 Results-Level Metadata: What, How, and Why Frank C. DiIorio,
Jeffrey M. Abolafia		 source
presentation source		 11
PHUSE EU 2015 WPP, Worst Programming Practice - Real-life Pittfalls in Everyday Clinical Programming: Why and How Hannes Engberg Raeder,
Rowland Hale		 source
presentation source		 14
SESUG 2015 A Beginner's Babblefish: Basic Skills for Translation Between R and SAS Sarah Woodruff source 17
SESUG 2015 A Macro for Calculating Percentiles on Left Censored Environmental Data using the Kaplan-Meier Method Dennis J. Beal,
Oak Ridge		 source 6
SESUG 2015 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler source 16
SESUG 2015 A SAS Macro for Improved Correlation Coefficient Inference Stephen W. Looney source 7
SESUG 2015 A SAS Macro to Investigate Statistical Power in Meta-analysis Jin Liu,
Fan Pan		 source 5
SESUG 2015 Accessing and Extracting Unstructured XML Data using SAS and Python Sai Mandagondi source 8
SESUG 2015 An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies Yan Wang,
Seang-Hwane Joo,
Jeffrey D. Kromrey		 source 20
SESUG 2015 An Intermediate Guide to Estimating Multilevel Models for Categorical Data using SAS PROC GLIMMIX Whitney Smiley,
Elizabeth A. Leighton,
Zhaoxia Guo,
Mihaela Ene,
Bethany A. Bell		 source 16
SESUG 2015 Analysis of the Impact of Federal Funds Rate Change on US Treasuries Returns using SAS Svetlana Gavrilova source 31
SESUG 2015 ANOVA_Robust: A SAS Macro for Various Robust Approaches to Testing Mean Differences in One-Factor ANOVA Models Thanh V. Pham,
Eun Sook Kim,
Diep T. Nguyen,
Yan Wang,
Jeffrey D. Kromrey,
Yi-Hsin Chen		 source 14
SESUG 2015 Can Fit Indices Yielded from the SAS GLIMMIX Procedure Select the Accurate Q-matrix? Yan Wang,
Yi-Hsin Chen,
Isaac Y. Li,
Chunhua Cao		 source 8
SESUG 2015 Coder ' s Corner source 10
SESUG 2015 Comparing Results from Cox Proportional Hazards Models using SUDAAN and SAS Survey Procedures to a Logistic Regression Model for Analysis of Influenza Vaccination Coverage Yusheng Zhai,
K. E. Kahn,
A. O'Halloran		 source 13
SESUG 2015 Confidence Intervals for Binomial Proportion Using SAS: The All You Need to Know and No More... Confidence Intervals,
Jiangtang Hu		 source 10
SESUG 2015 Count the number of delimiters in the input file Kannan Deivasigamani source 6
SESUG 2015 Documentation as You Go: aka Dropping Breadcrumbs! Elizabeth Axelrod source 4
SESUG 2015 Don't Forget About Small Data Lisa Eckler,
Lisa Eckler		 source 15
SESUG 2015 Google Search Tips and Techniques for SAS Users Kirk Paul Lafler,
Charles E. Shipp		 source 8
SESUG 2015 High-Performance Procedures in SAS 9.4: Comparing Performance of HP and Legacy Procedures Jessica Montgomery,
Sean Joo,
Anh P. Kellermann,
Jeffrey D. Kromrey,
Diep T. Nguyen,
Patricia Rodríguez de Gil,
Yan Wang		 source 10
SESUG 2015 How Latent Structure Analysis Can Improve the Fit of a Regression Model Deanna Naomi Schreiber-Gregory source 11
SESUG 2015 Integrating PROC REG and PROC LOGISTIC for Collinearity Examination, Sample Scoring and Model Evaluation Alec Zhixiao Lin source 11
SESUG 2015 Maintaining a 'Look and Feel' throughout a Reporting Package Created with Diverse SAS Products Barbara B. Okerson source 9
SESUG 2015 MIXED_RELIABILITY: A SAS Macro for Estimating Lambda and Assessing the Trustworthiness of Random Effects in Multilevel Models Jason A. Schoeneberger,
Bethany A. Bell		 source 10
SESUG 2015 Prescription Opioid Use in the U.S. in 2012: Characterizing Sustained vs. Infrequent Use Using the Medical Expenditure Panel Survey Monika C. Lemke source 16
SESUG 2015 Probability Density for Repeated Events Bruce S. Lund source 16
SESUG 2015 Regression Analysis of the Levels of Chlorine in the Public Water Supply in Orange County, FL Drew Doyle source 10
SESUG 2015 Reporting of treatment emergent adverse events based on pooled data Analysis or Country Specific Submissions: A case study Sheetal Shiralkar source 8
SESUG 2015 Sampling in SAS using PROC SURVEYSELECT Drew Doyle,
Rachael Becker		 source 17
SESUG 2015 Text Analytics Using JMP Melvin T. Alexander,
Social Security		 source 14
SESUG 2015 Using MULTILABEL Formats in SAS to Analyze Data Over Moving Periods of Time Christopher M. Aston source 6
SESUG 2015 Using PROC SURVEYSELECT: Random Sampling Raissa Kouadjo Bordenave source 14
SESUG 2015 Using SAS to Create an Effect Size Resampling Distribution for a Statistical Test Peter S. Wludyka source 10
SESUG 2015 Using SAS to Examine Health Effects of Intimate Partner Violence among HIV+ Women Abbas S. Tavakoli,
Sabra S. Custer,
Yu Min NI		 source 6
SESUG 2015 Using SAS to Examine Health-Promoting Life Style Activities of Upper Division Nursing Students One of the Major University in South Eastern Nursing Students source 6
SESUG 2015 Using the SAS Hash Object with Duplicate Key Entries Paul M. Dorfman source 16
SESUG 2015 Your Own SAS Macros Are as Powerful as You Are Ingenious Yinghua Shi source 10
WUSS 2015 A Risk Factor Coding Custom Report Created With ODS Report Writing Interface With Recent Literature and Peer Review Robert Springborn source 13
WUSS 2015 A strategy for understanding your data: Binary Flags and PROC MEANS Tejaswini Tiruke,
Glen Masuda		 source 5
WUSS 2015 Approximation methods and quadrature points in PROC NLMIXED: A simulation study using structured latent curve models Nate Smith,
Shelley A. Blozis		 source 10
WUSS 2015 Architecting Data Management: 7 Principles using SAS, DataFlux and SQL Bob Janka source 17
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
WUSS 2015 Coding Your Own MCMC Algorithm Chelsea Lofland source 19
WUSS 2015 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 2 Vincent DelGobbo source 21
WUSS 2015 Easy Come, Easy Go - Interactions between the DATA Step and External Files Andrew T. Kuligowski source 16
WUSS 2015 Exploring SAS Visual Analytics capabilities to go from Fat to Fit! Viraj R Kumbhakarna source 22
WUSS 2015 Fraudulent Patterns: Stacking Annotated Data Sets On A US Map Using PROC GPROJECT and PROC GMAP Hanna Peterson source 8
WUSS 2015 Illustrating preliminary procedures for multi-dimensional item response theory Chong Ho Yu,
Samantha Douglas,
Anna Yu		 source 11
WUSS 2015 Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) Peter L. Flom source 25
WUSS 2015 Latent Analysis Applications for Regression Models Deanna Naomi Schreiber-Gregory source 11
WUSS 2015 Sample Size Convergence of Denominator Degrees of Freedom Method Options in SAS PROC MIXED Timothy Banh source 13
WUSS 2015 SAS at Los Angeles County Assessor's Office Anthony Liu source 20
WUSS 2015 SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data Maura E. Stokes source 25
WUSS 2015 Secrets from a SAS Technical Support Guy: Combining the Power of the SAS Output Delivery System with Microsoft Excel Worksheets Chevell T. Parker source 22
WUSS 2015 Smartmeter Case Study for SAS/Intel Solutions in IoT Suleyman Sair,
Pat M. Herbert		 source 6
WUSS 2015 Using Bootstrapping to Evaluate LOS Median Differences between Two Knee Arthroplasty Procedures Yubo Gao source 6
WUSS 2015 WUSS 2014 ENCORE: Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 1 Vincent DelGobbo source 19
WUSS 2015 Yes, PROC FREQ does that! AnnMaria De Mars source 15
PharmaSUG CN 2015 Clinical trials optimization: Monte Carlo Simulation modeling and SAS applications Ye Meng 5
PharmaSUG CN 2015 Comparison of Three Methods in Calculating Confidence Intervals for Rate Differences in Non-inferior Clinical Trials Yaohua Huang 4
PharmaSUG CN 2015 How to validate clinical data more efficiently with SAS Clinical Standards Toolkit Vivian Feng 11
PharmaSUG CN 2015 SAS Longitudinal Data Techniques - From Change from Baseline to Change from Previous Visits Chao Wang 5
PharmaSUG CN 2015 Use of SAS for Risk-Based Monitoring of Survival Endpoints and Adverse Event Data in Clinical Trials Zhizhuo Zhang,
Sichan Tang,
Ka Chun Chong,
Benny Chung-Ying Zee		 5
PharmaSUG CN 2015 Why Statistical Analysis Plan (SAP) should be comprehensive. Riddhi Merchant,
Ranjith Prayankotveettil		 6
PharmaSUG 2015 A Macro to Easily Generate a Calendar Report Ting Sa source 7
PharmaSUG 2015 A Methodology of Laboratory Data Reporting of Potentially Clinical Significant Abnormality (PCSA) for Clinical Study Report Xiangchen (Bob) Cui,
Min Chen		 source 21
PharmaSUG 2015 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler source 16
PharmaSUG 2015 A Simple Macro to Select Various Variables Lists Ting Sa,
Yanhong Liu		 source 5
PharmaSUG 2015 Analysis Methods for a Sequential Parallel Comparison Design (SPCD) Harry Haber,
James Zuazo,
Linda LaMoreaux		 source 11
PharmaSUG 2015 Clinical knowledge helps SAS programmers in the pharmaceutical industry get job done better Yingqiu Yvette Liu source 4
PharmaSUG 2015 Confidence Intervals Are a Programmer's Friend Xinxin Guo,
Zhaohui Su		 source 8
PharmaSUG 2015 Considerations in ADaM Occurrence Data: Handling Crossover Records for Non-Typical Analysis Karl Miller,
Richann J. Watson		 source 6
PharmaSUG 2015 Creating a Break in the Axis Amos Shu source 3
PharmaSUG 2015 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 2 Vincent DelGobbo source 21
PharmaSUG 2015 Creating output datasets using SQL (Structured Query Language) only Andrii Stakhniv source 10
PharmaSUG 2015 Grooming of Coarse Data by Smart Listing Using SAS System Soujanya Konda source 6
PharmaSUG 2015 How To Use Latent Analyses Within Survey Data Can Be Valuable Additions to Any Regression Model Deanna Naomi Schreiber-Gregory source 9
PharmaSUG 2015 Introduction to Interactive Drill Down Reports on the Web Michael G. Sadof,
Louis T. Semidey		 source 24
PharmaSUG 2015 Is Your SAS System Reliable? Wayne (Weizhen) Zhong source 9
PharmaSUG 2015 ISPLIT Macro: to split large SAS datasets Hany Aboutaleb source 4
PharmaSUG 2015 Leveraging ADaM Principles to Make Analysis Database and Table Programming More Efficient Andrew L Hulme source 13
PharmaSUG 2015 Medication Adherence in Cardiovascular Disease: Generalized Estimating Equations in SAS Erica Goodrich,
Daniel Sturgeon		 source 8
PharmaSUG 2015 Missing Data For Repeated Measures: Single Imputation VS Multiple Imputation Giulia Tonini,
Simona Scartoni,
Camilla Paoli,
Andrea Nizzardo,
Angela Capriati		 source 10
PharmaSUG 2015 Mlibcompare - keep an eye on the changes of your data Wen Shi source 29
PharmaSUG 2015 MMRM: Macro for Selecting Best Covariance Structure with the Method of Interest Linga Reddy Baddam,
Sudarshan Reddy Shabadu,
Chunxue Shi		 source 7
PharmaSUG 2015 Programming Pharmacokinetic (PK) Timing and Dosing Variables in Oncology Studies: Demystified Kiran Cherukuri source 9
PharmaSUG 2015 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
PharmaSUG 2015 Tackling Clinical Lab Data in Medical Device Environment Juan Wu,
Min Lai		 source 7
PharmaSUG 2015 The Dependency Mapper: How to save time on changes post database lock Apoorva Joshi,
Shailendra Phadke		 source 5
PharmaSUG 2015 Tips on Creating a Strategy for a CDISC Submission Rajkumar Sharma source 5
PharmaSUG 2015 Use of SAS Reports for External Vendor Data Reconciliation Soujanya Konda source 12
PharmaSUG 2015 Using ANCOVA to Assess Regression to the Mean Kathryn Schurr source 9
PharmaSUG 2015 Using SAS to Analyze the Impact of the Affordable Care Act John J. Cohen,
Meenal (Mona) Sinha		 source 12
PharmaSUG 2015 Utilizing SAS for Cross-Report Verification in a Clinical Trials Setting Daniel Szydlo,
Iraj Mohebalian,
Marla J. Husnik		 source 12
PharmaSUG 2015 Variable-Width Plot - SAS GTL Implementation Songtao Jiang source 6
SGF 2015 A Case Study: Improve Classification of Rare Events with SAS Enterprise Miner Ruizhe Wang,
Novik Lee,
Yun Wei		 source
zip		 12
SGF 2015 A Genetic Algorithm for Data Reduction Lisa Henley source
zip		 7
SGF 2015 A Macro to Easily Generate a Calendar Report Ting Sa source 8
SGF 2015 Adaptive Randomization Using PROC MCMC Qianyi Huang,
John Amrhein		 source 13
SGF 2015 Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression Edwin Rivera,
Jim West		 source 12
SGF 2015 All Payer Claims Databases (APCDs) in Data Transparency and Quality Improvement Paul A. LaBrec source 17
SGF 2015 An Empirical Comparison of Multiple Imputation Approaches for Treating Missing Data in Observational Studies Patricia Rodríguez de Gil,
Shetay Ashford,
Chunhua Cao,
Eun Sook Kim,
Rheta Lanehart,
Reginald Lee,
Jessica Montgomery,
Yan Wang		 source 20
SGF 2015 An Introduction to Testing for Unit Roots Using SAS: The Case of U.S. National Health Expenditures Don McCarthy source
zip		 6
SGF 2015 An Introductory Overview of the Features of Complex Survey Data Taylor Lewis source 22
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
SGF 2015 Analyzing and Visualizing the Sentiment of the Ebola Outbreak via Tweets Dheeraj Jami,
Goutam Chakraborty,
Shivkanth Lanka		 source 11
SGF 2015 Automation of Statistics Summary for Census Data in SAS [presentation] Janet Lee source 5
SGF 2015 Best Practices: Subset Without Getting Upset Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 17
SGF 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2015 Coding Your Own MCMC Algorithm Chelsea Lofland source 19
SGF 2015 Converting Annotate to ODS Graphics. Is It Possible? Philip R. Holland source 14
SGF 2015 Count Series Forecasting Michael J. Leonard source 14
SGF 2015 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 2 Vincent DelGobbo source
zip		 21
SGF 2015 Credit Card Holders' Behavior Modeling: Transition Probability Prediction with Multinomial and Conditional Logistic Regression in SAS/STAT Denys Osipenko,
Jonathan Crook		 source 13
SGF 2015 Data Aggregation Using the SAS Hash Object Paul M. Dorfman,
Donald J. Henderson		 source 20
SGF 2015 Data Quality Scorecard Tom Purvis source
zip		 16
SGF 2015 Data Sampling Improvement by Developing the SMOTE Technique in SAS Lina Maria Guzman Cartagena source 9
SGF 2015 DATU - Data Automated Transfer Utility: A Program to Migrate Files from Mainframe to Windows Jim Brittain,
Robert Schwartz		 source 8
SGF 2015 Demystifying Date and Time Intervals Derek P. Morgan source 13
SGF 2015 Divide and Conquer - Writing Parallel SAS Code to Speed Up Your SAS Program Doug Haigh source
zip		 13
SGF 2015 Donor Sentiment and Characteristic Analysis Using SAS Enterprise Miner and SAS Sentiment Analysis Studio Ramcharan Kakarla,
Goutam Chakraborty		 source 12
SGF 2015 Double Generalized Linear Models Using SAS: The %DOUBLEGLM Macro Paulo Silva,
Alan Ricardo da Silva		 source
zip		 16
SGF 2015 Edit the Editor: Creating Keyboard Macros in SAS Enterprise Guide Christopher J. Bost source
zip		 7
SGF 2015 Efficient Ways to Build Up Chains and Waves for Respondent-Driven Sampling Data [presentation] Wen Song source 3
SGF 2015 Entity Resolution and Master Data Life Cycle Management in the Era of Big Data John Talburt source 16
SGF 2015 Entropy-Based Measures of Weight of Evidence and Information Value for Variable Reduction and Segmentation for Continuous Dependent Variables Alec Zhixiao Lin source 27
SGF 2015 Equivalence and Noninferiority Testing Using SAS/STAT Software John M. Castelloe,
Donna Watts		 source 23
SGF 2015 Examination of Three SAS Tools for Solving a Complicated Data Summary Problem Carry W. Croghan source 12
SGF 2015 GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models Anh P. Kellermann,
Yi-Hsin Chen,
Jeffrey D. Kromrey,
Thanh Pham,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Jeanine L. Romano		 source 12
SGF 2015 Health Services Research Using Electronic Health Record Data: A Grad Student How-To Paper Ashley Collinsworth,
Elisa L. Priest		 source 9
SGF 2015 How Latent Analyses within Survey Data Can Be Valuable Additions to Any Regression Model Deanna Naomi Schreiber-Gregory source 9
SGF 2015 How to Tell the Best Story with Your Data Using SAS Visual Analytics Graph Builder Travis Murphy source 23
SGF 2015 Implementing a Discrete Event Simulation Using the American Community Survey and the SAS University Edition Michael C. Grierson source
zip		 12
SGF 2015 Imputing Missing Data using SAS Christopher Yim source 9
SGF 2015 Integrating SAS and the R Language with Microsoft SharePoint Piyush K. Singh,
Prasoon Sangwan,
Shiv Govind Yadav		 source 11
SGF 2015 Jeffreys Interval for One-Sample Proportion with SAS/STAT Software Wu Gong source 7
SGF 2015 Learn Hidden Ideas in Base SAS to Impress Colleagues Peter Crawford source 10
SGF 2015 Location-Based Association of Customer Sentiment and Retail Sales Asish Satpathy,
Goutam Chakraborty,
Tanvi Kode		 source 6
SGF 2015 Maintaining a 'Look and Feel' throughout a Reporting Package Created with Diverse SAS Products Barbara B. Okerson source 9
SGF 2015 Methodological and Statistical Issues in Provider Performance Assessment Daryl Wansink source 6
SGF 2015 Modelling Operational Risk Using Extreme Value Theory and Skew t-Copulas via Bayesian Inference Using SAS Betty Johanna Garzon Rozo source 20
SGF 2015 Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics Mihaela Ene,
Bethany A. Bell,
Genine L. Blue,
Elizabeth Leighton		 source 12
SGF 2015 Multinomial Logistic Model for Long-Term Value Bruce S. Lund source 16
SGF 2015 Multiple Imputation Using the Fully Conditional Specification Method: A Comparison of SAS, Stata, IVEware, and R Patricia A. Berglund source 17
SGF 2015 One Check Box to Happiness: Enabling and Analyzing SAS LASR Analytic Server Logs in SAS Visual Analytics Chris Vincent source 5
SGF 2015 Practical Applications of SAS Simulation Studio Edward P. Hughes,
Emily Lada		 source 11
SGF 2015 Reducing the Bias: Practical Application of Propensity Score Matching in Healthcare Program Evaluation Amber Schmitz,
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski		 source 7
SGF 2015 Regulatory Compliance Reporting Using SAS XML Mapper Sarita Kannarath,
Phil Hanna,
Amitkumar Nakrani,
Nishant Sharma		 source 23
SGF 2015 Replication Techniques for Variance Approximation Taylor Lewis source 19
SGF 2015 Sampling Financial Records Using the SURVEYSELECT Procedure Roger L. Goodwin source
zip		 7
SGF 2015 SAS Analytics plus Warren Buffett's Wisdom Beats Berkshire Hathaway! Huh? Bruce Bedford source 20
SGF 2015 SAS and SAP Business Warehouse on SAP HANA--What's in the Handshake? Tatyana Petrova source 17
SGF 2015 SAS Does Data Science: How to Succeed in a Data Science Competition Patrick Hall source
zip		 11
SGF 2015 SAS for Six Sigma - An Introduction Daniel R. Bretheim source 32
SGF 2015 SAS Model Manager: An Easy Method for Deploying SAS Analytical Models into Relational Databases and Hadoop Jifa Wei,
Kristen Aponte		 source 12
SGF 2015 SASTRACE: Your Key to RDBMS Empowerment Andrew Howell source 12
SGF 2015 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund source 16
SGF 2015 Sensing Demand Signals and Shaping Future Demand Using Multi-tiered Causal Analysis Charlie Chase source 8
SGF 2015 Someone Changed My SAS Visual Analytics Report! How an Automated Version Control Process Can Rescue Your Report and Save Your Sanity Jerry J. Hosking source 18
SGF 2015 Statistical Analysis of Publicly Released Survey Data with SAS/STAT Software SURVEY Procedures Donna Brogan source 20
SGF 2015 Sums of Squares: The Basics and a Surprise Sheila Barron,
Michelle Mengeling		 source 8
SGF 2015 Survey Sample Designs for Auditing, Fraud, and Forensics. Turner Bond source 13
SGF 2015 Survival Analysis with Survey Data Joseph C. Gardiner source 17
SGF 2015 Teach Them to Fish--How to Use Tasks in SAS Studio to Enable Co-Workers to Run Your Reports Themselves Christie Corcoran,
Amy Peters		 source 13
SGF 2015 Ten Tips for Simulating Data with SAS Rick Wicklin source
zip		 15
SGF 2015 The bookBot Ultimatum! David A. Dickey,
John Vickery		 source
zip		 19
SGF 2015 The Business of Campaign Response Tracking Pamela Dixon source 8
SGF 2015 The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT Denys Osipenko,
Jonathan Crook		 source 19
SGF 2015 The More Trees, the Better! Scaling Up Performance Using Random Forest in SAS Enterprise Miner Narmada Deve Panneerselvam source 10
SGF 2015 Time Series Modeling and Forecasting--An Application to Stress-Test Banks Ania Supady source 13
SGF 2015 Tips for Publishing in Health Care Journals with the Medical Expenditure Panel Survey (MEPS) Data Using SAS Seungyoung Hwang source 14
SGF 2015 Twelve Ways to Better Graphs LeRoy Bessler source 20
SGF 2015 Unconventional Data-Driven Methodologies Forecast Performance in Unconventional Oil and Gas Reservoirs Keith R. Holdaway,
Louis Fabbi,
Dan Lozie		 source 20
SGF 2015 Understanding Patterns in the Utilization and Costs of Elbow Reconstruction Surgeries: A Healthcare Procedure that is Common among Baseball Pitchers Jeff Dang source
zip		 8
SGF 2015 Using and Understanding the LSMEANS and LSMESTIMATE Statements David J. Pasta source 20
SGF 2015 Using PROC SURVEYREG and PROC SURVEYLOGISTIC to Assess Potential Bias Lucy D'Agostino McGowan,
Alice Toll		 source 8
SGF 2015 Using SAS to Deliver Web Content Personalization Using Cloud-Based Clickstream Data and On-premises Customer Data Mahesh Subramanian,
Suneel Grover		 source 24
SGF 2015 Using SAS/STAT Software to Implement a Multivariate Aadaptive Outlier Detection Approach to Distinguish Outliers from Extreme Values Paulo Macedo source 12
SGF 2015 Validation and Monitoring of PD Models for Low Default Portfolios Using PROC MCMC Machiel Kruger source 16
SGF 2015 Want an Early Picture of the Data Quality Status of Your Analysis Data? SAS Visual Analytics Shows You How Gerhard Svolba source
zip		 19
SGF 2015 What's New in SAS Data Management Nancy A. Rausch,
Mike Frost		 source 18
SGF 2015 What's New in SAS Studio? Mike Porter,
Michael Monaco,
Amy Peters		 source 12
SGF 2015 Will You Smell Smoke When Your Data Is on Fire? The SAS Smoke Detector: A Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes source 25
SCSUG 2014 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler,
Charles E. Shipp		 16
SCSUG 2014 Connect with SAS Professionals Around the World with LinkedIn and sasCommunity.org Kirk Paul Lafler,
Charles E. Shipp		 15
SCSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 13
SCSUG 2014 Using SAS to Manage Biological Species Data and Calculate Diversity Indices Paul Montagna 5
SESUG 2014 %DISCIT Macro: Pre-screening continuous variables for subsequent binary logistic regression analysis through visualization Mohamed S. Anany source 6
SESUG 2014 @/@@ This Text file. Importing Non-Standard Text Files using @,@@ and / Operators. Russell Woods source 12
SESUG 2014 A National Study of Health Services Utilization and Cost of Care with SAS: Analyses from the 2011 Medical Expenditure Panel Survey Seungyoung Hwang,
Johns Hopkins		 source 12
SESUG 2014 A Review of "Free" Massive Open Online Content (MOOC) for SAS Learners Kirk Paul Lafler source 16
SESUG 2014 Analysis of Zero Inflated Longitudinal Data Using Proc NLMIXED Delia C Voronca,
Leonard E Egede,
Mulugeta Gebregziabher,
Ralph H. Johnson		 source 18
SESUG 2014 Analyzing Multilevel Models with the GLIMMIX Procedure Min Zhu source 19
SESUG 2014 ANOVA_HOV: A SAS Macro for Testing Homogeneity of Variance in One-Factor ANOVA Models Diep T. Nguyen,
Thanh V. Pham,
Patricia Rodríguez de Gil,
Tyler Hicks,
Yan Wang,
Isaac Y. Li,
Aarti P. Bellara,
Jeanine L. Romano,
Eun Sook Kim,
Harold Holmes,
Yi-Hsin Chen,
Jeffrey D. Kromrey		 source 12
SESUG 2014 Combining Multiple Date-Ranged Historical Data Sets with Dissimilar Date Ranges into a Single Change History Data Set Jim Moon source 9
SESUG 2014 Connect with SAS Professionals Around the World with LinkedIn and sasCommunity.org Kirk Paul Lafler source 15
SESUG 2014 Dashboards with SAS Visual Analytics Patricia S. Aanderud,
Michelle Homes		 source 20
SESUG 2014 Design of Experiments (DOE) Using JMP Charles E. Shipp source 3
SESUG 2014 Expanding the Use of Weight of Evidence and Information Value to Continuous Dependent Variables for Variable Reduction and Scorecard Development Alec Zhixiao Lin,
Tung-Ying Hsieh		 23
SESUG 2014 Exploring the Use of Negative Binomial Regression Modeling for Pediatric Peripheral Intravenous Catheterization Jennifer Mann,
Jason Brinkley,
Pamela Larson		 source 7
SESUG 2014 Impact of Q-matrix Misspecification on Cognitive Attribute Estimation in the Crossed Random Effects LLTM Model with the SAS GLIMMIX Procedure Yi-Hsin Chen 11
SESUG 2014 Integrating SAS with JMP to Build an Interactive Application Marve Gurlu source 16
SESUG 2014 Introduction to Interactive Drill Down Reports on the Web Michael G. Sadof 27
SESUG 2014 Let SAS Do the Coding for You! Robert Williams source 10
SESUG 2014 Making Comparisons Fair: How LS-Means Unify the Analysis of Linear Models Weijie Cai source 22
SESUG 2014 Maximizing Confidence and Coverage for a Nonparametric Upper Tolerance Limit on the Second Largest Order Statistic for a Fixed Number of Samples Dennis J. Beal source 5
SESUG 2014 Modeling Cognitive Processes of Learning with SAS Procedures Isaac Y. Li,
Yi-Hsin Chen,
Chunhua Cao,
Yan Wang		 source 11
SESUG 2014 More Hash: Some Unusual Uses of the SAS Hash Object Haikuo Bian,
David Maddox		 source 11
SESUG 2014 Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics Mihaela Ene,
Elizabeth A. Leighton,
Genine L. Blue,
Bethany A. Bell		 source 12
SESUG 2014 SAS Metadata Querying and Reporting Made Easy: Using SAS Autocall Macros Jiangtang Hu source 9
SESUG 2014 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
SESUG 2014 Secrets from a SAS Technical Support Guy: Combining the Power of the SAS Output Delivery System with Microsoft Excel Worksheets Chevell T. Parker source 22
SESUG 2014 Strimmed_t: A SAS Macro for the Symmetric Trimmed t Test Diep T. Nguyen,
Anh P. Kellermann,
Eun Sook Kim		 source 12
SESUG 2014 To foam or not to foam: A survival analysis of the foam head that forms when a soda is poured Kate Phillips source 16
SESUG 2014 Tricks and Tips for Using the Bootstrap in JMP Pro 11 Jason Brinkley source 13
SESUG 2014 Using Regression Model to Predict Cyclic Resistance Ratio at South Carolina Coastal Plain (SCCP) Emad Gheibi,
Sarah L. Gassman,
Abbas S. Tavakoli		 source 10
SESUG 2014 Using SAS to Analyze the Impact of the Affordable Care Act John J. Cohen source 12
SESUG 2014 Using SAS to Create a p-value Resampling Distribution for a Statistical Test Peter S. Wludyka source 12
SESUG 2014 Using SAS to Examine Mediator, Direct and Indirect Effects of Isolation and Fear on Social Support Using Baron& Kenny Combined with Bootstrapping Methods Abbas S. Tavakoli,
Sue P. Heiney		 source 12
SESUG 2014 Using SAS/STAT to implement a multivariate adaptive outlier detection approach to distinguish outliers from extreme values Paulo Macedo source 11
SESUG 2014 VIF Regression: A SAS Application to Feature Selection in Large Data Sets Ruiwen Zhang 5
SESUG 2014 Where in the World Are SAS/GRAPH Maps? An Exploration of the Old and New SAS Mapping Capacities Louise S. Hadden source 16
SESUG 2014 You've used FREQ, but have you used SURVEYFREQ? Charlotte Baker source 8
PHUSE EU 2014 A Vision for the Future: Core Competencies for Statisticians and Programmers [presentation] James R. Johnson source 26
PHUSE EU 2014 Big Data - Step towards High Performance Analytics Dhiraj Dabhi source
presentation source		 8
PHUSE EU 2014 Communication - Building the Invisible Bridge Anindita Bhattacharjee source
presentation source		 9
PHUSE EU 2014 Creating Graph Collections with Consistent Colours Using ODC Graphics Philip R. Holland source 14
PHUSE EU 2014 Data Challenges in Adaptive Trials Claudio Garutti source
presentation source		 5
PHUSE EU 2014 Evaluating the Tradeoff between Quality of Life through Quality-Adjusted Survival Analysis Lawrence Rasouliyan source
presentation source		 12
PHUSE EU 2014 From Gene Expression to Expression Cartography, Grade Correspondence Analysis Application in Class Comparison Studies Edyta Winciorek source
presentation source		 6
PHUSE EU 2014 How to Improve Your Figure. An Overview of Annotation Techniques in Graph Template Language [presentation] Konrad Zywno,
Bartosz Kutyła		 source 42
PHUSE EU 2014 Implementation of CDISC ADaM in the Pharmacokinetics Department Joanna Magielse,
Tineke Callant		 source
presentation source		 6
PHUSE EU 2014 Looking for SDTM Migration Specialist Angelo Tinazzi source
presentation source		 12
PHUSE EU 2014 MedDRA - Beyond that Basic AE Report. How SMQs and MedDRA Structure can Enhance Reporting Pamela J. Giese source
presentation source		 9
PHUSE EU 2014 Multiple Imputation: Better than Single Imputation in Pain Studies Ashik Chowdhury source
presentation source		 12
PHUSE EU 2014 NONMEM - A Programmers Point of View Raghu Kishor Koukuntla source
presentation source		 12
PHUSE EU 2014 Population Segmentation in a Healthcare Environment MaryAnne DePesquo source
presentation source		 5
PHUSE EU 2014 Presenting SAS Data Sets on the Web Using SAS ODS, JavaScript and jQuery Volker Harm source
presentation source		 13
PHUSE EU 2014 PROC EASTMONITOR - A SAS Add-on for Monitoring Adaptive Clinical Trials Sheetal Solanki,
Ajay Sathe		 source
presentation source		 15
PHUSE EU 2014 Small Sample Bayesian Factor Analysis Dirk Heerweghm source
presentation source		 18
PHUSE EU 2014 Submitting Summary Level Site Data: Overview, Implementation and Case Studies Robert F. Woolson,
Jeffrey M. Abolafia,
Ben Vaughn		 source
presentation source		 9
PHUSE EU 2014 The Quality System in Good Pharmacovigilance Practice (GVP) Veronique Chapalain source
presentation source		 9
PHUSE EU 2014 Unuttered Questions of Statistical Programmers Aparajita Dey source
presentation source		 10
MWSUG 2014 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
MWSUG 2014 A SAS Macro Using Parallel Genetic Algorithm to Automate Variable Selection Jinqiao Li,
Yi Cao,
Yanping Shen		 19
MWSUG 2014 Analyzing Collection Effectiveness using Incremental Response Modeling Ryan Burton 7
MWSUG 2014 Can you decipher the code? If you can, maybe you can break it Jayanth Iyengar 8
MWSUG 2014 Categorical AND Continuous - The Best of Both Worlds Kathryn Schurr,
Ruth Kurtycz		 60
MWSUG 2014 Common Method Variance Techniques Bradford R. Eichhorn 11
MWSUG 2014 Comparing regression, propensity matching and coarsened exact matching in healthcare observational studies using SAS: An example from the Medical Expenditure Panel Survey (MEPS) Douglas Thompson 16
MWSUG 2014 Design of Experiments (DOE) Using JMP Charles E. Shipp 3
MWSUG 2014 Examining the Factor Structure of the Revised Illness Perception Questionnaires (IPQ-R) among Underserved Type II Diabetic Patients Xueying (Carol) Li,
Amy McQueen,
Anjali D. Deshpande		 9
MWSUG 2014 Extreme SAS reporting II: Data Compendium and 5 Star Ratings Revisited Louise S. Hadden 15
MWSUG 2014 File Finder: Conditionally Processing Files from a Directory Using SAS Katrina Drager 10
MWSUG 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman 9
MWSUG 2014 How to Create a UNIX Space Management Report Using SAS Thomas Lehmann,
Matthew Shevrin		 7
MWSUG 2014 How To Use Latent Analyses of Survey Data in a Logistic Regression Model Deanna Naomi Schreiber-Gregory 9
MWSUG 2014 Prediction Improvement from Geostatistical Methodology in Regression Modeling For Census Tract Data Robert G. Downer 10
MWSUG 2014 Reducing the Bias: Practical Application of Propensity Score Matching in Healthcare Program Evaluation Amber Schmitz,
Jessica Navratil-Strawn,
Stephen Hartley,
Ronald J. Ozminkowski		 7
MWSUG 2014 Reporting The Facts: The ODSmemo macro suite for making reproducible RTF memos within SAS A. Rocio Lopez 15
MWSUG 2014 SAS 101 For Newbies--Not Too Little, Not Too Much--Just Right Ira Shapiro 42
MWSUG 2014 SAS Graphs with Multiple Y Axes - Some Useful Tips and Tricks Soma Ghosh 16
MWSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 12
MWSUG 2014 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo 19
MWSUG 2014 Understanding Change through Different Methodological Lens Jie Liao 12
MWSUG 2014 Visualization of Self-Reported Alcohol Use Data: A Timeline Followback Dashboard using Heatmaps, Time Series Plots, and HTML Hover-Text Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger		 11
MWSUG 2014 Where in the World Are SAS/GRAPH Maps? An Exploration of the Old and New SAS Mapping Capacities Louise S. Hadden 16
MWSUG 2014 WHERE, Oh, WHERE Art Thou? A Cautionary Tale for Using WHERE Statements and WHERE= Options Britney D. Gilbert 4
MWSUG 2014 Will You Smell Smoke When Your Data Are on Fire? The SAS Smoke Detector: Installing a Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes 25
PharmaSUG CN 2014 Calculation of Confidence Intervals for Odds Ratio and Binomial Ratio Using StatXact PROCs Halimu Haridona 7
PharmaSUG CN 2014 Collapsing Adverse Event Records Haiqiang Luo 7
PharmaSUG CN 2014 Monitoring Child Growth and Safety Profile using Growth Charts Rajesh Babu Moorakonda,
Mihir Gandhi		 9
PharmaSUG CN 2014 Submission of Pharmacokinetics (PK) Data in a CDISC Compliant Format Yu Zhu 9
WUSS 2014 A Hitchhiker's guide for performance assessment & benchmarking SAS applications Viraj R Kumbhakarna source 16
WUSS 2014 A Statistical and Visual Exploration of the Surveillance, Epidemiology, and End Results (SEER) Database Using SAS Christopher Yim source 10
WUSS 2014 Advanced Multiprocessing Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna source 17
WUSS 2014 Automate & Shrink SAS Programs Using DO Loops & Macros! Arun Akkinapalli source 3
WUSS 2014 Automation of Appending Reports: A Sexy New Look Bill Coar source 14
WUSS 2014 Best Practices: Subset Without Getting Upset Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 17
WUSS 2014 Breaking Eggs to Make Omelets: Distributing Analytic Effort with Scrambled Datasets Margaret Warton,
Howard Moffet,
Andrew Karter		 source 11
WUSS 2014 DATA Step MODIFY and UPDATE Statements: Do They Preserve Integrity Constraints? Baskar Anjappan source 6
WUSS 2014 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 8
WUSS 2014 Design of Experiments (DOE) Using JMP Charles E. Shipp source 3
WUSS 2014 Design of Experiments (DOE) Using JMP [presentation] Charles E. Shipp 16
WUSS 2014 Don't Let a Bad Date Ruin Your Day: Dealing with Invalid Dates in SAS Lucheng Shao source 9
WUSS 2014 Fuzzy Bootstrap Matching Dale Harrington source 9
WUSS 2014 Markov Chain Model Forecast for Interrelated Time Series Data Using SAS/IML Gongwei Chen source 10
WUSS 2014 Options in Estimating Nonlinear Mixed Models: Quadrature points and Approximation Methods Nate Smith,
Shelley A. Blozis		 source 7
WUSS 2014 Reanalysis of Ecological Data from the 1989 China Study Using SAS Enterprise Guide Thomas E. Billings source 17
WUSS 2014 Set Yourself Free - Use ODS Report Writing Technology in SAS Enterprise Guide Instead of Dynamic Data Exchange in PC SAS Robert Springborn source 12
WUSS 2014 Suggestions for Writing Better SAS User Group Papers Thomas E. Billings source 8
WUSS 2014 The SAS Hash Object in Action Paul M. Dorfman source 29
WUSS 2014 Using and Understanding LSMEANS and LSMESTIMATE David J. Pasta source 20
WUSS 2014 Using PROC FACTOR for variable inclusion in PROC SURVEYLOGISTIC: A Case Study Deanna Naomi Schreiber-Gregory source 35
WUSS 2014 Using SAS and the Centers for Disease Control and Prevention 2010 Natality Data to Estimate the Effect Size of Prenatal Visits on Preterm Birth Melissa Borelli source 10
WUSS 2014 Using SAS to do it all Chelsea Lofland,
Rebecca Ottesen		 source 16
PharmaSUG 2014 %ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures Qinlei Huang source 8
PharmaSUG 2014 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 15
PharmaSUG 2014 A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory source 23
PharmaSUG 2014 A SAS Macro to address PK timing variables issues Timothy J. Harrington source 14
PharmaSUG 2014 A SAS Macro to Evaluate Balance after Propensity Score Matching Erin Hulbert,
Lee Brekke		 source 12
PharmaSUG 2014 A Shout-out to Specification Review: Techniques for an efficient review of Programming Specifications Sajeet Pavate,
Jhelum Naik		 source 5
PharmaSUG 2014 Attain 100% Confidence in Your 95% Confidence Interval Indu Nair,
Binal Patel		 source 9
PharmaSUG 2014 Automation of Appending TLFs William Coar source 10
PharmaSUG 2014 Challenges in Processing Clinical Lab Data Alan Meier source 15
PharmaSUG 2014 Challenges of Processing Questionnaire Data from Collection to SDTM to ADaM and Solutions Using SAS Karin LaPann,
Terek J. Peterson		 source 20
PharmaSUG 2014 Come Out of Your Shell: A Dynamic Approach to Shell Implementation in Table and Listing Programs Paul Burmenko,
Tony Cardozo		 source 13
PharmaSUG 2014 Creating Define-XML version 2 with the SAS Clinical Standards Toolkit 1.6 Lex Jansen source 33
PharmaSUG 2014 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 1 Vincent DelGobbo source 19
PharmaSUG 2014 Defining Non-Inferiority Margins for Skin Adhesion Studies Marina Komaroff,
Sailaja Bhaskar		 source 12
PharmaSUG 2014 Developing ADaM Specifications to Embrace Define-XML 2.0.0 Requirements Lin Yan source 10
PharmaSUG 2014 Factor Analysis of Scale for Assessment of Negative Symptoms using SAS Software Ben Adeyi,
David Shen		 source 8
PharmaSUG 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 9
PharmaSUG 2014 Forging New SDTM Standards for In-Vitro Diagnostic (IVD) Devices: A Use-Case Carey G. Smoak,
Smitha Krishnamurthy,
Mansi Singh,
Sy J. Truong		 source 6
PharmaSUG 2014 Graphical Representation of Patient Profile for Efficacy Analyses in Oncology William Wu,
Xiaoxian Dai,
Linda Gau		 source 7
PharmaSUG 2014 Let Chi-Square Pass Decision to Fisher's Programmatically Linga Reddy Baddam,
Sudarshan Reddy Shabadu		 source 5
PharmaSUG 2014 Managing bulk SAS job submissions with post execution analysis and notification Bruce Kayton source 5
PharmaSUG 2014 Methodology for Non-Randomized Clinical Trials: Propensity Score Analysis Dan Conroy source 5
PharmaSUG 2014 Our Survival Confidence Intervals are not the Same! David W. Franklin source 6
PharmaSUG 2014 Process and Tools for Assessing Compliance with Standard Operating Procedures Ginger Redner,
Eunice Ndungu		 source 10
PharmaSUG 2014 Risk-Based Monitoring of Clinical Trials Using JMP Clinical Richard C. Zink,
Kelci J. Miclaus		 source 15
PharmaSUG 2014 Round Trip Ticket - Using the Define.xml file to Send and Receive your Study Specifications Julie A. Maddox source 10
PharmaSUG 2014 Route to SDTM Implementation in In-Vitro Diagnostic Industry: Simple or Twisted Carey G. Smoak,
Sofia Shamas,
Chowdagam Chaitanya,
Don Lim,
Girish Rajeev		 source 10
PharmaSUG 2014 Same Data, Separate MEANS - 'SORT' of Magic or Logic? Naina Pandurangi,
Seeja Shetty		 source 8
PharmaSUG 2014 SAS as a Tool to Manage Growing SDTM+ Repository for Medical Device Studies Julia Yang source 12
PharmaSUG 2014 Standardization of Confidence Intervals in PFS Tables - a Macro Approach John Saida Shaik,
Boxun Zhang		 source 4
PharmaSUG 2014 Streamline the Dual Antiplatelet Therapy Record Processing in SAS by Using Concept of Queue and Run-Length Encoding Kai Koo source 6
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen		 source 13
PharmaSUG 2014 The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction Ashwini S Erande,
Shaista Malik		 source 11
PharmaSUG 2014 The New Tradition: SAS Clinical Data Integration Vincent J. Amoruccio,
Janet E. Stuelpner		 source 18
PharmaSUG 2014 Times Can Be Tough: Taming DATE, TIME and DATETIME Variables Sajeet Pavate source 6
PharmaSUG 2014 WHERE, Oh, WHERE Art Thou? A Cautionary Tale for Using WHERE Statements and WHERE= Options Britney D. Gilbert source 4
SGF 2014 A Framework Based on SAS for ETL and Reporting Kevin Chung source 20
SGF 2014 A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory source 23
SGF 2014 A Risk Score Calculator for Short-Term Morbidity Following Hip Fracture Surgery Yubo Gao source 5
SGF 2014 A SAS Macro for Complex Sample Data Analysis Using Generalized Linear Models Paulo Henrique Dourado da Silva,
Alan Ricardo da Silva		 source 19
SGF 2014 A SAS Macro to Diagnose Influential Subjects in Longitudinal Studies Grant Schneider,
Randy Tobias		 source
zip		 18
SGF 2014 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Genine L. Blue		 source 19
SGF 2014 An Investigation of the Kolmogorov-Smirnov Nonparametric Test Using SAS Tison Bolen,
Dawit Mulugeta,
Jason Greenfield,
Lisa Conley		 source 8
SGF 2014 An Overview of Machine Learning with SAS Enterprise Miner Patrick Hall,
Jared Dean,
Ilknur Kaynar Kabul,
Jorge Silva		 source
zip		 24
SGF 2014 Analyzing Multilevel Models with the GLIMMIX Procedure Min Zhu source 18
SGF 2014 Analyzing U.S. Healthcare Cost and Use with SAS Paul Gorrell source 17
SGF 2014 Answer Frequently Asked SAS Usage Questions with the Help of RTRACE Airaha Chelvakkanthan Manickam source 12
SGF 2014 Application of Survey Sampling for Quality Control Yi Du source 8
SGF 2014 Association of Socio-Emotional Factors: Religious Affiliation, Depression to Suicidal Tendency Among Adolescent Girls Sesha Sai Ega,
Chandra Shekar Pulipati,
Venkata Rachapudi		 source 6
SGF 2014 Bayesian Framework in Early Phase Drug Development with SAS Examples Howard Liang source 4
SGF 2014 Building Gamer Segmentation in the Credit Card Industry Using SAS Enterprise Guide Yang Ge source 10
SGF 2014 Case-Level Residual Analysis in the CALIS Procedure Catherine Truxillo source 17
SGF 2014 Challenges of Processing Questionnaire Data from Collection to SDTM to ADaM and Solutions Using SAS Karin LaPann,
Terek J. Peterson		 source 19
SGF 2014 Check It Out! Versioning in SAS Enterprise Guide Joe M. Flynn,
Casey Smith,
Alex Song		 source 19
SGF 2014 Clustering and Predictive Modeling of Patient Discharge Records with SAS Enterprise Miner Linda Schumacher,
Goutam Chakraborty		 source 9
SGF 2014 CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics Joe Whitehurst,
Diane Hatcher		 source 16
SGF 2014 Confirmatory Factor Analysis and Structural Equation Modeling of Non-cognitive Assessments Using PROC CALIS Steven L. Holtzman source 11
SGF 2014 Customer Profiling for Marketing Strategies in a Healthcare Environment MaryAnne DePesquo source 7
SGF 2014 Developing Web Applications with SAS Stored Processes Philip A. Mason source 26
SGF 2014 Did My Coupon Campaign Accomplish Anything? An Application of Selection Models to Retailing Gunce Walton,
Kenneth Sanford		 source 11
SGF 2014 Ebony and Ivory: SAS Enterprise BI and SAS Visual Analytics Living in Perfect Harmony Ted Stolarczyk source 13
SGF 2014 Effective Risk Aggregation and Reporting Using SAS Wei Chen,
Jimmy Skoglund,
Srinivasan Iyer		 source 9
SGF 2014 Empowering Clinical Research Staff with SAS Enterprise Guide Christopher W. Schacherer source 20
SGF 2014 Empowering the SAS Programmer: Understanding Basic Microsoft Windows Performance Metrics by Customizing the Data Results in SAS/GRAPH Software John Maxwell source 12
SGF 2014 Ex-Ante Forecast Model Performance with Rolling Simulations Michael J. Leonard,
Ashwini Dixit,
Udo Sglavo		 source 18
SGF 2014 Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure Rob Agnelli source 17
SGF 2014 Extracting Key Concepts from Unstructured Medical Reports Using SAS Text Analytics and SAS Visual Analytics Greg Massey,
Radhikha Myneni,
Adrian Mattocks,
Eric C. Brinsfield		 source 9
SGF 2014 Five Ways to Flip-Flop Your Data Joshua M. Horstman source 9
SGF 2014 From Traffic to Twitter--Exploring Networks with SAS Visual Analytics Falko Schulz,
Nascif Abousalh-Neto		 source 32
SGF 2014 Getting Started with the SAS/IML Language Rick Wicklin source 21
SGF 2014 Got Randomness? SAS for Mixed and Generalized Linear Mixed Models David A. Dickey source 12
SGF 2014 High-Performance Forecasting Using SAS Grid Manager Michael J. Leonard,
Cheryl Doninger,
Udo Sglavo		 source 6
SGF 2014 How to Create a SAS Enterprise Guide Custom Task to Get Data from a SharePoint List into a SAS Data Set Bill Reid source 17
SGF 2014 Improving the Thermal Efficiency of Coal-Fired Power Plants: A Data Mining Approach Thanrawee Phurithititanapong,
Jongsawas Chongwatpol		 source 12
SGF 2014 Integrating and Using Hierarchical Vocabularies in SAS Glenn Colby source 22
SGF 2014 Intermittent Demand Forecasting and Multi-tiered Causal Analysis Edward Katz source 11
SGF 2014 Leveraging Advanced Analytics to Create Customer-Centric Assortments Christopher Matz source 10
SGF 2014 Leveraging Publicly Available Data in the Classroom Using SAS PROC SURVEYLOGISTIC Tyler C. Smith,
Besa Smith		 source 18
SGF 2014 Make It Possible: Create Customized Graphs with Graph Template Language Wen Song,
Ge Wu		 source 6
SGF 2014 Making Comparisons Fair: How LS-Means Unify the Analysis of Linear Models Weijie Cai source 22
SGF 2014 Making the Log a Forethought Rather Than an Afterthought Emmy V Pahmer source 10
SGF 2014 Matching Rules: Too Loose, Too Tight, or Just Right? Richard Cadieux,
Daniel R. Bretheim		 source 11
SGF 2014 Measures of Fit for Logistic Regression Paul D. Allison source 12
SGF 2014 Medical Scoring for Breast Cancer Recurrence Nurul Husna Jamian,
Yap Bee Wah,
Nor Aina Emran		 source 13
SGF 2014 Model Variable Selection Using Bootstrap Decision Tree David J. Corliss source 7
SGF 2014 Modeling Fractional Outcomes with SAS Wensui Liu,
Jason Xin		 source 17
SGF 2014 Modeling Loss Given Default in SAS/STAT Xiao Yao,
Jonathan Crook,
Galina Andreeva		 source 9
SGF 2014 Modeling Ordinal Responses for a Better Understanding of Drivers of Customer Satisfaction Jorge Alejandro,
Sharon Kim		 source 8
SGF 2014 Multivariate Ratio and Regression Estimators Alan Ricardo da Silva source 13
SGF 2014 P-values: Democrats or Dictators? Brenda Beaty,
Michelle Torok		 source 4
SGF 2014 Parameter Estimation of Cognitive Attributes Using the Crossed Random-Effects Linear Logistic Test Model with PROC GLIMMIX Chunhua Cao,
Yan Wang,
Yi-Hsin Chen,
Isaac Y. Li		 source 12
SGF 2014 Plotting Differences Among LS-means in Generalized Linear Models Robin High source 14
SGF 2014 Power and Sample Size for MANOVA and Repeated Measures with the GLMPOWER Procedure John M. Castelloe source 20
SGF 2014 Prescription for Visualization: Take One SAS Graph Template Language Graph before Seeing the Patient Radhikha Myneni,
Eric C. Brinsfield		 source 9
SGF 2014 PROC STREAM and SAS Server Pages: Generating Custom HTML Reports Donald J. Henderson source 18
SGF 2014 PROC STREAM and SAS Server Pages: Generating Custom User Interfaces Donald J. Henderson source 13
SGF 2014 Productionalizing SAS for Enterprise Efficiency At Kaiser Permanente [presentation] Ryan Henderson,
Karl Petith		 source 6
SGF 2014 Programmatic Challenges of Dose Tapering Using SAS Iuliana Barbalau,
Chen Shi,
Yang Yang		 source 9
SGF 2014 Regression Analysis of Duration and Severity Data: New Capabilities with SAS Software Joseph C. Gardiner source 19
SGF 2014 Risk Factors and Outcome of Spinal Epidural Abscess from Incident Hemodialysis Patients from the United States Renal Data System between 2005 and 2008 Chan Jin,
Jennifer White,
Rhonda Colombo,
Stephanie Baer,
Usman Afza,
M. Kheda,
Lu Huber,
Puja Chebrolu,
N. Stanley Nahman,
Kristina Kintziger		 source 4
SGF 2014 Risk-Based Monitoring of Clinical Trials Using JMP Clinical Richard C. Zink source 14
SGF 2014 SAS 9.4 Web Application Performance: Monitoring, Tuning, Scaling, and Troubleshooting Rob Sioss source 17
SGF 2014 SAS Admins Need a Dashboard, Too Patricia S. Aanderud,
Michelle Homes		 source 20
SGF 2014 SAS for Bayesian Mediation Analysis Miočević Milica,
David P. MacKinnon		 source 11
SGF 2014 SAS UNIX Utilities and What They Can Do for You Jerry C. Pendergrass source 12
SGF 2014 Secret Experts Exposed: Using Text Analytics to Identify and Surface Subject Matter Experts in the Enterprise Richard Crowell,
Saratendu Sethi,
Xu Yang,
Chunqi Zuo,
Fruzsina Veress		 source 10
SGF 2014 Secrets from a SAS Technical Support Guy: Combining the Power of the Output Deliver System with Microsoft Excel Worksheets Chevell T. Parker source 22
SGF 2014 Selecting Peer Institutions with Cluster Analysis Diana D. Suhr source 12
SGF 2014 Seven Steps to a SAS Enterprise BI Proof-of-Concept Sheryl Weise source 13
SGF 2014 Simulating Portfolio Losses from Adverse Events: Applications to the Insurance and Finance Industries Mahesh V. Joshi,
Jan Chvosta		 source
zip		 20
SGF 2014 Something for Nothing! Converting Plots from SAS/GRAPH to ODS Graphics Philip R. Holland source 17
SGF 2014 Stylish Waterfall Graphs Using SAS 9.3 and SAS 9.4 Graph Template Language Setsuko Chiba source 6
SGF 2014 Test for Success: Automated Testing of SAS Metadata Security Implementations Paul Homes source 13
SGF 2014 Text Mining Economic Topic Sentiment for Time Series Modeling Michael P. Dessauer,
Justin Kauhl		 source 14
SGF 2014 Text Mining Reveals the Secret of Success: Identification of Sales Determinants Hidden in Customers' Opinions Rafal Wojdan source 18
SGF 2014 The Desert and the Dunes: Finding Oases and Avoiding Mirages with the SAS Visual Analytics Explorer Nascif Abousalh-Neto source 15
SGF 2014 The Many Ways of Creating Dashboards Using SAS Mark Bodt source 16
SGF 2014 The RAKE-TRIM Algorithm: Reducing Variance and Bias in Sampling Weights Louis Rizzo source 8
SGF 2014 The Role of Customer Response Models in Customer Solicitation Center's Direct Marketing Campaign Arun Mandapaka,
Amit Kushwah,
Goutam Chakraborty		 source 12
SGF 2014 The SAS Hash Object: It's Time To .find() Your Way Around Peter W. Eberhardt source 17
SGF 2014 Trimmed_t: A SAS Macro for the Trimmed T-Test Patricia Rodríguez de Gil,
Anh P. Kellermann,
Diep T. Nguyen,
Eun Sook Kim,
Jeffrey D. Kromrey		 source 13
SGF 2014 Using SAS to Analyze the Impact of the Affordable Care Act John J. Cohen,
Meenal Sinha		 source 12
SGF 2014 Using SAS to Examine Internal Consistency and to Develop Community Engagement Scores Renee Gennarelli,
Melody S. Goodman		 source 10
SGF 2014 Using SAS/STAT Software to Validate a Health Literacy Prediction Model in a Primary Care Setting Lucy D'Agostino McGowan,
Melody S. Goodman,
Kimberly A. Kaphingst		 source 7
SGF 2014 VFORMAT Lets SAS Do the Format Searching Peter Crawford source 6
SGF 2014 What's New in SAS Enterprise Miner 13.1 Jared Dean,
Jonathan Wexler		 source 16
WUSS 2013 A Graphical Approach to Advise an Appropriate Statistical Analysis Bret Moulton,
Robin Jeffries		 source 7
WUSS 2013 A Tutorial on PROC LOGISTIC Arthur X. Li source 19
WUSS 2013 Access to Relational Databases Using SAS Frederick E. Pratter source 10
WUSS 2013 Array: Simplify Coding Kai Yang source 5
WUSS 2013 Automated and Customized Reports as a Single Image File Using Graph Template Language (GTL): A Case Study of Benchmarking Reports in Medical Research Monarch Shah,
Ginny Lai,
Eric P. Elkin		 source 11
WUSS 2013 Competing risks regression: Big Data issues from modest sample sizes Katharine Kirby,
Deborah Barnes,
W. John Boscardin		 source 4
WUSS 2013 Constructing Begin-End Date Intervals from Event or As-of Dates in a SAS DATA Step Thomas E. Billings source 8
WUSS 2013 Converting Entity-Attribute-Value (EAV) Source Tables into Useful Data with SAS DATA Steps Thomas E. Billings,
Baskar Anjappan,
Junling Ji		 source 9
WUSS 2013 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 8
WUSS 2013 Dynamic Regression in ARIMA Modeling Ross Bettinger source 11
WUSS 2013 Factor Analysis: Quit being a whiny baby and learn it with SAS Enterprise Guide AnnMaria De Mars source 9
WUSS 2013 Fly Over, Drill Down and Explore! Suzanne Brown source 6
WUSS 2013 Graphical Representation of Patient Profile for Efficacy Analyses in Oncology William Wu,
Xiaoxian Dai,
Linda Gau		 source 7
WUSS 2013 How Best to Write a Loop in the DATA Step Arthur X. Li source 19
WUSS 2013 Need to Find a Date? William Coar source 8
WUSS 2013 Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building Yinghui Miao,
Irena Stijacic Cenzer,
Katharine Kirby,
W. John Boscardin		 source 13
WUSS 2013 Our Quartiles Don't Agree! David W. Franklin source 6
WUSS 2013 SAS Web Editor, is it the right choice for you? Rebecca Ottesen,
Jamelle Simmons		 source 9
WUSS 2013 Sharing SAS User-Related Information via Creative Commons Copyright Licenses Thomas E. Billings source 6
WUSS 2013 Simulation in SAS with Comparisons to R Chelsea Lofland,
Rebecca Ottesen		 source 25
WUSS 2013 Solve Complex Business Challenges by Leveraging Advanced OLAP Cube Techniques and MDX Programming Stephen M. Overton source 14
WUSS 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo source 19
WUSS 2013 Subsampling with a Survey Sampling Design? DOMAIN Idea is To Get an Appropriate Variance Estimate Anita Rocha source 6
WUSS 2013 The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction using ARRAYS, PROC FREQ and PROC LOGISTIC" Ashwini Erande,
Shaista Malik		 source 11
WUSS 2013 Tools for Imputing Missing Data Taylor Lewis source 16
WUSS 2013 Using SAS to Create Custom Tables and Presentations in Microsoft Office through Dynamic Data Exchange (DDE) Kathryn Martin-Fingar source 20
SCSUG 2013 Practical Array Usage with String Search Charles Basham source 5
SCSUG 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo source 19
SCSUG 2013 Using PROC STANDARD and PROC SCORE to impute missing multivariate values Paul Montagna source 8
SESUG 2013 A Hitchhiker's guide for performance assessment & benchmarking SAS applications Viraj R Kumbhakarna source 16
SESUG 2013 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Phillip R. Sherlock,
Genine L. Blue		 source 13
SESUG 2013 Analyzing Multiway Models with ANOM Slicing Peter S. Wludyka source 11
SESUG 2013 Area under a Receiving Operating Characteristic (ROC) Curve: comparing parametric estimation, Monte Carlo simulation and numerical integration Receiver Operating Characteristic source 16
SESUG 2013 Array Applications in Determining Periodontal Disease Measurement Liang Wei source 10
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SESUG 2013 Evaluating the Accuracy Assessment Methods of a Thematic Raster through SAS Resampling Techniques and GTL Visualizations Robert Seffrin source 7
SESUG 2013 Evaluating the Performance of the SAS GLIMMIX Procedure for the Dichotomous Rasch model: A Simulation Study Isaac Y. Li,
Yi-Hsin Chen,
Jeffrey D. Kromrey		 source 9
SESUG 2013 Fit Discrete Distributions via SAS Macro Fit Discrete Distributions source 5
SESUG 2013 GEN_OMEGA2: A SAS Macro for Computing the Generalized Omega-Squared Effect Size Associated with Analysis of Variance Models Squared Effect Size Associated source 10
SESUG 2013 Help! I Need to Report a Crime! Why is PROC REPORT So Hard to Use? Dessa Overstreet,
Decision Street		 source 12
SESUG 2013 I'm a SAS Programmer. Why should I JMP? Barbara B. Okerson source 12
SESUG 2013 Introduction to Interactive Drill Down Reports on the Web Michael G. Sadof source 27
SESUG 2013 KAPLAN-MEIER ANALYSIS: A PRACTICAL GUIDE FOR PROGRAMMERS Madhi Saranadasa source 7
SESUG 2013 Let SAS Do the Coding for You! Robert Williams source 9
SESUG 2013 Let the Code Report the Running Time Zi Feng source 4
SESUG 2013 Maximizing Confidence and Coverage for a Nonparametric Upper Tolerance Limit for a Fixed Number of Samples Dennis J. Beal source 5
SESUG 2013 Not Enough Time To Catch Extreme Observations? Flag and Report with Macros and Arrays Jamelle Simmons source 11
SESUG 2013 Parallel processing techniques for performance improvement for SAS processes: Part II Viraj R Kumbhakarna source 17
SESUG 2013 PROC FORMAT in DATA Step mathematics Elizabeth Schreiber source 5
SESUG 2013 PROC SURVEYSELECT as a Tool for Drawing Random Samples Taylor Lewis source 12
SESUG 2013 SAS Macros CORR_P and TANGO: Interval Estimation for the Difference Between Correlated Proportions in Dependent Samples Patricia Rodríguez de Gil,
Jeanine L. Romano,
Thanh Pham,
Diep T. Nguyen,
Jeffrey D. Kromrey,
Eun Sook Kim		 source 9
SESUG 2013 SAS Web Editor, is it the right choice for you? Rebecca Ottesen,
Jamelle Simmons		 source 9
SESUG 2013 Seven Steps to a SAS EBI Proof-of-Concept Project Sheryl Weise source 9
SESUG 2013 Small Sample Equating: Best Practices using a SAS Macro Small Sample source 14
SESUG 2013 The Power of Combining Data with the PROC SQL Stacey Slone source 6
SESUG 2013 Using JMP Partition to Grow Decision Trees in Base SAS Mira Shapiro source 16
SESUG 2013 Using Predetermined Factor Structures to Simulate a Variety of Data Conditions Kevin Coughlin,
Fort Myers		 source 12
PHUSE EU 2013 Around the World in Three Statistical Models: Determing the Level of Measurement Invariance Across Countries of a PRO Instrument Dirk Heerwegh source
presentation source		 29
PHUSE EU 2013 Bayesian Statistics: Concept and Bayesian Capabilities in SAS Mark Janssens source
presentation source		 15
PHUSE EU 2013 Computation of Cls for Binomial Proportions in SAS and its Practical Difficulties Jose Abraham source
presentation source		 8
PHUSE EU 2013 Economic Evaluation in Clinical Trials. You Can Do it with SAS Artur Usov source
presentation source		 12
PHUSE EU 2013 Extensions of Cox Model for Non-Proportional Hazards Purpose Jadwiga Borucka source
presentation source		 10
PHUSE EU 2013 Generic Functions in R Illustrated by Examples for the Survival Package [presentation] Martin Gregory source 24
PHUSE EU 2013 Mission Possible: Your Assignment is to Validate Output for a Study Susan Fehrer Coulson source
presentation source		 7
PHUSE EU 2013 Multivariate Bioequivalence Shital Agawane,
Sanjukta Roy		 source
presentation source		 8
PHUSE EU 2013 Posch-Bauer Seamless Test with SAS Antonio Nieto,
Javier Gómez		 source
presentation source		 4
PHUSE EU 2013 ProjectTrackItL Automate your Project using SAS Abhishek Bakshi source
presentation source		 9
PHUSE EU 2013 Round Trip Ticket - Using the Define.xml file to Send and Receive your Study Specifications Julie A. Maddox source
presentation source		 10
PHUSE EU 2013 SAS Predictive and Visual Analytics: Software Demonstration [presentation] Andy Bayliss source 9
PHUSE EU 2013 The AZ-PLM Nausea Study: A Novel Patient-Centric Collaboration Jim Weatherall,
Alderley Park		 source
presentation source		 10
PHUSE EU 2013 Thorough QTc Studies: Patients at Heart... Marc Derycke,
Jeans-Otto Andreas		 source 7
PHUSE EU 2013 Two-way Ticket, Please...All aboard the SAS Clinical Standards Toolkit 1.5 Express Lex Jansen source
presentation source		 2
PHUSE EU 2013 Using the SAS Intelligence Platform for Clinical Trials Programming Melissa R. Martinez source 4
PHUSE EU 2013 Utilising Data Warehousing to Validate Clinical Trial Projects and to Select and Recruit Patients [presentation] Tim Armitage source 39
MWSUG 2013 A Tutorial on PROC LOGISTIC Arthur X. Li 19
MWSUG 2013 Advanced Multithreading Techniques for Performance Improvement of SAS Processes Viraj R Kumbhakarna 17
MWSUG 2013 Adventures in Path Analysis and Preparatory Analysis Brandy R. Sinco,
Phillip L. Chapman		 19
MWSUG 2013 Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ Taylor Lewis 20
MWSUG 2013 Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS Taylor Lewis 14
MWSUG 2013 Building a Better Bar Chart with SAS Graph Template Language Perry Watts 22
MWSUG 2013 Dealing with Data below the Detection Limit: Limit Estimation and Data Modeling Mark Bailey,
Diane K. Michelson		 21
MWSUG 2013 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2013 Information Value Statistic Bruce S. Lund,
David Brotherton		 18
MWSUG 2013 Insurance Designation Randomization Application or How to Automate Your Bragging Irvin Snider 9
MWSUG 2013 Marrying Customer Intelligence with Customer Segmentations to Drive Improvements to Your CRM Strategy Phil Krauskopf 8
MWSUG 2013 Power Trip: A Road Map of PROC POWER Melissa Plets,
Julie Strominger		 4
MWSUG 2013 PROC SURVEYSELECT as a Tool for Drawing Random Samples Taylor Lewis 12
MWSUG 2013 Residential Energy Efficiency and the Principal-Agent Problem Ryan Anderson 11
MWSUG 2013 Reuse, Don't Reinvent: Extending Model Selection Using Recursive Macro Anca M Tilea,
Philip L Francis III		 5
MWSUG 2013 Statistical Models for Proportional Outcomes Wensui Liu,
Kelly Zhao		 17
MWSUG 2013 Use SAS/ETS to Forecast Credit Loss for CCAR Xinpeng (Tom) Wang 4
MWSUG 2013 Using the SAS Projman Application for Scheduling Projects Jon M Patton 13
NESUG 2013 An Animated Guide: An Introduction to Neural Nets: Russell M. Lavery 12
NESUG 2013 An Introduction to Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
NESUG 2013 Analyzing Continuous Variables from Complex Survey Data Using PROC SURVEYMEANS Taylor Lewis 15
NESUG 2013 Analyzing the Safewalk Program with SAS: Saving Shelter Dogs One Walk at a Time Louise S. Hadden,
Terri Bright		 12
NESUG 2013 Behind the Scenes with SAS: Using Custom Graphics in SAS Output Louise S. Hadden 14
NESUG 2013 Constructing a Table of Survey Data with Percent and Confidence Interval in every Direction David Izrael,
Sarah Ball,
Sara Donahue		 7
NESUG 2013 Enriched Benefits for Better Graphs from Combining GTL Template and ODS Style Yu Yang,
John He		 14
NESUG 2013 How to Handle Binomial Proportion with Zero Frequency Tulin Shekar 11
NESUG 2013 Making Sense of PROC TABULATE Jonas V. Bilenas 15
NESUG 2013 Measuring Internal Consistency of Community Engagement using the ALPHA option of PROC CORR Renee Gennarelli,
Melody S. Goodman		 7
NESUG 2013 Model Variable Selection Using Bootstrapped Decision Tree David J. Corliss 8
NESUG 2013 Need a little SAS help or a knowledge boost? There's a URL for that. David Lawrence 3
NESUG 2013 Ouch, how did that get here? The pitfalls of merging ... [presentation] Nancy McGarry 10
NESUG 2013 Practical Solutions for Pagination, Indention, and Mixed-Text Alignment in ODS RTF Word Documents Hui Song 7
NESUG 2013 Proc SurveyCorr Jessica R. Hampton 7
NESUG 2013 PROC SURVEYSELECT as a Tool for Drawing Random Samples Taylor Lewis 14
NESUG 2013 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing,
Ray Pass		 23
NESUG 2013 So your data is on multiple servers? No worries, SAS can help. David Lawrence 4
NESUG 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo 19
NESUG 2013 Understanding the outliers in healthcare expenditure data Gandhi Bhattarai 15
NESUG 2013 Using PROC GLIMMIX and PROC SGPLOT to Demonstrate County-level Racial Disparities in Obesity in North Carolina Lucy D'Agostino McGowan,
Melody S. Goodman		 9
NESUG 2013 Using SAS Metadata as a Key Performance Indicator! Vincent J. Amoruccio 11
NESUG 2013 Using SAS PROC IMPORT to Read CMS Hospital Compare and HCAHPS Data in Support of a Hospital Pay-for-Performance Program Michael Cunningham,
Don Colarosa		 13
NESUG 2013 Using the SAS ODS Report Writing Interface to Produce Codebooks for Survey Data Nancy Cole,
Cassandra Baxter		 20
NESUG 2013 Where in the World Are SAS/GRAPH Maps? An Exploration of the Old and New SAS Mapping Capacities Louise S. Hadden 16
PharmaSUG 2013 A Strategy to Ensure Non-Estimable Confidence Intervals Having Equal Lower and Upper Confidence Limits are Displayed Correctly Claudia Jimenez-Castro source 5
PharmaSUG 2013 Access to Relational Databases Using SAS Frederick E. Pratter source 10
PharmaSUG 2013 An alternate log axis using SAS PROC GPLOT Lucius Reinbolt source 7
PharmaSUG 2013 Bayesian Analysis of Survival Data with SAS PHREG Procedure Ryan Brady source 8
PharmaSUG 2013 Building Traceability for End Points in Analysis Data Sets Using SRCDOM, SRCVAR, and SRCSEQ Triplet Xiangchen (Bob) Cui,
Tathabbai Pakalapati,
Qunming Dong		 source 12
PharmaSUG 2013 Considerations in the Use of Timing Variables in Submitting SDTM-Compliant Datasets Jerry Salyers,
Richard Lewis,
Fred Wood		 source 6
PharmaSUG 2013 Customizing Survival Plot Using ODS Graphics Template Language Fang Dong source 10
PharmaSUG 2013 Data Visualization Power Tools: Expedite the Easy, Implement the Difficult, or Handle Big Data LeRoy Bessler source 68
PharmaSUG 2013 Doctoring Your Clinical Trial with Adaptive Randomization: SAS Macros to Perform Adaptive Randomization Jenna Colavincenzo source 9
PharmaSUG 2013 Experiences in Preparing Summary Level Clinical Site Data within NDA's Submission for FDA's Inspection Planning Xiangchen (Bob) Cui source 19
PharmaSUG 2013 How MEAN is T-test? Naina Pandurangi source 4
PharmaSUG 2013 Leveraging SDTM Standards to Cut Datasets at Any Visit Anthony L. Feliu,
Stephen W. Lyons		 source 12
PharmaSUG 2013 Mapping Unique Aspects of Implantable Medical Device Study Data to CDISC SDTM Medical Device Domains Timothy L Bullock,
Sini Nair,
Ramkumar Krishnamurthy,
Todd M. Gross		 source 12
PharmaSUG 2013 MedDRA - Beyond that Basic AE Report. How SMQs and MedDRA Structure can Enhance Reporting Pamela J. Giese source 10
PharmaSUG 2013 Mission Possible: Your Assignment is to Validate Output for a Study Susan Fehrer Coulson,
Kevin R. Coulson		 source 7
PharmaSUG 2013 Oh Quartile, Where Art Thou? David W. Franklin source 5
PharmaSUG 2013 Programming Validation Tips prior to using OpenCDISC validator Dany Guerendo source 12
PharmaSUG 2013 Reliability Assessment of Image Data in Oncology and Psychology Studies Li Zhang,
David Shen,
Gary Chen		 source 7
PharmaSUG 2013 SAS Programmer to Clinical SAS Programmer Gayatri Karkera,
Nehan Mohan		 source 7
PharmaSUG 2013 Some Strategies for Validating Your Data before Submission Frank L. Roediger,
Sandeep Juneja		 source 8
PharmaSUG 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo source 19
PharmaSUG 2013 Taking a Census in Utero: An Introduction to Pregnancy Registries with an Emphasis on Identifying Multiple Gestations Britney D. Gilbert source 8
PharmaSUG 2013 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
PharmaSUG 2013 Using the SAS Clinical Standards Toolkit 1.5 to Import CDISC ODM Files Lex Jansen source 28
SGF 2013 %MIXED_FIT: A SAS Macro to Assess Model Fit and Adequacy for Two-Level Linear Models Bethany A. Bell,
Mihaela Ene,
Whitney Smiley		 source
pdf		 8
SGF 2013 10-Minute JMP George J. Hurley source 11
SGF 2013 30 in 20 Things You May Not Know about SAS Tim Berryhill source 8
SGF 2013 A Day in the Life of Data - Part 3 Peter Crawford source 8
SGF 2013 A SAS Macro for Generating a Set of All Possible Samples with Unequal Probabilities without Replacement Alan Ricardo da Silva,
Igor Ferreira do Nascimento		 source
pdf		 10
SGF 2013 Analysis of Change in Sentiments towards Chick-fil-A after Dan Cathy?s Statement about Same-Sex Marriage Using SAS Text Miner and SAS Sentiment Analysis Studio View Paper View Poster Goutam Chakraborty,
Jeffin Jacob,
Swati Grover		 source
pdf		 12
SGF 2013 Analyzing the Safewalk Program with SAS: Saving Shelter Dogs One Walk at a Time Louise S. Hadden,
Terri Bright		 source
pdf		 12
SGF 2013 Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP Richard C. Zink source 13
SGF 2013 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson source 36
SGF 2013 Automated and Customized Reports as a Single Image File Using Graph Template Language (GTL): A Case Study of Benchmarking Reports in Medical Research Eric P. Elkin,
Ginny Lai,
Monarch Shah		 source 11
SGF 2013 Behind the Scenes with SAS: Using Custom Graphics in SAS Output Louise S. Hadden source
pdf		 13
SGF 2013 Bigger Data Analytics: Using SAS on Aster Data and Hadoop John Cunningham,
Momolue Kiadii		 source 13
SGF 2013 Bridging the Gap Between SAS Applications Developed by Business Units and Conventional IT Production Euwell Bankston,
Thomas E. Billings		 source 10
SGF 2013 Bringing Churn Modeling Straight to the Source: SAS and Teradata In-Database Model Development Jonathan Wexler,
Karl Krycha		 source 9
SGF 2013 Building Traceability for End Points in Analysis Data Sets Using SRCDOM, SRCVAR, and SRCSEQ Triplet Qunming Dong,
Tathabbai Pakalapati,
Xiangchen (Bob) Cui		 source
pdf		 12
SGF 2013 Calculating Subset-Weighted Analysis in PROC SURVEYFREQ and PROC GENMOD David M. Thompson,
Jessica Hale,
Paul Darden		 source
pdf		 7
SGF 2013 Cascading Style Sheets: Breaking Out of the Box of ODS Styles Kevin D. Smith source 38
SGF 2013 Checking Out Your Dates with SAS Christopher J. Bost source 5
SGF 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SGF 2013 CLISTS: Improve Efficiency of TSO Applications Using Mainframe SAS Russell Hendel source 6
SGF 2013 Coaching SAS Beginner Programmers: Common Problems and Some Solutions Peter Timusk source 4
SGF 2013 Commuting Time and Accessibility in a Joint Residential Location, Workplace, and Job Type Choice Model Ignacio A. Inoa,
Nathalie Picard,
André de Palma		 source 13
SGF 2013 Considerations and Techniques for Analyzing Domains of Complex Survey Data Taylor Lewis source 12
SGF 2013 Considerations for Creating an In-House SAS User Group in a Geographically Disbursed Organization Stefanie Reay source 4
SGF 2013 Create Your Own Client Apps Using SAS Integration Technologies Chris Hemedinger source 15
SGF 2013 Creating Clark Error Grid with SAS/GRAPH, the SAS/GRAPH Annotate Facility, and SAS Macro Applications John Shin,
Yongyin Wang		 source 11
SGF 2013 Creating Graph Collections with Consistent Colors Using ODS Graphics? Philip R. Holland source 14
SGF 2013 Data Fitness: A SAS Macro-based Application for Data Quality of Large Health Administrative Data Mahmoud Azimaee source 12
SGF 2013 Data Merging and Visualization to Identify Associations Between Environmental Factors and Disease Outbreaks Azhar Nizam,
Neeta Shenvi,
Xin Zhang		 source 12
SGF 2013 Data Mining of U.S. Patents: Research Trends of Major Technology Companies Ken Potter,
Robert N. Hatton		 source 11
SGF 2013 Deciphering Emoticons for Text Analytics: A Macro-Based Approach Chad Atkinson source 15
SGF 2013 Detecting Cross-Channel Fraud Using SAS Krutharth Kumar Peravalli Venkata Naga,
Srikar Rayabaram		 source 9
SGF 2013 DICHOTOMIZED_D: A SAS Macro for Computing Effect Sizes for Artificially Dichotomized Variables Aarti P. Bellara,
Harold Holmes,
Isaac Y. Li,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Yi-Hsin Chen		 source 12
SGF 2013 Do Not Let a Bad Date Ruin Your Day Lucheng Shao source 9
SGF 2013 Doctoring Your Clinical Trial with Adaptive Randomization: SAS Macros to Perform Adaptive Randomization Jenna Colavincenzo source 9
SGF 2013 Escape from Big Data Restrictions by Leveraging Advanced OLAP Cube Techniques Stephen M. Overton source 14
SGF 2013 Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples Irena Stijacic Cenzer,
W. John Boscardin,
Katharine Kirby,
Yinghui Miao		 source 12
SGF 2013 Examining Mediator and Indirect Effects of Loneliness in Social Support on Social Well-Being Using the Baron and Kenny Method and a Bootstrapping Method Abbas S. Tavakoli,
Sue P. Heiney		 source 12
SGF 2013 Extraction, Transformation, and Loading (ETL) for Outcome Measures of Workers? Compensation Benefits Mike Maier source 10
SGF 2013 Gee! No, GTL! Visualizing Data With The SAS Graph Template Language Ted Conway source
pdf		 5
SGF 2013 GEN_ETA2: A SAS Macro for Computing the Generalized Eta-Squared Effect Size Associated with Analysis of Variance Models Anh P. Kellermann,
Jeanine L. Romano,
Jeffrey D. Kromrey,
Patrice Rasmussen,
Patricia Rodríguez de Gil,
Thanh Pham,
Yi-Hsin Chen		 source
pdf		 10
SGF 2013 Getting Started with the SAS/IML Language Rick Wicklin source 21
SGF 2013 Grand Designs: Why It Pays to Think About Technical Architecture Design Before You Act Simon Williams source 18
SGF 2013 GTL to the Rescue! Lelia McConnell source 20
SGF 2013 Here Comes Your File! File-Watcher Tool with Automated SAS Program Trigger Rajbir Chadha source
pdf		 13
SGF 2013 Horizontal Data Sorting and Insightful Reporting: A Useful SAS Technique Amanda Lin,
Justin Jia		 source 14
SGF 2013 Introducing and Producing Thunderstorm or Rain-drop Scatter Plots Using the SAS/GRAPH Annotate Facility Charlie Liu source 13
SGF 2013 Joint Modeling of Mixed Outcomes in Health Services Research Joseph C. Gardiner source 16
SGF 2013 Knowing Me, Knowing My UI (ah-haa): Understanding SAS 9.3 and SAS 9.4 Desktop and Web Client Application Usage Within Your Organization Edoardo Riva,
Simon Williams		 source 15
SGF 2013 Line-Sampling Macro for Multistage Sampling Charley Jiang,
James Lepkowski,
James Wagner,
Richard Valliant		 source 10
SGF 2013 Markov Chains and Zeros in My Data: Bayesian Approaches in SAS That Address Zero Inflation Matthew Russell source 9
SGF 2013 Maximizing the Power of Hash Tables David J. Corliss source 8
SGF 2013 Missing No More: Using the MCMC Procedure to Model Missing Data Fang K. Chen source 23
SGF 2013 Multilevel Reweighted Regression Models to Estimate County-Level Racial Health Disparities Using PROC GLIMMIX Lucy D'Agostino,
Melody S. Goodman		 source 7
SGF 2013 Parallel Multistart Nonlinear Optimization with PROC OPTMODEL Edward P. Hughes,
Tao Huang,
Yan Xu		 source 12
SGF 2013 Popular Tips and Tricks to Help You Use SAS Web Report Studio More Efficiently Keith Myers source 13
SGF 2013 Predicting Health Care Expenditures with the MCMC Procedure Gregory Watson source 12
SGF 2013 Predicting Women's Department Purchases in a Retail Store By Using the SEMMA Methodology Michael Soto source 12
SGF 2013 Predictive Modeling in Sports Leagues: An Application in the Indian Premier League Goutam Chakraborty,
Pankush Kalgotra,
Ramesh Sharda		 source 10
SGF 2013 Projecting Prison Populations with SAS Simulation Studio Bahadir Aral,
Emily Lada,
Ginny Hevener,
Jeff Day,
Tamara Flinchum		 source 10
SGF 2013 Relate, Retain, and Remodel: Creating and Using Context-Sensitive Linguistic Features in Text Mining Models Janardhana Punuru,
Lane Surratt,
Russell Albright		 source 17
SGF 2013 Renovating Your SAS 9.3 ODS Output: Tools for Everything from Minor Remodeling to Extreme Makeovers Bari Lawhorn source 20
SGF 2013 Replacing Manual Coding of Customer Survey Comments with Text Mining: A Story of Discovery with Textual Data in the Public Sector Jared Prins source 19
SGF 2013 Resources for Getting the 2010 US Census Summary Files into SAS Rebecca Ottesen source 5
SGF 2013 SAS Stored Processes Logging Bhargav Achanta source
pdf		 9
SGF 2013 Segmentation and Classification Analysis Using SAS Rachel Poulsen source 14
SGF 2013 Short-Term Costs of Smoking during Pregnancy: A Geometric Multidimensional Approach Violeta Balinskaite source 11
SGF 2013 Some Techniques for Integrating SAS Output with Microsoft Excel Using Base SAS Vincent DelGobbo source 19
SGF 2013 Speed it Up: Using SAS to Automate Initial Discovery Practices Christine John,
Mariya Karimova		 source
pdf		 7
SGF 2013 Stop your 'Wine?-ing: Use a Stored Process! Angela M. Hall,
Patricia S. Aanderud		 source 10
SGF 2013 The Box-Jenkins Methodology for Time Series Models Theresa H. Ngo source 11
SGF 2013 The Hospital Game: Optimizing Surgery Schedules to Save Resources, and to Save Lives Andrew S. Pease,
Ayesgul Peker		 source 14
SGF 2013 The SAS Output Delivery System: Boldly Take Your Web Pages Where They Have Never Gone Before! Chevell T. Parker source 21
SGF 2013 The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity Dirk Van den Poel,
Philippe Baecke		 source 15
SGF 2013 Tips for Generating Percentages Using the SAS TABULATE Procedure Kathryn McLawhorn source 13
SGF 2013 Using Classification and Regression Trees (CART) in SAS Enterprise Miner? for Applications in Public Health Leonard Gordon source 8
SGF 2013 Using Data Mining in Forecasting Problems Chip Wells,
Justin Kauhl,
Timothy Rey		 source 17
SGF 2013 Using Design Principles to Make ODS Template Decisions Helen Smith,
Susan Myers		 source 12
SGF 2013 Using PROC FCMP in SAS System Development: Real Examples Xiyun Wang,
Yves DeGuire		 source 10
SGF 2013 Using SAS BI for Integrated Bank Reporting James L. Beaver source 10
SGF 2013 Using SAS to Measure Airport Connectivity: An Analysis of Airport Centrality in the US Network with SAS/IML Studio Augusto Voltes-Dorta,
Hector Rodriguez-Deniz,
Pere Suau-Sanchez		 source 14
SGF 2013 Variance Heterogeneity and Non-Normality: How the SAS TTEST Procedure Can Keep Us Honest Aarti P. Bellara,
Anh P. Kellermann,
Diep T. Nguyen,
Eun Sook Kim,
Jeffrey D. Kromrey,
Patricia Rodríguez de Gil,
Yi-Hsin Chen		 source
pdf		 10
SGF 2013 What Score Should Johnny Get? Missing_Items SAS Macro for Analyzing Missing Item Responses on Summative Scales Jeffrey D. Kromrey,
Patricia Rodríguez de Gil		 source
pdf		 12
SGF 2013 With a Trace: Making Procedural Output and ODS Output Objects Work For You Louise S. Hadden source
pdf		 21
NESUG 2012 A Practical Application of PROC GPLOT and PROC GCHART and Annotate to Clinical Trial Data Tulin Shekar 7
NESUG 2012 A SAS Tip-of-the-Day Web Page on an Intranet Bruce F. Gilsen 12
NESUG 2012 An Animated Guide: Regression Trees in JMP and Enterprise Miner Russell M. Lavery 32
NESUG 2012 An Introduction to Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
NESUG 2012 Analyzing the Safewalk Program with SAS: Saving Shelter Dogs One Walk at a Time Louise S. Hadden,
Terri Bright		 12
NESUG 2012 Behind the Scenes with SAS: Using Custom Graphics in SAS Output Louise S. Hadden 12
NESUG 2012 Calculating Questionnaire Scores Made Easy in SAS Qin Lin 9
NESUG 2012 Checking Out Your Dates with SAS Christopher J. Bost 6
NESUG 2012 Combining Continuous Events and Calculating Duration in Kaplan-Meier Analysis Using a Single DATA Step Hui Song,
George Laskaris		 8
NESUG 2012 Correcting for Natural Time Lag Bias among Non-Participants in Pre-Post Intervention Evaluation Studies Gandhi Bhattarai 5
NESUG 2012 Efficiently Screening Predictor Variables for Logistic Models Steven Raimi,
Bruce S. Lund		 13
NESUG 2012 Financial Impact Analysis of the New RUG-IV on Post-Acute Medicare Providers Using Monte Carlo Simulation John Gao,
Cheryl Caswell,
Barry Fogel		 13
NESUG 2012 Generating Estimates for U.S. Healthcare Costs and Use Paul Gorrell 18
NESUG 2012 How to Monitor Production and Development Processing Using the SAS Logging Facility Curtis E. Reid 15
NESUG 2012 Implementing and Interpreting Canonical Correspondence Analysis in SAS Laxman Hegde 10
NESUG 2012 Interesting Technical Mini-Bytes of Base SAS - From DATA Step to Macros Airaha Chelvakkanthan Manickam 13
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
NESUG 2012 K-Nearest Neighbor Classification and Regression in SAS Liang Xie 16
NESUG 2012 Kick It Old School - Creating Reports with the DATA _NULL_ Step Sai Ma,
Suwen Li,
Minlan Li		 10
NESUG 2012 Practical Application of SAS Capabilities for Pharma Goaling and Performance Review Ramya Purushothaman 15
NESUG 2012 SAS for Six Sigma - An Introduction Daniel R. Bretheim 32
NESUG 2012 SAS UNIX-Space Analyzer - A Handy Tool for UNIX SAS Administrators Airaha Chelvakkanthan Manickam 12
NESUG 2012 Summing Data with the SUM Function in SAS Anjan Matlapudi,
Daniel Knapp		 11
NESUG 2012 Target Trained Transformations for Predictive Modeling Talbot M. Katz 9
NESUG 2012 Tips for Using SAS to Manipulate Large-scale Data in Databases Shih-Ching Wu,
Shane McLaughlin		 10
NESUG 2012 Using PROC FCMP to Solve Rolling Regression Rapidly Chao Huang,
Liang Xie		 4
NESUG 2012 Using PROC TCALIS to Investigate Equality of Covariance Matrices across Two Groups Chen Li,
Steven L. Holtzman		 5
SCSUG 2012 A SAS MACRO for estimating bootstrapped confidence intervals in dyadic regression models. Robert Wickham source 6
SCSUG 2012 Identical SAS IntrNet code Rob Caudill source 3
SCSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
SCSUG 2012 Use and Applications of JMP in Microbial Ecology Jose Garcia-Mazcorro source 17
PHUSE EU 2012 A Peak at PK - An Introduction to Pharmacokinetics Hannah Twittchet,
Paul Grimsey		 source
presentation source		 9
PHUSE EU 2012 Bootstrap Analysis Double-Independent Programming: Issues and Solutions Nils Penard source
presentation source		 10
PHUSE EU 2012 Bootstrap simulations to estimate Overall Survival based on the distribution of a historical control Antonio Nieto,
Javier Gómez		 source
presentation source		 7
PHUSE EU 2012 East6: Software for Designing, Simulating and Monitoring Group Sequential Trials Hrishikesh Kulkarni,
Sheetal Solanki		 source
presentation source		 12
PHUSE EU 2012 Measure the Benefit of Standards Ltd - Provide Evidence to the Gut Feeling Gary Fleming source
presentation source		 5
PHUSE EU 2012 Metaprogramming in SAS Arvind Chaudhari source
poster source		 8
PHUSE EU 2012 Novel Programming Methods for Working with Large Claims Databases Richard R. Allen source
presentation source		 12
PHUSE EU 2012 Programming Challenges of Sampling Controls to Cases from the Dynamic Risk Sets in Nested Case Control Studies Victor Kiri source
presentation source		 8
PHUSE EU 2012 SAS Clinical Standards Toolkit 1.5 - How Do I Know My Metadata is Right? Gene Lightfoot source
presentation source		 14
PHUSE EU 2012 Validation in Epidemiological Studies [presentation] Raimund Storb source 24
PHUSE EU 2012 Validation to define.xml Sam Tomioka,
Steven Huang		 source
poster source		 8
SESUG 2012 %MIXED_FIT: A SAS Macro to Assess Model Fit and Adequacy for Two-Level Linear Models Mihaela Ene source 8
SESUG 2012 A PROC MEANS Primer David Kerman source 8
SESUG 2012 A SAS macro to compute effect size (Cohen's d) and its confidence interval from raw survey data Rajendra P source 12
SESUG 2012 An Introduction to Criteria-based Deduplication of Records Elizabeth Heath source 5
SESUG 2012 An Introduction to the Clinical Standards Toolkit Mike Molter source 13
SESUG 2012 Creating a Heatmap Visualization of 150 Million GPS Points on Roadway Maps via SAS Shih-Ching Wu source 9
SESUG 2012 Data merging and Exploration to identify association of Epidemiological outbreaks with Environmental factors Neeta Shenvi,
Xin Zhang,
Azhar Nizam		 source 16
SESUG 2012 Developing a Complete Picture of Patient Safety in Clinical Trials Richard C. Zink,
Russell D. Wolfinger		 source 5
SESUG 2012 Difference Estimation versus Mean per Unit Methods for Skewed Populations: A Simulation Study John Chantis source 9
SESUG 2012 Do SAS users read books? Using SAS graphics to enhance survey research Barbara B. Okerson source 10
SESUG 2012 Fitting Bayesian hierarchical multinomial logit models in PROC MCMC Fitting Bayesian source 8
SESUG 2012 HELP, My SAS Program isn't Working: Where to Turn When You Need Help Kimberly J. LeBouton source 4
SESUG 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 14
SESUG 2012 K-Nearest Neighbor Classification and Regression using SAS Liang Xie source 16
SESUG 2012 Let the Data Paint the Picture: Data-Driven, Interactive, and Animated Visualizations Using SAS, Java and the Processing Graphics Library Patrick Hall,
Ryan Snyder		 source 11
SESUG 2012 Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole Stephen M. Overton source 12
SESUG 2012 Make Macros Safe for Others to Use: Eliminate Unexpected Side Effects David H. Abbott,
Rebecca B. McNeil		 source 5
SESUG 2012 Minimum Level of Documentation for Ad Hoc Report Programming Minimum Level source 6
SESUG 2012 Multiple Imputation for Ordinal Variables: A Comparison of SUDAAN's PROC IMPUTE vs. PROC MI Multiple Imputation source 12
SESUG 2012 PROC TTEST (Old Friend), What Are You Trying to Tell Us? Diep T. Nguyen source 12
SESUG 2012 Random Effects Simulation for Sample Size Calculations Using SAS Random Effects Simulation source 11
SESUG 2012 Reducing Big Data to Manageable Proportions Sigurd W. Hermansen source 7
SESUG 2012 Sample Size Determination for a Nonparametric Upper Tolerance Limit for any Order Statistic Dennis J. Beal source 8
SESUG 2012 Using Design Principles to Make ODS Template Decisions Helen Smith source 12
SESUG 2012 Using Windows Batch Files to Sequentially Execute Sets of SAS Programs Efficiently Matthew Psioda source 8
SESUG 2012 What's in a FILENAME? Heidi Markovitz source 7
SESUG 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
MWSUG 2012 A Brief Survey of Clustering and Segmentation for Customer Intelligence George J. Hurley 18
MWSUG 2012 A Multifaceted Approach to Generating Kaplan-Meier and Waterfall Plots in Oncology Studies Stacey D. Phillips 12
MWSUG 2012 An Analysis of Diabetes Risk Factors Using Data Mining Approach Akkarapol Sa-ngasoongsong,
Jongsawas Chongwatpol		 11
MWSUG 2012 Collapsing Levels of Predictor Variables for Logistic Regression and Weight of Evidence Coding Bruce S. Lund,
Steven Raimi		 13
MWSUG 2012 Customer Sentiment Imputation Using Hash Tables David J. Corliss 8
MWSUG 2012 Direct Marketing Profit Model Bruce S. Lund 8
MWSUG 2012 Estimating the discrete probability distribution of the age characteristic of Veteran populations using SAS, SAS/OR and SAS Simulation Studio for use in population projection models Michael C. Grierson 15
MWSUG 2012 Flexible HTML Reporting Using Advanced Macro Programming and TableEditor Tagset Smita Sumant 10
MWSUG 2012 JMP Pro Bootstrap Forest George J. Hurley 10
MWSUG 2012 Methods for Interaction Detection in Predictive Modeling Using SAS Douglas Thompson 13
MWSUG 2012 Model Selection Using Recursive Macro - Enhancements to R2 Selection in PROC REG Anca M Tilea,
Philip L Francis III,
Brenda W Gillespie,
Rajiv Saran		 10
MWSUG 2012 Modeling Complex Survey Data Taylor Lewis 16
MWSUG 2012 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
MWSUG 2012 Project Automation and Tracking Using SAS Rajesh Lal 12
MWSUG 2012 Random assignment of proxy event dates to unexposed individuals in observational studies: An automated technique using SAS Raymond Harvey,
Dana Drzayich Jankus,
David Mosley		 8
MWSUG 2012 ROC Analysis for the Evaluation of Ethyl Glucuronide (EtG) as a Long-term Alcohol Biomarker in Hair and Fingernails: Evidence from a Large College Drinking Study Daniel Fuhrmann,
Michael Fendrich,
Lisa Berger,
Charles Plate,
Doug Lewis,
Joseph Jones		 10
MWSUG 2012 SAS Macro Tool to Find Source Data Sets Used in Programs Prasanna Murugesan,
Sushant Thakare		 11
MWSUG 2012 Setting the Table ... of Contents: Using SAS ODS PDF Features to Organize, Link, and Navigate a Report Betsy Enstrom 4
MWSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 18
MWSUG 2012 The SAS Hash Object: It's Time To .find() Your Way Around Peter W. Eberhardt 17
MWSUG 2012 Using Base SAS and SAS Enterprise Miner to Develop Customer Retention Modeling Rex Pruitt 17
MWSUG 2012 Using SAS to Determine the Sample Size on the Cohen's Positive Kappa Coefficient Problem Yubo Gao 4
WUSS 2012 A SAS Macro for Displaying Institutional Risk-Adjusted Performance: Forest vs. Funnel Plots Zhongmin Li,
Geeta Mahendra		 source 13
WUSS 2012 An Introduction to Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
WUSS 2012 Assessing Interim Data Using Figures William Coar source 6
WUSS 2012 Basic Statistics with SAS Enterprise Guide: For Learners and Teachers and Everyone Else AnnMaria De Mars,
Chelsea Heaven		 source 20
WUSS 2012 Best Practices: Use Coding Shortcuts to Avoid Typsos and Add Flexibility Mary F. O. Rosenbloom,
Edwards Lifesciences,
Kirk Paul Lafler		 source 7
WUSS 2012 Bridging the Gap Between SAS Applications Developed by Business Units and Conventional IT Production Thomas E. Billings,
Euwell Bankston		 source 11
WUSS 2012 Building, refining & scoring financial transaction sequence analytics Robin E. Way source 12
WUSS 2012 Composite Indices for Health Outcomes in Epidemiologic Studies: Multi-dimensional Coding Using SAS Nadia Chung,
Huiyan Ma,
Jenna Voutsinas,
Leslie Bernstein,
Sophia Wang,
James Lacey		 source 7
WUSS 2012 Connect with SAS Professionals Around the World with LinkedIn, sasCommunity.org, and Business Media Charles E. Shipp,
Kirk Paul Lafler		 source 14
WUSS 2012 Custom Analysis and Reporting with the JMP Application Builder Daniel Schikore source 12
WUSS 2012 De Rigueur - Adding Process to Your Business Analytics Environment Diane Hatcher,
Falko Schulz,
Steve Sparano		 source 22
WUSS 2012 Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples Irena Stijacic Cenzer,
Yinghui Miao,
Katharine Kirby,
W. John Boscardin		 source 9
WUSS 2012 Exploratory Factor Analysis with the World Values Survey Diana D. Suhr source 19
WUSS 2012 Guide Users along Information Pathways and Surf through the Data Stephen M. Overton source 12
WUSS 2012 Habits that Help: Developing Good Programming Style Casey Cantrell source 13
WUSS 2012 HELP, My SAS Program isn't Working: Where to Turn When You Need Help Kimberly J. LeBouton source 4
WUSS 2012 How Do Child Support Order Amounts Affect Payments and Compliance? Mark Takayesu source 12
WUSS 2012 I Want to Get Married Too: Assessing the Relationship between Marital Status and Education for African American Women Shanetta Robinson,
Tara Jiles,
AnnMaria De Mars		 source 11
WUSS 2012 Modular processing for Prep-to-research anaylsis - interfacing XML SAS and Microsoft Excel David Tabano source 16
WUSS 2012 Multivariate Statistical Analysis in SAS: Segmentation and Classification of BehavioralData Rachel Poulsen source 14
WUSS 2012 Power Analysis: What is Available and What You Need to Know Gerry Hobbs source 11
WUSS 2012 PROC FREQ Is More Than Just Simply Generating a 2-by-2 Table Wuchen Zhao source 11
WUSS 2012 Sample Size Calculation and Power Analysis for Design of Experiments Using Proc Glmpower Chii Dean source 10
WUSS 2012 SAS Enterprise Guide: Point, Click and Run is all that takes ... Aruna Buddana source 10
WUSS 2012 SAS Programming Basics: Getting Your Data In and Understanding the Data Step Helen D. Carey source 13
WUSS 2012 SAS Programming Basics: Producing Results from Your Data Helen D. Carey source 16
WUSS 2012 SAS Rule-Based Codebook Generation for Exploratory Data Analysis Ross Bettinger source 8
WUSS 2012 Sensitivity analysis of nonlinear mixed-effects models for longitudinal data that areincomplete Shelley A. Blozis source 6
WUSS 2012 Set Yourself Free - Use ODS Report Writing Technology in SAS EG Instead of Dynamic Data Exchange in PC SAS Robert Springborn source 12
WUSS 2012 The Evolution of SAS Programs Used to Analyze Judicial Salaries Humberto Cisneros,
Carrin Huff		 source 12
WUSS 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt,
Lucheng Shao		 source 18
WUSS 2012 The SAS Hash Object: It's Time To .find() Your Way Around Peter W. Eberhardt source 17
WUSS 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
WUSS 2012 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
WUSS 2012 Weighting Adjustment Methods for Nonresponse in Surveys Taylor Lewis source 15
PharmaSUG CN 2012 A SAS Macro Application to Create Mock Tables in Statistical Analysis Plans for Phase I Clinical Studies Yao Huang 7
PharmaSUG CN 2012 An Illustration of Rate Difference Estimation with SAS in Logistic Regression Yun Guo,
Victor Wu,
Xinyu Xu,
Crystal Cheng		 ppt 7
PharmaSUG CN 2012 The SAS Hash Object: It's Time To .find() Your Way Around Peter W. Eberhardt 17
PharmaSUG 2012 "V" Can Transpose: Transposing Data Sets Using Functions Nehan Mohan source 4
PharmaSUG 2012 7 Steps to Progression Free Survival Insights Using SAS Karen Walker source 12
PharmaSUG 2012 A Hitchhiker's guide for performance assessment & benchmarking SAS applications Viraj R Kumbhakarna,
Anurag Katare		 source 16
PharmaSUG 2012 A Macro to Indent and Hyphenate Lengthy Text in PROC REPORT Stanley Yuen source 5
PharmaSUG 2012 A Multifaceted Approach to Generating Kaplan-Meier and Waterfall Plots in Oncology Studies Stacey D. Phillips source 12
PharmaSUG 2012 A Practice to Create Executable SAS Programs for Regulatory Agency Reviewers Hongyu Liu,
Lynn Anderson,
James R. O'Hearn,
Kexi Chen		 source 6
PharmaSUG 2012 A SAS Tool to Allocate and Randomize Samples to Illumina Microarray Chips Huanying Qin,
Greg Stanek,
Derek Blankenship		 source 6
PharmaSUG 2012 An Innovative ADaM Programming Tool for FDA Submission Xiangchen (Bob) Cui,
Min Chen,
Tathabbai Pakalapati		 source 25
PharmaSUG 2012 An Introduction to Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
PharmaSUG 2012 An Introduction to the Clinical Standards Toolkit and Clinical Data Compliance Checking Mike Molter source 14
PharmaSUG 2012 Application of Meta-Analysis in Clinical Trials Marina Komaroff source 7
PharmaSUG 2012 Arriving 'Normally' at t-test for a treatment combination Naina Pandurangi source 7
PharmaSUG 2012 Connect with SAS Professionals Around the World with LinkedIn and sasCommunity.org Charles E. Shipp,
Kirk Paul Lafler		 source 14
PharmaSUG 2012 Considerations in the Submission of Exposure Data in an SDTM-Compliant Format Fred Wood,
Jerry Salyers,
Richard Lewis		 source 4
PharmaSUG 2012 Considerations in the Submission of Pharmacokinetics (PK) Data in an SDTM-Compliant Format Fred Wood,
Peter Schaefer,
Richard Lewis		 source 8
PharmaSUG 2012 Creating Define.pdf with SAS Version 9.3 ODS RTF Elizabeth Li,
Carl Chesbrough		 source 36
PharmaSUG 2012 Cross-Platform Data Migration in a Clinical Environment Frederick E. Pratter,
Srinivas Chittela		 source 6
PharmaSUG 2012 Easy-to-use Macros to Create a Line Plot with Error Bars Including Functions of Automated Jittering and Adjusting Axis Ranges Andrew Miskell,
Peixin Sun,
Yufei Du		 source 41
PharmaSUG 2012 Estimating Risk in the Presence of Unreported Zeros in the Data Brandon Fleming source 7
PharmaSUG 2012 Export SAS Data to Excel in SAS Drug Development Chun Feng,
Xiaopeng Li		 source 10
PharmaSUG 2012 Formats in another format Bettina Ernholt Nielsen source 4
PharmaSUG 2012 Gilding the Lily: Boutique Programming in TAGSETS.RTF Rohini Rao,
Paul D. Hamilton		 source 9
PharmaSUG 2012 Interesting Technical Mini-Bytes of Base SAS - From DATA Step to Macros Airaha Chelvakkanthan Manickam source 13
PharmaSUG 2012 Let's compare two SAS libraries! Kavitha Madduri source 10
PharmaSUG 2012 Making a List, Checking it Twice: Efficient Production and Verification of Tables and Figures Using SAS Linda Collins,
Elizabeth Li		 source 17
PharmaSUG 2012 Making Your SAS Data JMP Through Hoops Mira Shapiro source 19
PharmaSUG 2012 Migrating to a 64-bit operating system: Quick pointers Jacques Thibault source 6
PharmaSUG 2012 OpenCDISC Plus Annie S. Guo source 10
PharmaSUG 2012 Pattern-Mixture Models as Linear Combinations of Least Squares Means from MMRM with Delta Method Variance Estimation Bohdana Ratitch,
Michael O'Kelly		 source 15
PharmaSUG 2012 Reporting Outliers in Data: A Macro to Identify and Report Distant Data Points Howard Liang,
Jason Bishop		 source 5
PharmaSUG 2012 SAS UNIX-Space Analyzer - A Handy Tool for UNIX SAS Administrators Airaha Chelvakkanthan Manickam source 12
PharmaSUG 2012 Sending Emails in SAS to Facilitate Clinical Trial Frank Fan source 8
PharmaSUG 2012 Streamlining Regulatory Submission with CDISC/ADaM Standards for Non-standard Pharmacokinetic/Pharmacodynamic Analysis Datasets Xiaopeng Li,
Katrina E. Canonizado,
Chun Feng,
Nancy Wang		 source 6
PharmaSUG 2012 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 18
PharmaSUG 2012 Transform Incoming Lab Data into SDTM LB Domain with Confidence Anthony L. Feliu source 27
PharmaSUG 2012 Using JMP Partition to Grow Decision Trees in Base SAS Mira Shapiro source 16
PharmaSUG 2012 Using SAS to Calculate Noncompartmental Urine Parameters Vanessa Rubano,
Modesta Wiersema		 source 8
PharmaSUG 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
SGF 2012 %SPARKY: A SAS Macro for Creating Excel Sparklines Ted Conway source 8
SGF 2012 10,000 Leagues of Data... Divide and Conquer OLAP Cubes: Best Practices for High Volumes of Data Stephen M. Overton source 6
SGF 2012 A Bootstrapped Kappa Statistic for a Multiple-Rater Multiple-Category Problem Yubo Gao source 4
SGF 2012 A Generalized Approach to Estimating Sample Sizes Wuchen Zhao,
Arthur X. Li		 source 7
SGF 2012 A Guide for Connecting Java to SAS Data Sets Ryan Snyder,
Patrick Hall		 source 11
SGF 2012 A Hitchhiker's Guide for Performance Assessment and Benchmarking SAS Applications Viraj R Kumbhakarna,
Anurag Katare		 source 17
SGF 2012 A SAS Macro for Computing Point Estimates and Confidence Intervals of Effect Sizes Associated with Mediation Analysis Merlande Petit-Bois,
Thanh V. Pham,
Eun Kyeng Baek,
Jeffrey D. Kromrey		 source 12
SGF 2012 A SAS Tip-of-the-Day Web Page on an Intranet Bruce F. Gilsen source 12
SGF 2012 A Simple Way to Program Power Calculations Robert Lew,
Hongsheng Wu		 source 16
SGF 2012 A Week in the Life: A Visual Analysis of Internet Use by School-Age Students Simon J. King,
Aaron Daniels,
Jacob Warwick		 source 12
SGF 2012 An Experimental Comparison of Classification Techniques for Imbalanced Credit Scoring Data Sets Using SAS Enterprise Miner Iain L. Brown source 14
SGF 2012 An Introduction to Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
SGF 2012 Analysis of Clickstream Data Using SAS Sumit Sukhwani,
Goutam Chakraborty,
Satish Garla		 source 13
SGF 2012 Are You in Need of Validation? Psychometric Evaluation of Questionnaires Using SAS Eric P. Elkin source 9
SGF 2012 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
SGF 2012 Beyond Star Schema: Exploring the Next Query Generation with the SAS Enterprise BI Server Fred Levine source 6
SGF 2012 Building WOE Binned LGD Scorecards using SAS Enterprise Miner Anthony J. van Berkel,
Naeem Siddiqi		 source 14
SGF 2012 Cluster Mapping of Medicare Severity Diagnosis-Related Groups for ICD-10 Conversions Keith A. Jones source 11
SGF 2012 Comparing Stock Returns Forecasting Methods Using SAS Wei Wang,
Arthur X. Li		 source 8
SGF 2012 Connect with SAS Professionals Around the World with LinkedIn and sasCommunity.org Charles E. Shipp,
Kirk Paul Lafler		 source 14
SGF 2012 Convert Your Old Plots and Charts to New SG Plots and Charts: Here's How Gabe Cano source 13
SGF 2012 Creating Pharmacokinetic Graphs Using SAS/GRAPH Katrina E. Canonizado,
Matthew Murphy		 source 8
SGF 2012 Custom Analysis and Reporting with the JMP Application Builder Daniel Schikore source 12
SGF 2012 Customer Experience Modeling Estelle Marianne,
Nick Merry,
Wendy Au		 source 7
SGF 2012 De Rigueur - Adding Process to Your Business Analytics Environment Falko Schulz,
Diane Hatcher,
Steve Sparano		 source 22
SGF 2012 Developing a Flexible ETL Process to Let SAS Capture Data Changes Efficiently in a Data Warehouse and Clean Up the Mess Stephen M. Overton source 8
SGF 2012 Developing Custom Metadata Reports for SAS Data Integration Studio Michael Kilhullen source 12
SGF 2012 Dickens vs. Hemingway: Text Analysis and Readability Statistics in Base SAS Jessica R. Hampton source 8
SGF 2012 Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer Manojkumar B Agravat source 40
SGF 2012 Enhanced Data Analysis Using SAS ODS Graphics and Statistical Graphics Patricia A. Berglund source 20
SGF 2012 Ethnicity and Race: When Your Output Isn't What You Expected Philamer M. Atienza source 5
SGF 2012 Examples of Building Traceability in CDISC ADaM Datasets for FDA Submission Xiangchen (Bob) Cui,
Hongyu Liu,
Tathabbai Pakalapati		 source 14
SGF 2012 Exploratory Factor Analysis with the World Values Survey Diana D. Suhr source 19
SGF 2012 Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR Jonathan Steinberg source 10
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SGF 2012 How Test Length and Sample Size Have an Impact on the Standard Errors for IRT True Score Equating: Integrating SAS and Other Software Yi-Fang Wu source 12
SGF 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 20
SGF 2012 Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX Philippe Baecke,
Dirk Van den Poel		 source 11
SGF 2012 Interesting Technical Mini-Bytes of Base SASFrom DATA Steps to Macros Airaha Chelvakkanthan Manickam source 13
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell		 source 22
SGF 2012 Introduction to Predictive Modeling with Examples David A. Dickey source 14
SGF 2012 Investigating Host Plant Resistance to Aphid Feeding through SAS Text Miner Ning Song,
Jiawen Liu,
Goutam Chakraborty,
James A. Anstead		 source 10
SGF 2012 Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner Sascha Schubert,
Susan Haller,
Taiyeong Lee		 source 15
SGF 2012 Lean and Mean: Using Lean Six Sigma to Improve Your Analytic Processes Robbie Reynolds,
Rachel Alt-Simmons		 source 8
SGF 2012 Let the Data Paint the Picture: Data-Driven, Interactive, and Animated Visualizations Using SAS, Java and the Processing Graphics Library Ryan Snyder,
Patrick Hall		 source 11
SGF 2012 Logging 101: Leveraging the SAS 9.3 Enhanced Logging Facility Margaret A. Crevar source 8
SGF 2012 Lost in Wonderland? Methodology for a Guided Drill-Through Analysis Out of the Rabbit Hole Stephen M. Overton source 12
SGF 2012 Making Exploration of Nonlinear Models Fast and Easy Using JMP 10 Don McCormack source 8
SGF 2012 Making Your SAS Data JMP Through Hoops Mira Shapiro source 19
SGF 2012 Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods Joseph C. Gardiner source 15
SGF 2012 MV_META: A SAS Macro for Multivariate Meta-Analysis Julie A. Gloudemans,
Corina M. Owens,
Jeffrey D. Kromrey		 source 15
SGF 2012 Physician Practice Pattern Variation: Using Data Mining and Predictive Modeling to Identify and Control Costly Treatment Patterns David C. Ogden source 12
SGF 2012 Practical Application of SAS Capabilities for Pharma Goaling and Performance Review Ramya Purushothaman source 16
SGF 2012 Predicting Electoral Outcomes with SAS Sentiment Analysis and SAS Forecast Studio Jenn Sykes source 9
SGF 2012 Propensity Score Analysis and Assessment of Propensity Score Approaches Using SAS Procedures Rheta E. Lanehart,
Patricia Rodríguez de Gil,
Eun Sook Kim,
Aarti P. Bellara,
Jeffrey D. Kromrey,
Reginald Lee		 source 11
SGF 2012 SAS and Microsoft SharePoint: Project and Resource Management Tools and Techniques for Large, Globally Distributed Programming Teams Stetson Line source 9
SGF 2012 SAS Tools for Cost-Effective and High-Quality Clinical Trial Reporting Paul J. Novotny,
Angelina Tan,
Nathan R. Foster,
Jeff A. Sloan		 source 10
SGF 2012 Selecting Unrestricted and Simple Random With Replacement Samples Using Base SAS and PROC SURVEYSELECT David D. Chapman source 14
SGF 2012 Serving SAS: A Visual Guide to SAS Servers Gregory S. Barnes Nelson source 12
SGF 2012 Simplifying the Analysis of Complex Survey Data Using the SAS Survey Analysis Procedures Varma Nadimpalli,
Katie A. Hubbell		 source 14
SGF 2012 Standardized Difference: An Index to Measure the Effect Size between Two Groups Dongsheng Yang,
Jarrod E. Dalton		 source 6
SGF 2012 The Alarm Effect of Statistical Process Control Process in Automotives Manufacturing Ying Wang source 8
SGF 2012 The Path to Developing Your Organization's SAS Skills Jonathan Boase,
Donald E. Kros		 source 4
SGF 2012 The SAS Hash Object: It's Time To .find() Your Way Around Peter W. Eberhardt source 17
SGF 2012 The SAS Log: A Wealth of Data and Job Flow Information Steven J. First source 8
SGF 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
SGF 2012 Twitter and Facebook Analysis: Its Not Just for Marketing Anymore Jodi Blomberg source 9
SGF 2012 Using DDE and VBA Techniques to Import Data from Microsoft Word Tables in Programming Specification Files into SAS Mei Li,
Zemin Zeng		 source 9
SGF 2012 Using PHREG for Model Selection to Explore the Time Taking Immigrants in the GB to Find First Employment and Cross Validating Frailty Terms JuYin Helen Wong source 5
SGF 2012 Using Pre-Formatted Microsoft Excel Templates with SAS George G. Mendoza,
Subhashree Singh		 source 13
SGF 2012 Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles Ling Huang source 7
SGF 2012 Using SAS Enterprise Guide As a Powerful Regulating Weapon Guangzhi Zhang,
Xing Guo		 source 8
SGF 2012 Using SAS for the Design, Analysis, and Visualization of Complex Surveys Sharon Lohr source 15
SGF 2012 Using SAS to Extend Logistic Regression Dachao Liu source 8
SGF 2012 Using SAS to Measure Airport Connectivity: An Application of Weighted Betweenness Centrality for the FAA National Plan of Integrated Airport Systems (NPIAS) Hector Rodriguez-Deniz source 12
SGF 2012 Variable Selection for Multivariate Cointegrated Time Series Prediction with PROC VARCLUS in SAS Enterprise Miner 7.1 Akkarapol Sa-ngasoongsong,
Satish T. Bukkapatnam		 source 12
SGF 2012 Wallet and Share of Wallet Estimation: A Flexible Methodology Shira Witelson source 15
SGF 2012 Weighted Portmanteau Tests Revisited: Detecting Heteroscedasticity, Fitting Nonlinear and Multivariate Time Series Thomas J. Fisher source 12
SGF 2012 Why Does SAS Say That? What Common DATA Step and Macro Messages Are Trying to Tell You Charles E. Mullin,
Kevin Russell		 source 17
SCSUG 2011 "Let's Get SAS To Do It!" Anna Vincent source 22
SCSUG 2011 A SAS Macro Tool for Selecting Differentially Expressed Genes in Microarray Data Huanying Qin source 7
SCSUG 2011 A Simulation Study for Power Analysis in a Longitudinal Study Using SAS Ravi Lingineni source 4
SCSUG 2011 Advice to Health Services Researchers: Be Cautious Using the "Where" Statement in SAS Programs for Nationally Representative Complex Survey Data Hemalkumar Mehta source 10
SCSUG 2011 An Introductory Look at the Situational Context Inherent in the RBI Using Two Modeling Approaches Ryan Sides source 14
SCSUG 2011 At Random - Sampling with PROC SURVEYSELECT Patricia Hettinger source 15
SCSUG 2011 Ethnicity and Race: When Your Output Isn't What You Expected Philamer M. Atienza source 5
SCSUG 2011 PROC SURVEYFREQ: Why Do a Three Way Table in SAS When We Want Two Way Table Information? Hemalkumar Mehta source 14
SCSUG 2011 SAS-Implementations Supporting Satellite, Aircraft, and Drone-based Remote Sensing Endeavors and Their Influences in the Classroom Cecil R. Hallum source 16
SCSUG 2011 Statistical comparison of relative proportions of bacterial genetic sequences Jose F Garcia-Mazcorro source 19
SCSUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
SCSUG 2011 Understanding the Anatomy of a SAS Deployment: What's in My Server Soup? Mark L. Schneider source 18
SCSUG 2011 Using Proc Logistic, SAS Macros and ODS Output to evaluate the consistency of independent variables during the development of logistic regression models. An example from the retail banking industry Alexandros Vidras source 9
SCSUG 2011 When It's Not Random Chance: Creating Propensity Scores Using SAS EG Josie Brunner source 13
SESUG 2011 3DSHU+: C reating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 22
SESUG 2011 Acknowledging the Unknown: A SAS Macro for Investigating Omitted Variable Bias in Two-Level Linear Models Jason A. Schoeneberger,
Bethany A. Bell,
Jeffrey D. Kromrey		 source 16
SESUG 2011 Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures Arthur X. Li source 18
SESUG 2011 Analysis of Complex Survey Data Varma Nadimpalli source 12
SESUG 2011 Be Bold with Proc Compare and %RTFTable Patricia Guldin source 7
SESUG 2011 Can you decipher the code? If you can, maybe you can break it Jayanth Iyengar source 6
SESUG 2011 CI_MEDIATE: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Mediation Analysis Thanh V. Pham,
Eun Kyeng Baek,
Merlande Petit-Bois,
Jeffrey D. Kromrey		 source 10
SESUG 2011 Development of a SAS Macro for Automated Data Cleaning of Major Outcomes of Interest in Hematopoietic Cell Transplantation Peigang Li,
Min Chen,
Zhiwei Wang		 source 7
SESUG 2011 Does SAS Distance Measurement Differ from ArcGIS Distance Measurement? Imam Xierali source 9
SESUG 2011 Eyes on the Road: A Methodology for Analyzing Complex Eye-Tracking Data Eye Tracking source 11
SESUG 2011 Identifying, Tracking, and Analyzing Patterns in Finite Concurrent and Sequential Events using SAS Vijayalakshmi Sampath source 10
SESUG 2011 JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research Melvin T. Alexander source 18
SESUG 2011 JMPing in: A SAS Programmer's look at JMP Barbara B. Okerson source 8
SESUG 2011 Let's Give 'Em Something to TOC about: Transforming the Table of Contents of Your PDF File Bari Lawhorn source 18
SESUG 2011 Linear Logistic Test Model: Using SAS to Simulate the Decomposition of Item Difficulty by Algorithm, Sample Size, Cognitive Component and Time to Convergence George MacDonald,
Jeffrey D. Kromrey		 source 11
SESUG 2011 Macros for Two-Sample Hypothesis Tests Jinson J. Erinjeri,
D.K. Shifflet		 source 7
SESUG 2011 Making Your SAS Data JMP Through Hoops Mira Shapiro source 11
SESUG 2011 Misquoting Jane Austen in the Name of Quality Assurance Deborah Posner source 11
SESUG 2011 Missing_Items: A SAS Macro for Missing Data Imputation in Summative Response Scales Patricia Rodríguez de Gil,
Jeffrey D. Kromrey		 source 13
SESUG 2011 MV_META: A SAS Macro for Multivariate Meta-Analysis Julie A. Gloudemans source 12
SESUG 2011 My annual reporting is requiring a full staff - Help! Erin Lynch,
Daniel O'Connor,
Himesh Patel		 source 12
SESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen		 source 20
SESUG 2011 Permutated-block randomization with varying block sizes using SAS Proc Plan Lei Li source 6
SESUG 2011 Proc MIXED - Right Options to get Right Output Shilpa C. Edupganti,
Sheetal Nisal		 source 9
SESUG 2011 PROC SURVEY... Says!: Selecting and Analyzing Stratified Samples Darryl Putnam source 9
SESUG 2011 SAS Code to Export and Create Pivot Tables in Excel 2007 Robert Williams source 8
SESUG 2011 Smoothing Scaled Score Distributions from a Standardized Test using PROC GENMOD Jonathan Steinberg,
Tim Moses		 source 7
SESUG 2011 Time Series Analysis: Separating Overlapping Events M. Scott Elliott source 10
SESUG 2011 Tips for Merging SAS/GRAPH Output into Microsoft PowerPoint Ferrell Drewry source 12
SESUG 2011 Two Guys On Hash Paul M. Dorfman source 34
WUSS 2011 Assessing resource adequacy uncertainty in California electricity summer demand using the MCMC procedure in SAS Enterprise MinerTM Miguel Garcia-Cerrutti source 12
WUSS 2011 Benefits of JAVA Within SAS: Exploring the Differences of the new JavaObj and SAS/IML Studio Diana Shealy source 7
WUSS 2011 Beyond Breslow-Day: Homogeneity Across R x C Tables Ginny Lai source 7
WUSS 2011 ChiD, A Chi-2 - Based Discretization Algorithm Ross Bettinger source 9
WUSS 2011 Consistency of Treatment Effect cross Regions Yunfeng Li source 6
WUSS 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 22
WUSS 2011 Estimating Disease Prevalence from Clinical Data Using Capture-Recapture Carol Conell source 10
WUSS 2011 Estimating Sample Size through Simulations Wuchen Zhao source 6
WUSS 2011 Evaluation of the Psychometric Properties of the Inventory of the Dimensions of Emerging Adulthood Nadra Lisha source 33
WUSS 2011 HELP, My SAS Program isn't Working: Where to Turn When You Need Help Kimberly J. LeBouton source 4
WUSS 2011 Let's Give 'Em Something to TOC about: Transforming the Table of Contents of Your PDF File Bari Lawhorn source 18
WUSS 2011 Modeling Interactive Advertising on TiVo: Overcoming the Challenges of Collinearity, Efficiency and Practicality Rachel Poulsen source 10
WUSS 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes source 20
WUSS 2011 Output SAS DATA Step Views: an Experimental Feature Thomas E. Billings source 9
WUSS 2011 Power Analysis: What is Available and What You Need to Know Gerry Hobbs source 11
WUSS 2011 Producing Cumulative Distribution Frequency Figures with Minimal Important Difference Reference Lines to Assess Quality of Life Treatment Effects Xiao Liu source 7
WUSS 2011 SAS Essentials I: SAS Functions for a Better Functioning Community AnnMaria De Mars source 15
WUSS 2011 SAS Essentials II: Better-Looking SAS for a Better Community AnnMaria De Mars source 17
WUSS 2011 SAS Essentials III: Statistics for Hamsters AnnMaria De Mars source 18
WUSS 2011 SAS Macros for the Working Statistician William Krebs source 9
WUSS 2011 Sending Emails in SAS to Facilitate Clinical Trial Frank Fan source 10
WUSS 2011 The Perfect Marriage: The SAS Output Delivery System (ODS) and Microsoft Office Chevell T. Parker source 22
WUSS 2011 Tips and Techniques for Automating the SAS Add-In for Microsoft Office with Visual Basic for Applications Tim Beese source 15
WUSS 2011 Tips and Techniques for the SAS Programmer Helen D. Carey source 19
WUSS 2011 Understanding the Anatomy of a SAS Deployment: What's in My Server Soup? Connie Robison source 18
WUSS 2011 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
PHUSE EU 2011 An Animated Guide: An Introduction to Latent Class Clustering in SAS Russell M. Lavery source 19
PHUSE EU 2011 Architect - A Platform for Design and Analysis Software for Clinical Trials Shashank Maratkar source 12
PHUSE EU 2011 Bayesian hypothesis testing for proportions Antonio Nieto,
Javier Gómez		 source
presentation source		 6
PHUSE EU 2011 Different Methods of Calculating Body Sway Area Thomas Wollseifen source
presentation source		 24
PHUSE EU 2011 Embedding equivalence - t-test results in Bland Altman Plots visualising rater reliability Jim Groeneveld source
presentation source		 5
PHUSE EU 2011 Ensuring Compliant and Consistent Data Mappings for SDTM-based Studies - an ICON Approach Jennie McGuirk,
Steven Thacker		 source
presentation source		 16
PHUSE EU 2011 Implementing ADaM Using the SAS Clinical Standards Toolkit Gene Lightfoot source
presentation source		 12
PHUSE EU 2011 Rebuilding define.pdf by reading Word and XFDF files David J. Garbutt source
poster source		 23
PHUSE EU 2011 Use Your Favourite Program Editor Duong Tran source
poster source		 3
PHUSE EU 2011 Using the SAS Clinical Standards Toolkit to work with the CDISC ODM model Lex Jansen source
presentation source		 20
MWSUG 2011 A Hitchhiker's guide for performance assessment & benchmarking SAS applications Viraj R Kumbhakarna,
Anurag Katare		 16
MWSUG 2011 A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke		 20
MWSUG 2011 An EXCEL-ent Method to %INCLUDE SAS Code Irvin Snider 10
MWSUG 2011 Application of SAS to monitoring loan defaults in consumer credit portfolios Yevhen Yankovskyy 9
MWSUG 2011 Automated or Manual Validation: Which One is for You? Richann J. Watson,
Patty Johnson		 5
MWSUG 2011 Before Logistic Modeling - A Toolkit for Identifying and Transforming Relevant Predictors Steven Raimi,
Bruce S. Lund		 18
MWSUG 2011 Bootstrap power analysis using SAS Douglas Thompson,
Nort Holschuh,
Bruce Barton,
Ann Albertson		 8
MWSUG 2011 Building a Data-Driven Computer Assisted Interview Using SAS/AF Derek P. Morgan 29
MWSUG 2011 Case Study: Geospatial location analysis & reporting application using SAS, Google Maps & MS Excel Adney Fernandes 13
MWSUG 2011 Comparing Over-the-Counter Drug Prices and Availability Using Nonparametric Tests Deanna Naomi Schreiber-Gregory 3
MWSUG 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 22
MWSUG 2011 Dealing with Duplicates in Your Data Joshua M. Horstman,
Roger D. Muller		 7
MWSUG 2011 Does Lawrence Smoking Ban Impact Kansas Liquor Sales? Lijia Mo 12
MWSUG 2011 Estimating Design Effects for Means, Proportions and Totals from Complex Sample Survey Data Using SAS Proc Surveymeans Trent D. Buskirk 13
MWSUG 2011 How to Use SDTM Definition and ADaM Specifications Documents to Facilitate SAS Programming Yan Liu 5
MWSUG 2011 In Search of the LOST CARD Andrew T. Kuligowski 9
MWSUG 2011 Increased Life Expectancy from Positive Perceptions of Retirement Reuben Ng,
Deepak C. Lakra,
Becca R. Levy		 10
MWSUG 2011 Interpreting the Differences Among LSMEANS in Generalized Linear Models Robin High 11
MWSUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen,
Ying So		 20
MWSUG 2011 Outlier resistance of multivariate bioequivalence procedures Srinand P. Nandakumar,
Joseph W. McKean		 13
MWSUG 2011 Regression calibration with multiple imputations for red blood cell fatty acids James V. Pottala 8
MWSUG 2011 SAS and Code Lists from Genericode Larry Hoyle 18
MWSUG 2011 SAS Model Selection Macros for Complex Survey Data Using PROC SURVEYLOGISTIC/SURVEYREG Fang Wang,
Hee-Choon Shin		 27
MWSUG 2011 The Effects of Previous Trial Validity on the Gaze Cuing Effect: A Meta-Analysis Deanna Naomi Schreiber-Gregory 6
MWSUG 2011 The Essentials of SAS Dates and Times Derek P. Morgan 16
MWSUG 2011 The Perfect Marriage: The SAS Output Deliver System (ODS) and Microsoft Office Chevell T. Parker 22
MWSUG 2011 Tips and Techniques for Automating the SAS Add-In for Microsoft Office with Visual Basic for Applications Tim Beese 15
MWSUG 2011 Using JMP Visualizations to Build a Statistical Model George J. Hurley 11
MWSUG 2011 Using SAS to Create Sales Expectations for Everyday and Seasonal Products Lory Ellebracht,
Jamie Netherton,
Casey Gentry		 10
MWSUG 2011 Using SAS to Find the Best K for K-Nearest-Neighbor Classification Charlie Huang 14
NESUG 2011 10 Steps to Easier SAS Code Maintenance Jessica R. Hampton 9
NESUG 2011 A Practical Method to Generate Desirable Group Sizes by Performing Adaptive Randomization Feifei Yang 5
NESUG 2011 A SAS Macro for Transposing Large Datasets Chen Li 4
NESUG 2011 Adaptive Randomization: Institutional Balancing Using SAS Macro Rita Tsang,
Katherine Kacena		 12
NESUG 2011 An Animated Guide: An Introduction to Latent Class Clustering in SAS Russell M. Lavery 16
NESUG 2011 Baseball with Popcorn, Statistics and SAS - What A Mix David W. Franklin 8
NESUG 2011 Building Provider Panels: An Application for the Hash of Hashes Judy Loren,
Richard A. DeVenezia		 9
NESUG 2011 Cash-Flow Modeling for Fixed Income Securities? A New Approach Using SAS Risk Management for Banking Solution Sunny Zhang 14
NESUG 2011 Choosing ODS Styles: How to Enter your Data in a SAS Fashion Show Gwen Babcock 6
NESUG 2011 Combining the Results from Multiple SAS PROCs into a Publication Quality Table Robert Kabacoff 20
NESUG 2011 Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets Kathy Hardis Fraeman 8
NESUG 2011 Confirmatory Factor Analysis and Structural Ehuation Modeling of Non-cognitive Assessments Using PROC CALIS Steven L. Holtzman,
Sailesh Vezzu		 9
NESUG 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 22
NESUG 2011 Feature Selection and Dimension Reduction Techniques in SAS Sassoon Kosian,
Varun Aggarwal		 6
NESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes 20
NESUG 2011 Planting Your Rows: Using SAS Formats to Make the Generation of Zero-Filled Rows in Tables Less Thorny Kathy Hardis Fraeman 11
NESUG 2011 SAS Macro for Nonparametric Residual Bootstrap Multilevel Modeling Jichuan Wang,
Peichang Shi,
Avital Cnaan		 6
NESUG 2011 Statistical Approach to Biosurveillance in Crisis: What is Next? Ernest S. Shtatland,
Timur Shtatland		 14
NESUG 2011 The Colorful ODS Ali Sabouri 5
NESUG 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson 9
NESUG 2011 Understanding the Anatomy of a SAS Deployment: What's in My Server Soup? Mark L. Schneider 18
NESUG 2011 Using SAS To Identify Cancer Treatment Patterns in Administrative Claims Data Laurie Hamilton 15
NESUG 2011 Using SQL joins to Perform Fuzzy Matches on Multiple Identifiers Jedediah J. Teres 6
NESUG 2011 Why Programming Efficiency Should Matter to All of Us John J. Cohen 15
PharmaSUG 2011 A Cost-Effective SDTM Conversion for NDA Electronic Submission Xiangchen (Bob) Cui,
Scott E. Moseley,
Min Chen		 source 12
PharmaSUG 2011 A Programmer's Introduction to Survival Analysis Using Kaplan Meier Methods John Ventre,
Lisa Fine		 source 8
PharmaSUG 2011 A SAS Macro to Indent the un-indented SAS programs Sreekanth Reddy Middela,
Jyothsna Samala,
Anirudh Bhetala		 source 8
PharmaSUG 2011 A SAS Macro Tool for Selecting Differentially Expressed Genes from Microarray Data Huanying Qin,
Laia Alsina,
Hui Xu,
Elisa L. Priest		 source 7
PharmaSUG 2011 Adjusting Analyses of Survey Results using a Predicted Probability of Response Rob Gately source 12
PharmaSUG 2011 Analytical Methods for Post-Marketing Safety Surveillance Annette Stemhagen,
Juliane K. Mills		 source 3
PharmaSUG 2011 Automated or Manual Validation: Which One is for You? Richann J. Watson,
Patty Johnson		 source 5
PharmaSUG 2011 Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis Matthew Davis,
Sharon X. Xie		 source 9
PharmaSUG 2011 Clinical Trials Versus Health Outcomes Research: SAS/STAT Versus SAS Enterprise Miner Patricia B. Cerrito source 15
PharmaSUG 2011 Combining RTF Graphs Lucius Reinbolt source 4
PharmaSUG 2011 Cost-Effectiveness Of Primary PCI At Hospitals Without Onsite CaABG Pedro Ramos source 21
PharmaSUG 2011 Creating a define.xml file for ADaM and SDTM John H. Adams source 18
PharmaSUG 2011 Creating Forest Plots Using SAS/GRAPH and the Annotate Facility Amanda Tweed source 7
PharmaSUG 2011 Creating Hyperlinked PDF Graphical Patient Profiles with PROC REPORT William Conover source 11
PharmaSUG 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 22
PharmaSUG 2011 Developing Resourcefulness in SAS Programmers Brian K. Varney source 9
PharmaSUG 2011 Ensuring Consistent Data Mapping Across SDTM-based Studies - a Data Warehouse Approach Annie S. Guo source 12
PharmaSUG 2011 Epidemiology in Drug Development Catherine Sigler,
Annette Stemhagen		 source 3
PharmaSUG 2011 Estimating Sample Size through Simulations Wuchen Zhao,
Arthur X. Li		 source 6
PharmaSUG 2011 Generate Informative Clinical Laboratory Results Listing Sai Ma source 5
PharmaSUG 2011 New Tips and Tricks for Creating a Harmonized, Report-Friendly SDTM and ADaM Lab Data for a Clinical Study Report Xiangchen (Bob) Cui,
Min Chen,
Scott E. Moseley		 source 12
PharmaSUG 2011 Project Automation and Tracking Using SAS Rajesh Lal source 12
PharmaSUG 2011 Scatter Charts of Serial Observations with Proc SGPLOT and Graphics Template Language Anthony L. Feliu source 20
PharmaSUG 2011 Smart Import/Append Data in Excel Sheets Zhengping Ma,
Liping Liu		 source 8
PharmaSUG 2011 Some Useful Techniques of Proc Format Stan Li source 6
PharmaSUG 2011 Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS Dongsun Cao,
Xiaomin He		 source 12
PharmaSUG 2011 The Perfect Marriage: The SAS Output Delivery System (ODS) and Microsoft Office Chevell T. Parker source 22
PharmaSUG 2011 The Standard for the Exchange of Nonclinical Data (SEND): History and Basics Fred Wood,
Lou Ann Kramer		 source 9
PharmaSUG 2011 Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools Melvin S. Munsaka,
Michael Carniello		 source 10
PharmaSUG 2011 Using SAS Predictive Modeling to Investigate the Asthma's Patient Future Hospitalization Risk Yehia H. Khalil source 7
PharmaSUG 2011 Using Six Sigma Methodologies to Find a Solution for Increasing Training Completions Eunice Ndungu,
Shazia Khawaja,
Janet Low,
Steve Miola		 source 22
PharmaSUG 2011 Using Visual Basic for Application to Produce Table of Contents from SAS Output List Files Zemin Zeng,
Mei Li,
Meng Pan		 source 5
SGF 2011 A Macro to Modify Attributes for All Character Variables in SAS Data Sets Suresh B. Kadaru source 6
SGF 2011 An Application of SAS Simulation Studio: The Microsimulation of a Computer-Assisted Telephone Interviewing System Yves Belanger,
Kristen Couture,
Elisabeth Neusy		 source 8
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund source 20
SGF 2011 BASE SAS Implementation of Information Theoretic Feature Selection for Neural Networks Martin B. Jetton source 13
SGF 2011 Building a Good Foundation with Functions Deb Cassidy source 10
SGF 2011 Building a Self-Service SAS Reporting Application: Soup to Nuts George G. Mendoza source 10
SGF 2011 Building Match Code Using SAS David Li source 9
SGF 2011 Building Provider Panels: An Application for the Hash of Hashes Judy Loren,
Richard A. DeVenezia		 source 9
SGF 2011 Bump Hunting With SAS: A Macro Approach to Employing PRIM Jennifer Sniadecki source 9
SGF 2011 Cash Flow Modeling for Fixed-Income Securities: A New Approach Using the SAS Risk Management for Banking Solution Sunny Zhang,
Jeff Hasmann,
Thomas Kimner		 source 14
SGF 2011 Comparison of Probabilistic-D and k-Means Clustering in Segment Profiles for B2B Markets Dipanjan K. Dey,
Satish Garla,
Goutam Chakraborty		 source 9
SGF 2011 Consumer Data Analytics: The Good, the Bad, and the Possibly Deceptive William Neafsey,
Ted Lang		 source 11
SGF 2011 Creating Custom Web Applications with SAS 9.3 Stored Processes Using SAS AppDev Studio Bruce L. Faulkner,
Virgil Q. Sealy		 source 19
SGF 2011 Creating Stylish Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source
zip		 22
SGF 2011 Data Mining in SAS with Open-Source Software Zhengping Ma source 11
SGF 2011 Designing a Grid Computing Architecture: A Case Study of Green Computing Implementation Using SAS Krishnadas Nanath source 11
SGF 2011 Exact Confidence Intervals for Risk-Adjusted Rates Versus Trouble in River City Ted Clay source 11
SGF 2011 Exploring Selective Sweeps with SAS Kristan A. Schneider,
Barbara Schneider		 source 11
SGF 2011 Finding Your Way through the Wilderness: Moving Data from Text Files to SAS Data Files Charles E. Mullin source 15
SGF 2011 Focused Preparation for SAS Certification Exams Terry Barham source 5
SGF 2011 From a Doctors Certificate to an International Health Service Database with SAS Ragna Preal,
Tonio Di Zinno		 source 4
SGF 2011 HELP, My SAS Program isn't Working: Where to Turn When You Need Help Kimberly J. LeBouton source 4
SGF 2011 How to Build ADaM Basic Data Structure from Mock Up Table Kevin Lee source 4
SGF 2011 Improving Searchable Access to SAS Global Forum Conference Papers Using Semantic Analysis Methods and Text Analytic Technologies Richard W. La Valley,
Denise A. Bedford		 source 16
SGF 2011 In Control of Your Data Warehouse Processes With the Help of SAS Stored Processes and the SAS Information Delivery Portal Ralf Vaessen,
Danny Pannemans,
Juan M. Quesada,
Koen Vyverman		 source 24
SGF 2011 Integrating an Apple iOS Application with SAS Platform Services Zachary V. Marshall source 19
SGF 2011 Lets Give Em Something to TOC About: Transforming Your.pdf Files Table of Contents Bari Lawhorn source 18
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
SGF 2011 Logit Models in Practice: B, C, E, G, M, N, O, ... Joseph C. Gardiner,
Zhehui Luo		 source 20
SGF 2011 Macro Design Automation Tool (MDAT): A Methodology for Storing Macro Design Information, Generating Documentation and Code Templates, and Automating Parameter Validation Richard L. Schneck,
Mindy Rodgers		 source 12
SGF 2011 Maintenance for the Minimalist A SAS Administrators Guide to Supporting a Windows SAS Metadata Environment Laura G. Liotus source 10
SGF 2011 Making Use of Incomplete Observations in the Analysis of Structural Equation Models: The CALIS Procedures Full Information Maximum Likelihood Method in SAS/STAT 9.3 Yiu-Fai Yung,
Wei Zhang		 source 20
SGF 2011 Marketing Investment Optimization Framework for AmEx Travelers Cheques, Clustering Consumer Behavior Leveraging SAS/ETS to Uncover Investment Opportunities in an Environment Demanding Quick Decisions Landon Starr,
Pieter van Ispelen		 source 11
SGF 2011 Matching-Adjusted Indirect Comparison Analysis Using Common SAS 9.2 Procedures Elisabetta Malangone,
Steven Sherman		 source 6
SGF 2011 MCPOWER: a Flexible Macro Suite for Generating Monte Carlo Power Estimates for Linear, Logistic, and Poisson Regression Models Ken Kleinman source 5
SGF 2011 Multivariate Data Displays for Evaluating Clusters Robert G. Moore source 9
SGF 2011 New Features in SAS/OR 9.3 Edward P. Hughes,
Manoj Chari		 source 16
SGF 2011 ODS RTF: The Basics and Beyond Lauren E. Haworth source 19
SGF 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
SGF 2011 Optimization of Gas-Injected Oil Wells Robert N. Hatton,
Ken M. Potter		 source 11
SGF 2011 Order, order please: sorting data using PROC REPORT Lisa Fine source 9
SGF 2011 Parlay Standard ODS HTML Pop-Up Boxes into Pop-Up Jackpots Sean Hunt source 6
SGF 2011 PATH and LISMOD Languages in SAS PROC TCALIS for Multigroup Comparisons Fei Gu,
Wei Wu		 source 10
SGF 2011 Present Graph Text-Based Components Using SAS 9.2 Graph Template Language (GTL) Zhuoye Xu source 19
SGF 2011 Rasch Model and Beyond with PROC GLIMMIX: A Better Choice Teck Kiang Tan,
Wenshu Luo,
David Hogan		 source 12
SGF 2011 Ratemaking Using SAS Enterprise Miner: An Application Study Billie Anderson source 20
SGF 2011 Romancing Your Data: The Getting-to-Know-You Phase Carole Jesse source 12
SGF 2011 SAS Data and Stored Processes on a BlackBerry Sy J. Truong source 11
SGF 2011 SAS High-Performance Markdown Optimization Henry Bequet source 9
SGF 2011 SAS WOW! How to Streamline Your SAS Programs by Shedding Lines and Adding Substance Lisa A. Mendez,
Lizette Alonzo		 source 9
SGF 2011 SAS/ETS and the Nobel Prize David A. Dickey source 14
SGF 2011 Single Sign-On Configuration and Troubleshooting for SAS 9.2 Enterprise BI Web Applications Stuart J. Rogers,
Heesun Park		 source 20
SGF 2011 Small Area Estimation for Survey Data Analysis Using SAS Software Pushpal K. Mukhopadhyay,
Allen McDowell		 source 19
SGF 2011 So, That's What's in There? Customer Service through Unstructured Data Bruce Bedford,
Ben Zenick		 source 11
SGF 2011 So, You Want to Be a SAS Press Author! Michael A. Raithel source 3
SGF 2011 Some Tricks to Get the Best Out of SAS and UNIX Chienchung Chen source 6
SGF 2011 Statistical Modeling of Surface Complexation of Selenium onto Iron and Aluminum Oxides using SAS Anpalaki J. Ragavan source 13
SGF 2011 Surfacing Content from SAS Enterprise Business Intelligence in Third-Party Portals Meera Venkataramani,
Gaurav K. Agrawal,
Sam Atassi		 source 15
SGF 2011 Taking Disease and Health Management Analytics into the Next Generation George S. Habek source 13
SGF 2011 Teradata Parallel Transporter: Loading Your SAS Data Just Became Easier Jeffrey Bailey source 16
SGF 2011 Testing the Adequacy of ARMA Models using a Weighted Portmanteau Test on the Residual Autocorrelations Thomas J. Fisher source 5
SGF 2011 The Anti-Curse: Creating an Extension to SAS Enterprise Miner Using PROC ARBORETUM Andrew S. Cathie source 11
SGF 2011 The Perfect Marriage: The SAS Output Delivery System (ODS) and Microsoft Office Chevell T. Parker source 22
SGF 2011 The RANDOM Statement and More: Moving On with PROC MCMC Fang K. Chen source 21
SGF 2011 The SAS Hash Object: It's Time To .find() Your Way Around Peter W. Eberhardt source 17
SGF 2011 The Top 10 Head Scratchers: SAS Log Messages That Prompt a Call to SAS Technical Support Kim M. Wilson source 9
SGF 2011 Tips and Techniques for Automating the SAS Add-In for Microsoft Office with Visual Basic for Applications Tim Beese source 15
SGF 2011 Tips and Techniques for SAS Programmers Helen D. Carey,
Ginger Carey		 source 19
SGF 2011 Understanding the Anatomy of a SAS Deployment: What's in My Server Soup? Mark L. Schneider,
Donna Bennett,
Connie Robison		 source 17
SGF 2011 Unleashing the Power Behind Stored Processes Ian Amaranayake source 16
SGF 2011 Up To Speed With Categorical Data Analysis Gary G. Koch,
Maura E. Stokes		 source 25
SGF 2011 Using Hash Tables to Obtain Matched Post-Hoc Control Populations Jeffrey Reiss,
Elayne Reiss		 source 7
SGF 2011 Using JMP Visualizations to Build a Statistical Model George J. Hurley source 11
SGF 2011 Using SAS Enterprise Guide to Provide Water and Conserve Electricity for SAS Global Forum Attendees! Cecelia A. Adair source 10
SGF 2011 Using SAS PROC TCALIS for Multigroup Structural Equation Modeling with Mean Structures Fei Gu,
Wei Wu		 source 16
SGF 2011 Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study Jiming Fang source 11
SGF 2011 Using SAS Stored Processes with JavaScript and Flash to Build Web-Based Applications Philip A. Mason source 27
SGF 2011 Using the SAS Macro Language and SAS Pipe to Process State Health Care Survey Data Xiaoting Qin,
Cathy Bailey		 source 6
SGF 2011 Visualizing Marginal Effects from Interactions in Generalized Linear Models Xiao Chen,
Brigid Wilson		 source 7
SGF 2011 When ""Anydate"" Doesn't Mean Any Date: A Macro Solution Charlotte King,
John Fleming		 source 7
NESUG 2010 A SAS Application to Identify and Evaluate Outliers Richard Hendra,
Paulette W. Staum		 16
NESUG 2010 Acquisition and Management of Market Data for SAS Risk Dimensions Shankar Yaddanapudi 8
NESUG 2010 An Exercise Using PROC SURVEYREG and NYC HANES: Examining Social Support as a Predictor of Body Mass Index in New York City Jackie Lee 6
NESUG 2010 Binomial Reliability Using DATA Step Calculations Elizabeth A. Schreiber 4
NESUG 2010 Black Belt Hashigana Paul M. Dorfman,
Marina Fridman		 29
NESUG 2010 Clinical Trials Analysis & Reporting Performance Metrics Ellen L. Asam,
Donna Usavage		 6
NESUG 2010 Date Conversions in SDTM and ADaM Datasets Lily Zhang,
Lili Chen,
Huei-Ling Chen		 8
NESUG 2010 Delivering a Simple Randomization list using RTF MinJung Yoon 5
NESUG 2010 Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR Jonathan Steinberg 8
NESUG 2010 Functional Data Analysis on SAS system Le Yin 9
NESUG 2010 Improve Customer Retention by Answering Who and Why? Ward Thomas 8
NESUG 2010 Misquoting Jane Austen in the Name of Quality Assurance Deborah Posner 12
NESUG 2010 Modeling healthcare expenditures using PROC QUANTREG Klaus Lemke 7
NESUG 2010 Modifying Insurance Rating Territories via Clustering Quncai Zou,
Ryan Diehl		 13
NESUG 2010 Multiple Methods in JMP to Interact with R Matthew J. Flynn 18
NESUG 2010 PROC SQL: Tips and Translations Gail Jorgensen,
Susan P. Marcella		 23
NESUG 2010 Quality Control: How to Analyze and Verify Financial Data Michelle M. Duan 5
NESUG 2010 SAS System Options: The True Heroes of Macro Debugging Kevin Russell,
Russ Tyndall		 12
NESUG 2010 See All, Know All: Using PROC DOCUMENT to Produce Integrated Data Set Documentation Jyothi Pabbaraju 17
NESUG 2010 Sensitivity, Specificity, Accuracy, Associated Confidence Interval And ROC Analysis With Practical SAS Implementations Ning Wang,
Nancy N. Zeng,
Wen Zhu		 9
NESUG 2010 Standardization of Reporting Digits: Significant Vs. Rounding Vikash Jain 7
NESUG 2010 Survey Analysis: Options for Missing Data Paul Gorrell 10
NESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen		 20
NESUG 2010 To FREQ, Perchance to MEANS Christopher J. Bost 11
NESUG 2010 TRACKING DATASET DEPENDENCIES IN CLINICAL TRIALS REPORTING Binoy Varghese,
Satyanarayana Mogallapu		 10
NESUG 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 28
NESUG 2010 Two Steps to LIBNAME-Free Coding: Use of Macro Parameters and AUTOEXEC.SAS Zhengyi Fang,
Paul Gorrell		 5
NESUG 2010 Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables Jonas V. Bilenas 15
NESUG 2010 Using SAS/AF to Create an Interactive Interface for Entering and Analyzing Data William 'Gui' Zupko II 22
NESUG 2010 Wallet and Share of Wallet Estimation: A Flexible Methodology Shira Guil Witelson 15
NESUG 2010 ZIP Code 411: Decoding SASHELP.ZIPCODE and Other SAS Maps Online Mysteries Louise S. Hadden,
Michael S. Zdeb		 13
SCSUG 2010 Beyond the Simple Merge in SAS Vanessa Cox source 6
SCSUG 2010 Coding ICD-9 and Charlson Index Score in R for SAS Users Vanessa Cox source 16
SCSUG 2010 How Good is Your School Steve Fleming source 16
SCSUG 2010 Impact of model mis-specification on conditional power in interim survival analysis Chao L. Chen source 9
SCSUG 2010 SAS WOW! How to Streamline Your SAS Programs by Shedding Lines and Adding Substance Lisa A. Mendez,
Lizette Alonzo		 source 9
SCSUG 2010 Using SAS for multivariate analysis of water quality parameters to determine freshwater inflow needs of estuarine organisms in Texas bays Paul Montagna source 5
WUSS 2010 101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 Keh-Dong Shiang source 22
WUSS 2010 An Introduction to Statistical Tests for the SAS Programmer Sara Beck source 10
WUSS 2010 Analytical ETL Matthias Kehder source 5
WUSS 2010 Analyzing Data from Complex Samples Using PROC SURVEYFREQ in SAS 9.2 Kathryn Martin source 7
WUSS 2010 Answering Your Research Questions with Descriptive Statistics Diana D. Suhr source 7
WUSS 2010 Answering Your Research Questions with Inferential Statistics Diana D. Suhr source 10
WUSS 2010 Automation of 'makefile' for Use in Clinical Development Nalin Tikoo source 7
WUSS 2010 Blocked Randomization with Randomly Selected Block Sizes: A Flexible SAS Macro Jimmy Thomas Efird source 3
WUSS 2010 Data Visualization: "Every Picture Tells a Story" or "Putting Atomic Numbers on Your Socks"? AnnMaria De Mars source 11
WUSS 2010 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 7
WUSS 2010 Dummy Coding for Dummies Kathryn Martin source 10
WUSS 2010 Essential Project Management Reports in Clinical Development Nalin Tikoo source 6
WUSS 2010 Expanding Treatment Start and Stop Dates into a Daily Account of Treatment Exposure Faith Beery source 4
WUSS 2010 Fuzzy Hierarchical Merge Algorithm with Boundary Conditions Dale Harrington source 4
WUSS 2010 Habits that Help: Developing Good Programming Style Casey Cantrell source 13
WUSS 2010 HELP, My SAS Program isn't Working: Where to Turn When You Need Help Kimberly J. LeBouton source 4
WUSS 2010 Mathematical Programming for Surface Complexation Modeling Using SAS Anpalaki J. Ragavan source 13
WUSS 2010 Mix-and-Match: Mixed Models for Analyzing Binary Outcomes with Matched Samples Sarah Short source 9
WUSS 2010 ODS RTF: The Basics and Beyond Lauren E. Haworth source 17
WUSS 2010 Practical Uses of the DOW Loop Richard R. Allen source 10
WUSS 2010 PROC MEANS versus PROC SQL for Descriptive Statistics Generation of Weighted Data Keiko I. Powers source 9
WUSS 2010 Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician Rick Wicklin source 18
WUSS 2010 SAS Data and Stored Process on BlackBerry Sy J. Truong source 9
WUSS 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
WUSS 2010 Strategies for Developing and Delivering an Effective Online SAS Programming Course Justina M. Flavin source 11
WUSS 2010 The Next Generation: SAS/STAT 9.22 Robert N. Rodriguez source 20
WUSS 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 28
WUSS 2010 What Every SAS Programmer Should Know: Importing Files Renato G. Villacorte source 4
PHUSE EU 2010 An Animated Guide: the logical cascade throught the - Orres variable [poster] Russell M. Lavery source 13
PHUSE EU 2010 Assesment of Cox Proportional Hazard Model Adequacy Using PROC PHREG and PROC GPLOT Jadwiga Borucka source
presentation source		 13
PHUSE EU 2010 BeST - Bioequivalence Study Template Pekka Heikkilä source
presentation source		 9
PHUSE EU 2010 Define.xml - Tips and Techniques for Creating CRT-DDS Julie A. Maddox,
Mark Lambrecht		 source
presentation source		 10
PHUSE EU 2010 From ACE to ZINC Paul Vervuren source 8
PHUSE EU 2010 Getting your data in good shape for Non Linear Mixed Effects Modeling Vincent Buchheit source
presentation source		 4
PHUSE EU 2010 Implementing, Managing and Validating a Clinical Standard Gene Lightfoot source
presentation source		 12
PHUSE EU 2010 Inference for the Location Shift in 3x3 Crossover Studies: the Median-Scaling Method Stefano Vezzoli source
presentation source		 5
PHUSE EU 2010 Introduction to SAS Clinical Standards Toolkit Andreas Mangold,
Nicole Waechter		 source
presentation source		 16
PHUSE EU 2010 Modeling and Simulation: challenges for the clinical programmer and for the group leader [presentation] Vincent Buchheit source 18
PHUSE EU 2010 Useful Tips for Analysis of Variance (ANOVA) in Multicentre, Placebo Controlled Clinical Trials Joanna Romaniuk source
presentation source		 12
PHUSE EU 2010 Using Data and Text Mining to drive Innovation David Smith source
presentation source		 6
MWSUG 2010 A DOE "Real Life" Example: Solid Phase Optimization of a Diagnostic Immunoassay Steve Figard 11
MWSUG 2010 Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models Douglas Thompson 21
MWSUG 2010 An Introduction to Multiple Imputation of Complex Sample Data Using SAS 9.2 Patricia A. Berglund 12
MWSUG 2010 Characteristic Analysis of the Hospitalized Children with Lower Extremity Fractures in 2006: A Population-Based Approach Yubo Gao 8
MWSUG 2010 Comparing JMP and SAS for Validating Clinical Trials Sandra D. Schlotzhauer 18
MWSUG 2010 Evaluation of Methods to Determine Optimal Cut Points for Predicting Mortgage Default Valentin Todorov,
Douglas Thompson		 11
MWSUG 2010 Exploring, Analyzing, and Summarizing Your Data: Choosing and Using the Right SAS Tool from a Rich Portfolio Douglas Thompson 25
MWSUG 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2010 JMP Simulation-Based Empirical Determination of Robust Scale Estimator and Comparison of Outlier Discrimination Performance Gennadiy Gorelik,
Tarun Chandra		 8
MWSUG 2010 Medical Guidelines: Consensus Panel Versus Healthcare Analytics Patricia B. Cerrito 17
MWSUG 2010 Meta-Programming in SAS with DATA Step Paulo Tanimoto 15
MWSUG 2010 Multivariate Data Displays for Evaluating Clusters Robert G. Moore 9
MWSUG 2010 Power to Detect Therapist Effects in Randomized, Controlled Trials of Interventions in Clinical Psychology Douglas Thompson,
Fary Cachelin,
Ruth Striegel-Moore,
Terry Wilson		 16
MWSUG 2010 PROC MIXED: Underlying Ideas with Examples David A. Dickey 19
MWSUG 2010 SAS and Excel, A Winning Combination, Part 2: DDE (Dynamic Data Exchange), a Popular Solution around the World LeRoy Bessler 53
MWSUG 2010 SAS Data and Stored Process for BlackBerry Sy J. Truong,
Donald L Penix Jr.		 9
MWSUG 2010 SAS System Options: The True Heroes of Macro Debugging Kevin Russell,
Russ Tyndall		 12
MWSUG 2010 Simplifying Drug Discovery with JMP John A. Wass 14
MWSUG 2010 Technical Resources for Beginning SAS Programmers Brian K. Varney 7
MWSUG 2010 The Applied Use of Population Stability Index (PSI) in SAS Enterprise Miner Rex Pruitt 14
MWSUG 2010 The Art of Being Color-Communication-Effective, Not Just Colorful LeRoy Bessler 22
MWSUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes 20
MWSUG 2010 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 17
MWSUG 2010 The SAS Hash Object: It's Time To .find() Your Way Around - Hands-On Workshop Peter W. Eberhardt 17
MWSUG 2010 Using Base SAS and SAS Enterprise Miner to Develop Customer Retention Modeling Rex Pruitt 17
MWSUG 2010 Using the JMP 9 R Interfaces to Perform Bayesian Analyses: Why, How, and What Dave LeBlond 18
SESUG 2010 A Macro for Calculating Summary Statistics on Left Censored Environmental Data using the Kaplan-Meier Method Dennis J. Beal source 6
SESUG 2010 Developing a Model for Person Estimation in Puerto Rico for the 2010 Census Coverage Measurement Program Colt S. Viehdorfer source 12
SESUG 2010 ES_ANOVA: A SAS Macro for Computing Point and Interval Estimates of Effect Sizes Associated with Analysis of Variance Models Jeffrey D. Kromrey,
Bethany A. Bell		 source 10
SESUG 2010 Evolve from a Carpenter's Apprentice to a Master Woodworker: Creating a Plan for Your Reports and Avoiding Common Pitfalls in REPORT Procedure Coding Allison McMahill Booth source 18
SESUG 2010 Merging into Hash: Some Practical Examples of Converting MERGE Statements into Hash Objects Ying Liu source 23
SESUG 2010 Potential Change in Reliability Measures Based on Decreased Sample Size for the Census Coverage Measurement Survey Vincent Thomas Mule source 12
SESUG 2010 Sample Size Calculation to Evaluate Mediation Analysis Rajendra Kadel source 12
SESUG 2010 SAS Macros for Estimating the Attributable Benefit of an Optimal Treatment Regime Jason Brinkley source 12
SESUG 2010 Stationarity Testing in High Frequency Seasonal Time Series David A. Dickey source 10
SESUG 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
SESUG 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 28
SESUG 2010 Two Guys On Hash Paul M. Dorfman source 33
SESUG 2010 Using DICTIONARY Views to Eliminate Tedious Visual Review Christine Davies source 7
SESUG 2010 Using SAS PROC CLUSTER to Determine University Benchmarking Peers Elayne Reiss,
Sandra J. Archer,
Robert Armacost,
Ying Sun		 source 10
PharmaSUG 2010 A Methodology of Quantifying Subjective Measurements Sudhir Singh 5
PharmaSUG 2010 Accessing the metadata from the define.xml using XSLT transformations Lex Jansen 70
PharmaSUG 2010 An error bar macro with PROC GPLOT Shuping Zhang,
Xingshu Zhu		 11
PharmaSUG 2010 Applying ADaM Principles in Developing a Response Analysis Dataset Mei Dey,
Lisa Pyle		 8
PharmaSUG 2010 Assessing superiority/futility in a clinical trial: from multiplicity to simplicity with SAS Philip J. d'Almada,
Laura Aberle		 9
PharmaSUG 2010 Create Comprehensive Patient Profiles with SAS Sanjay N. Matange,
Daniel O'Connor		 12
PharmaSUG 2010 ECG Feature Detection Using SAS Suhas R. Sanjee,
Sridhar Vijendra		 9
PharmaSUG 2010 Estimation of Adherence to Antipsychotic and Diabetic Medications in a Sample of Schizophrenia Patients Venky Chakravarthy,
Thomas N. Taylor		 8
PharmaSUG 2010 Getting that New SAS Programming Job - A Management Perspective Ellen Brookstein,
Allan Glaser,
Laurie Koch		 8
PharmaSUG 2010 How to build ADaM from SDTM: A real case study Jian Hua (Daniel) Huang 12
PharmaSUG 2010 Linear Mixed Models in Clinical Trials using PROC MIXED Danyang Bing,
Xiaomin He		 12
PharmaSUG 2010 Logging the Log Magic: Pulling the Rabbit out of the Hat Adel Fahmy 12
PharmaSUG 2010 Need reporting deliverables the painless and easy way? A batch submit macro call, of course! Jim Cawley,
Jillian Prescod		 8
PharmaSUG 2010 Order, order please: sorting data using PROC REPORT Lisa Fine 9
PharmaSUG 2010 Physician Practice Pattern Variation: Using Data Mining and Predictive Modeling to Identify and Control Costly Treatment Patterns David C. Ogden 12
PharmaSUG 2010 Report Management Using the ODS Document Destination and Report Metadata Brit Harvey 6
PharmaSUG 2010 SAS Programmer's check list-Quick checks to be done before the statistical reports go off the SAS Programmer's table Thomas T. Joseph 7
PharmaSUG 2010 Searching for a Diamond in the Rough: Finding and Integrating SAS Programming Talent John Hotaling,
Lynn M. DiFinizio		 5
PharmaSUG 2010 Surviving Survival Analysis: Basic Knowledge from a Programmer's Viewpoint Deb Cassidy 9
PharmaSUG 2010 The Most Popularly Applied Vehicles in Health Industry for Data Transfer from SAS to Microsoft Excel Guiping Yang 23
PharmaSUG 2010 The SAS Hash Object: It's Time To .find() Your Way Around - Hands-On Workshop Peter W. Eberhardt 17
PharmaSUG 2010 The SAS Hash Object: It's Time To .find() Your Way Around - Tutorial Peter W. Eberhardt 17
PharmaSUG 2010 The SE Domain as Treatment Data Store: Using the SDTM Subject Elements (SE) domain to drive analyzing treatment Jeremy Gratt 10
PharmaSUG 2010 The Super Genius Guide to Generating Dummy Data Brian K. Varney 10
PharmaSUG 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 28
PharmaSUG 2010 Using PROC SURVEYMEANS to determine the dispensing time of prescriptions in pharmacies in South Africa: A user's perspective Martie Lubbe,
Faans Steyn		 12
PharmaSUG 2010 Using SAS Proc Power to Perform Model-based Power Analysis for Clinical Pharmacology Studies Peng Sun 11
PharmaSUG 2010 Using the SAS Clinical Standards Toolkit to Validate CDISC SDTM Data [presentation] Gene Lightfoot,
Bill J. Gibson		 33
PharmaSUG 2010 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis,
Olga Belotserkovsky		 13
PharmaSUG 2010 Which Sub-macros are Called by that macro? Ginger Redner 7
PharmaSUG 2010 Zoom, Zoom: Get Your Document to Scale on All Paper Sizes Daniel O'Connor 19
SGF 2010 A Grad Student 'How-To' Paper on Grant Preparation: Preliminary Data, Power Analysis, and Presentation Elisa L. Priest,
Derek Blankenship		 source 14
SGF 2010 A Nonparametric Method to Assess Treatment Effects for Unbalanced Designs Using SAS/IML Michael Cunningham source 12
SGF 2010 A Picture Is Worth a Thousand Words: Integrated Visualization of Clinical Data Vikash Jain source 10
SGF 2010 A Robust and Flexible Approach to Automating SAS Jobs Under UNIX Mike Atkinson source 9
SGF 2010 Adding Statistical Functionality to the DATA Step with PROC FCMP Stacey M. Christian,
Jacques Rioux		 source
zip		 13
SGF 2010 An Introduction to Multiple Imputation of Complex Sample Data Using SAS 9.2 Patricia A. Berglund source 12
SGF 2010 Analytical ETL, or How to Build a Data Pipe Matthias Kehder source 7
SGF 2010 Analyzing Interval-Censored Survival Data with SAS Ying C. So,
Gordon Johnston		 source 14
SGF 2010 Black Belt Hashigana Paul M. Dorfman,
Koen Vyverman,
Victor P. Dorfman		 source 29
SGF 2010 BootstrapMania!: Re-sampling the SAS Way David L. Cassell source 11
SGF 2010 Challenges in Processing Genomic Data II - One BIG File Derek P. Morgan source 5
SGF 2010 Clinical Trials Simulation: A Publicly Available, Grid-Enabled, GUI-Driven SAS System Peter H. Westfall,
Alex Dmitrienko,
Cynthia DeSouza,
Alin Tomoiaga		 source 13
SGF 2010 Closing the Gap between Credit Access and Risk Management Clark R. Abrahams source 15
SGF 2010 Creating Highly Customized, Binary Microsoft Excel Workbooks Using XML Alan K. Churchill,
Donald J. Henderson		 source 10
SGF 2010 Dancing the Sample-Size Limbo with Mixed Models: How Low Can You Go? Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
Brandon L. Loudermilk,
Jeffrey D. Kromrey,
John M. Ferron		 source 11
SGF 2010 Data and Text Mining in SAS Warranty Analysis 4.2 Ned Maran,
Wei Huang		 source 13
SGF 2010 dATa qWaliti 4 Analytics David Barkaway,
Gerhard Svolba		 source 12
SGF 2010 Dealing with Lab Data: Stacking the Deck in Your Favor Jennifer K. Fulton source 9
SGF 2010 Delivering Decision Support Information to Departmental Units Using the SAS BI Platform Ryan Cherland source 12
SGF 2010 Discovering the Road Less Travelled to SAS Information: A Guide for Your Journey Renee Harper,
Lainie Hoverstad		 source 17
SGF 2010 Efficient Statistical Programming? Reducing SAS Run Time with WHERE Setup Keiko I. Powers source 4
SGF 2010 Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop Bradford J. Danner,
Steven R. Kirby		 source 8
SGF 2010 Evolve from a Carpenter's Apprentice to a Master Woodworker: Creating a Plan for Your Reports and Avoiding Common Pitfalls in REPORT Procedure Coding Allison McMahill Booth source 18
SGF 2010 Flexible HTML Reporting Using Advanced Macro Programming and TableEditor Tagset Smita S. Sumant source 10
SGF 2010 Generating Complex Reports with DDE and VBA Chienchung Chen source 7
SGF 2010 Get the Scoop on the Loop: How Best to Write a Loop in the DATA Step Arthur X. Li source 19
SGF 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey source 12
SGF 2010 Integrated Windows Authentication Support for SAS 9.2 Enterprise BI Web Applications Heesun Park source 10
SGF 2010 Introducing PROC PLM and Postfitting Analyses in Very General Linear Models Randy Tobias,
Weijie Cai		 source 18
SGF 2010 Introduction to SAS Risk Management for Banking Austin Trippensee source 8
SGF 2010 Let SAS Do the Work: Correlation Crossroads Theresa Gilligan,
Cheryl Coon,
Lauren Nelson,
Lori D. McLeod,
Yung-Jui Yang		 source 18
SGF 2010 Not Hazardous to Your Health: Proportional Hazards Modeling for Survey Data with the SURVEYPHREG Procedure Pushpal K. Mukhopadhyay source 13
SGF 2010 Physician Practice Pattern Variation: Using Data Mining and Predictive Modeling to Identify and Control Costly Treatment Patterns David C. Ogden source 12
SGF 2010 Predictions of Infection and Their Accuracy Patricia B. Cerrito,
John C. Cerrito		 source 13
SGF 2010 Principles of Proper Inferences from Complex Survey Data Taylor Lewis source 9
SGF 2010 PROC GEOCODE: Now with Street-Level Geocoding A. Darrell Massengill,
Ed Odom		 source
zip		 16
SGF 2010 Rapid Predictive Modeling for Customer Intelligence Wayne Thompson,
David R. Duling		 source 12
SGF 2010 Rediscovering SAS/IML Software: Modern Data Analysis for the Practicing Statistician Rick Wicklin source 18
SGF 2010 Research in Agriculture Rogerio C. Traballi,
Ieda K. Makiya		 source 1
SGF 2010 Reverse-Engineer a Reference Curve: Capturing Tabular Data from Graphical Output Brian P. Fairfield-Carter source 6
SGF 2010 SAS Code Validation: L.E.T.O. Method Aaron J. Augustine source 12
SGF 2010 SAS Gets Flexy: Themes You Cant Resist Amy Dull,
Sherry Parisi		 source 17
SGF 2010 SAS Presents In-Database Base Procedures in Practice Scott Mebust,
Robert S. Ray		 source 25
SGF 2010 SAS System Options: The True Heroes of Macro Debugging Kevin Russell,
Russ Tyndall		 source 12
SGF 2010 Searching for a Diamond in the Rough: Finding and Integrating SAS Programming Talent Lynn M. DiFinizio,
John Hotaling		 source 5
SGF 2010 Select Matched-Pair Control Sampling Using PROC SURVEYSELECT Yu Feng source 4
SGF 2010 Standard Least Squares Method for Identifying Problem Tools in a Manufacturing Environment Ed Hutchins source 9
SGF 2010 Successful Product Creation by Using Analytics to Discover What Consumers Value Ted Lang,
William Neafsey		 source 11
SGF 2010 Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments Joseph C. Gardiner source 23
SGF 2010 The Applied Use of Population Stability Index in SAS Enterprise Miner Rex Pruitt source 15
SGF 2010 The Power of the Group Processing Facility in SAS Enterprise Miner Sascha Schubert source 13
SGF 2010 The SAS Hash Object: It's Time To .find() Your Way Around Peter W. Eberhardt source 17
SGF 2010 Traffic Lighting Your Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source
zip		 28
SGF 2010 Using AJAX and SAS Stored Processes to Create Dynamic Search-Suggest Functionality Jeffery A. Fallon source 18
SGF 2010 Using New JMP Interactive Modules to Teach Concepts in Introductory Statistics Amy G. Froelich,
William M. Duckworth		 source 9
SGF 2010 Using Recycled Predictions for Computing Marginal Effects Zhongmin Li,
Geeta Mahendra		 source 10
SGF 2010 Using the SAS Survey Procedures for Subpopulation Analysis with Jackknife Repeated Replication Methods in SAS 9.2 Zhuoqiao Wang,
William R. Waldron		 source 9
SGF 2010 Utilizing SAS Marketing Optimization as a Forecasting Tool Dwight J. Mouton,
Robbie Reynolds,
Angela Williams		 source 8
SGF 2010 ZIP Code 411: Decoding SASHELP.ZIPCODE and Other SAS Maps Online Mysteries Louise S. Hadden,
Michael S. Zdeb		 source 14
SGF 2010 Zoom, Zoom: Get Your Document to Scale Properly on All Paper Sizes Daniel O'Connor source 19
SCSUG 2009 A Propaedeutics for PROC SQL Joins Toby Dunn,
Lisa A. Mendez		 9
SCSUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration or Promotion Diane Hatcher,
Sandy McNeill		 12
SCSUG 2009 Random Split SAS data file exactly according to a given probabilty Liang Xie 12
SCSUG 2009 Risk-Based Portfolio Optimization Using SAS Wei Chen 11
SCSUG 2009 Stored Process Tips and Tricks Faron Kincheloe 12
SCSUG 2009 Techniques for Merging Datasets Based on Key Text Fields that Don't Quite Match Steve Fleming 12
SESUG 2009 A Little Stats Won't Hurt You Nathaniel Derby source 18
SESUG 2009 A Macro for Computing the Mantel-Fleisś Criterion Brandon L. Welch,
Jane Eslinger,
Robert F. Woolson		 source 9
SESUG 2009 A New Effect Modification P Value Test Demonstrated Manojkumar B Agravat source 14
SESUG 2009 Cool Maps with Custom Area Devi Sekar source 12
SESUG 2009 Export Customized Graphs Directly into Microsoft Word Using Dynamic Data Exchange Dennis J. Beal source 11
SESUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Diane Hatcher,
Sandy McNeill		 source 12
SESUG 2009 Integrating Geocode Data from the Google Map API and SAS/Graph Shane Trahan,
Mai Nguyen,
Inga Allred,
Preethi Jayaram		 source 9
SESUG 2009 Mapping Nested e-CRF Data into SDTM Domains Venkata Sekhar Bhamidipati,
Kristi L. Garner		 source 5
SESUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
SESUG 2009 Multiple Imputation for Survey Data Analysis Yeats Ye source 7
SESUG 2009 No More Downloading - Using SAS/ODS to Create Graphs and HTML Documents for z/OS Systems - Updated for SAS v9.1 Patricia Wingfield source 10
SESUG 2009 Notes from an Intersection: Google Earth @ SAS Carol A. Martell source 17
SESUG 2009 SAS Add in to MS Office - A Tutorial Angela M. Hall source 24
SESUG 2009 SAS Macro Autocall and %Include Jie Huang source 7
SESUG 2009 The Effect of Missing Data on Repeated Measures Models Maribeth H. Johnson source 10
SESUG 2009 The SAS Hash Object in Action Paul M. Dorfman source 30
SESUG 2009 The Use of SAS in Meta-Analysis Ryan C. Butterfield source 13
PHUSE EU 2009 AN ANIMATED GUIDE: MATCHING TEST AND CONTROL SUBJECTS Russell M. Lavery source 21
PHUSE EU 2009 Analysis of a 3-period 2-treatment pharmacokinetic study to assess scaled average bioequivalence Jochen Müller-Cohrs source 11
PHUSE EU 2009 Experiences and lessons learned from a first SDTM submission project Paul Vervuren,
Bas van Bakel		 source
presentation source		 12
PHUSE EU 2009 Improving Biometrics Processes with Six-Sigma Andrew York source 6
PHUSE EU 2009 ModSpace: Promoting Modeling Dissemination and Reuse Jonathan Chard,
Henning Schmidt		 source
presentation source		 9
PHUSE EU 2009 On the use of spreadsheets for statistical analysis Martin Gregory source 7
PHUSE EU 2009 Safety analysis using Bayesian simulation methods in SAS 9.2 Armin Gemperli source 8
PHUSE EU 2009 Techniques for writing robust SAS macros Martin Gregory source
presentation source		 11
PHUSE EU 2009 The role of the statistician in data monitoring committees Fritz Schindel source 28
PHUSE EU 2009 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis		 source 14
MWSUG 2009 A Comparison of Decision Tree and Logistic Regression Model Xianzhe Chen 10
MWSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
MWSUG 2009 A SAS Macro to Compute Added Predictive Ability of New Markers in Logistic Regression Kevin F. Kennedy,
Michael J. Pencina		 9
MWSUG 2009 Analysis of Emergency Room Waiting Time in SAS Brent Wenerstrom 10
MWSUG 2009 Clinical Programming at a Crossroads: Meeting Today's Challenges and Preparing for Tomorrow Vid J. Polus 5
MWSUG 2009 Communication-Effective Reporting with Email/BlackBerry/iPhone, PowerPoint, Web/HTML, PDF, RTF/Word, Animation, Images, Audio, Video, 3D, Hardcopy, or Excel LeRoy Bessler 79
MWSUG 2009 Dietary Glycemic Load and Risk of Colon Cancer: A Guide to Data Management Svetlana Zelenskiy,
Lauren Byrne,
Cheryl L. Thompson,
Thomas C. Tucker,
David Bruckman,
Li Li		 16
MWSUG 2009 DO's and DON'Ts of Generating Performance Metrics Michael C. Frick 7
MWSUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Diane Hatcher,
Sandy McNeill		 12
MWSUG 2009 Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures Yang Yuan 20
MWSUG 2009 Handy Procedures to Expand Your Analytics Skill Set Mary F. MacDougall 9
MWSUG 2009 Irritable Bowel Syndrome and Mood Disorders Pedro Ramos 6
MWSUG 2009 Mixed Model Selection George C. J. Fernandez 19
MWSUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
MWSUG 2009 Predictive Modeling in Enterprise Miner Versus Regression Patricia B. Cerrito 27
MWSUG 2009 Ranking Predictors in Logistic Regression Douglas Thompson 13
MWSUG 2009 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 17
MWSUG 2009 The Super Genius Guide to Generating Dummy Data Brian K. Varney 5
MWSUG 2009 Turn-Key Performance Metrics using Base SAS and Excel VBA Michael C. Frick 12
MWSUG 2009 Using AJAX and SAS Stored Processes to Create Dynamic Search Suggest Functionality Similar to Google's Jeffery A. Fallon 17
MWSUG 2009 Using Base SAS and SAS Enterprise Miner to Develop Customer Retention Modeling Rex Pruitt 17
PNWSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
PNWSUG 2009 A Robust and Flexible Approach to Automating SAS Jobs Under UNIX Mike Atkinson 17
PNWSUG 2009 Automation of Large SAS Processes with Email and Text Message Notification Seva Kumar 9
PNWSUG 2009 Connect with SAS Professionals Around the World with LinkedIn and sasCommunity.org Kirk Paul Lafler,
Charles E. Shipp		 11
PNWSUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Diane Hatcher,
Sandy McNeill		 12
PNWSUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
PNWSUG 2009 The 7 Habits of Highly Effective SAS-ers David L. Cassell 17
PNWSUG 2009 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
PNWSUG 2009 When Good Looks Aren't Enough Lisa Eckler 11
NESUG 2009 A Picture Is Worth a Thousand Words: Integrated Visualization of Clinical Data Vikash Jain 10
NESUG 2009 A Practical Introduction to implementing the Clinical Data Acquisition Standards Harmonization (CDASH) standards Jennifer Price 7
NESUG 2009 A SAS Macro Approach to Simultaneous Superiority and Noninferiority Testing in Clinical Trials Analysis William Chen,
Margaret M. Coughlin		 5
NESUG 2009 A Tutorial on the SAS Macro Language John J. Cohen 7
NESUG 2009 A Utility Program for Quickly Identifying LOG Error or Warning Messages Zhengyi Fang,
Paul Gorrell		 5
NESUG 2009 Analyzing MCBS Data with PROC SURVEYFREQ: The Maybe Cheesy but Simple Approach Christine E. Leonard 19
NESUG 2009 Automating JMP via Scripting tools and MS Windows COM Matthew J. Flynn 19
NESUG 2009 Developing Standard Processes and Tools to Capture Analysis Requirements for a Clinical Trial Jane E. Marrer 8
NESUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Sandy McNeill 12
NESUG 2009 Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population Pramit A. Nadpara 7
NESUG 2009 Incidence-Density Sampling: Alternative Programming Approaches to Achieve the Same End Robert Gately,
Bruce Turnbull		 10
NESUG 2009 Look Ma, No Hands! Or How We Move SAS Into Microsoft Excel With No Manual Intervention John J. Cohen 8
NESUG 2009 Migration from Mainframe to LINUX: Leading but Still Bleeding Edge Val Volovik 11
NESUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
NESUG 2009 Notes on Programming Style Allan Glaser 8
NESUG 2009 Parsing Useful Data Out of Unusual Formats Using SAS Andrew T. Kuligowski 15
NESUG 2009 PROC CALENDAR: Get organized using SAS! Murphy Choy,
Matthew Komos		 4
NESUG 2009 PROC SQL Tips and Techniques Gail Jorgensen,
Susan P. Marcella		 23
NESUG 2009 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing,
Ray Pass		 20
NESUG 2009 Sol LeWitt and the CDISC Initiative: A Comparative Essay Karin LaPann 10
NESUG 2009 Survey Analysis: Options for Missing Data Paul Gorrell 11
NESUG 2009 Techniques for Labeling SAS Variables Paulette W. Staum 6
NESUG 2009 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2009 The Dynamic Manipulation of Numerous Web Files Ruben Chiflikyan,
Mila Chiflikyan,
Valentina Grouverman		 9
NESUG 2009 The SAS Hash Object in Action Paul M. Dorfman,
Marina Fridman,
Koen Vyverman		 26
NESUG 2009 Using PROC RANK and PROC UNIVARIATE to Rank or Decile Variables Jonas V. Bilenas 16
NESUG 2009 Using SAS Stored Processes in Enterprise Guide 4.2 Frederick E. Pratter 16
NESUG 2009 Using SQL Joins to Perform Weighted Matches on Multiple Identifiers Jedediah J. Teres 8
NESUG 2009 Using the New SURVEY Procedures From a Modeling Perspective Jonas V. Bilenas 13
NESUG 2009 When Good Looks Aren't Enough Lisa Eckler 11
NESUG 2009 Why We Need a Bayesian Approach to Early Detection of Epidemic Outbreaks and Financial Bubbles Using First-Order Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 12
WUSS 2009 A Biometric Analysis of Twin Data Using PROC MIXED Mo Zheng source 8
WUSS 2009 A Little Stats Won't Hurt You Nathaniel Derby source 18
WUSS 2009 An Example of Using Different Methods to Create Excel Outputs from SAS Joyce C. Niland,
Julie A. Kilburn,
Rizvan Mamet,
Anna ter Veer,
Ann Vanderplas,
Rebecca Ottesen		 source 9
WUSS 2009 CDISC Implementation on a Rheumatoid Arthritis Project Partnership Patricia L. Gerend,
Oliver LeConte,
Michelle Zhang,
Chris Price		 source 9
WUSS 2009 Connect with SAS Professionals Around the World with LinkedIn and sasCommunity.org Kirk Paul Lafler,
Charles E. Shipp		 source 11
WUSS 2009 Custom Outcomes Benchmarking Reports Using Dynamic Data Exchange (DDE), the Only Way to Go Joyce C. Niland,
Rebecca Ottesen,
Julie A. Kilburn,
Ann Vanderplas,
Anna ter Veer,
Rizvan Mamet		 source 9
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
WUSS 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
WUSS 2009 Efficient Statistical Programming? - These Small Steps Make the Difference Keiko I. Powers source 16
WUSS 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration or Promotion Diane Hatcher source 12
WUSS 2009 Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis Diana D. Suhr,
Mary Shay		 source 15
WUSS 2009 If I Only Had a Map. Getting from Here to There: Common Approaches to Solving Data Step Logic Issues Kim M. Wilson source 17
WUSS 2009 Improving Efficiency of Excel Summary Production with SAS Data Steps Prior to PROC DBLOAD Export Keiko I. Powers source 10
WUSS 2009 Modeling Spatial and Temporal Variations of Arsenic in Surface Water Anpalaki J. Ragavan source 10
WUSS 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
WUSS 2009 Relentless Testing with SAS Lorne M. Salter source 9
WUSS 2009 Reporting Quality of Cancer Care for the National Comprehensive Cancer Network - A SAS Bridge to Excel Joyce C. Niland,
Anna ter Veer,
Rebecca Ottesen,
Ann Vanderplas,
Julie A. Kilburn,
Dorothy Romanus		 source 10
WUSS 2009 Selecting a Stratified Sample with PROC SURVEYSELECT Diana D. Suhr source 6
WUSS 2009 The Fundamentals of DATA Step Programming II: Looping Arthur X. Li source 13
WUSS 2009 The SURVEYFREQ Procedure in SAS 9.2: Avoiding FREQuent Mistakes When Analyzing Survey Data Kathryn Martin source 6
WUSS 2009 Trend Analyses of Health Indicator and Risky Health Behavior Variables in Nevada George C. J. Fernandez,
Moses Anabila		 source 9
WUSS 2009 Using PROC LOGISTIC to Estimate Willingness to Pay for Fresh Produce Mikael Peterson source 4
WUSS 2009 Using Recycled Predictions for Estimating Marginal Effects Geeta Mahendra,
Zhongmin Li		 source 9
WUSS 2009 Using SAS for Nonparametric Statistics Gerry Hobbs source 7
WUSS 2009 Using SAS PROC TRAJ to Improve Estimates of Assortative Mating for Problem Behavior Kelly Knight source 5
WUSS 2009 Using SAS to Enhance Interviewer Productivity at the University-based Center for Research Design and Analysis George C. J. Fernandez,
Martha Rodriguez-Salazar		 source 11
PharmaSUG 2009 A Little Stats Won't Hurt You Nathaniel Derby 18
PharmaSUG 2009 A Macro for Transforming Almost Any Character Calendar Date into a SAS Date Value Ruben Chiflikyan,
Mila Chiflikyan,
Donna Medeiros		 12
PharmaSUG 2009 A Practical Introduction to Clinical Data Acquisition Standards Harmonization (CDASH) Jennifer Price 5
PharmaSUG 2009 Adhoc Analysis of Site By Treatment Interaction Alan Davis 9
PharmaSUG 2009 ARROW Clinical Data Analysis System: An Integration of Statistical Analysis and Reporting Cheng Jun Tian,
Denis Michel		 9
PharmaSUG 2009 Automate the Process of Creating and Updating Titles and Footnotes of TLG for a Clinical Study Report from a Table Shell Document Xiangchen (Bob) Cui,
Shan Chen,
Mei Wu		 18
PharmaSUG 2009 Concepts and Ideas for Developing and Maintaining a Utility Toolbox of SAS Statistical Procedures David W. Carr 6
PharmaSUG 2009 Customized Efficient Data-Driven SAS Based System Tailored To Clients Needs Mila Chiflikyan,
Mai Nguyen,
Renee Karlsen		 12
PharmaSUG 2009 Detection of Multiple Outliers in UNIVARIATE Data Sets Marek K. Solak 7
PharmaSUG 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
PharmaSUG 2009 Dynamic reporting - a data driven approach Shan Bai 4
PharmaSUG 2009 Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop Bradford J. Danner,
Steven R. Kirby		 8
PharmaSUG 2009 Fitting Compartmental Models to Multiple Dose Pharmacokinetic Data using SAS PROC NLMIXED Jing Su,
Peng Sun,
Xiaodong Li,
Alan H. Hartford		 9
PharmaSUG 2009 Generic System for Generating Data Listings Cheng Jun Tian 15
PharmaSUG 2009 Managing very large EXCEL files using the XLS engine John H. Adams,
Boehringer Ingelheim		 12
PharmaSUG 2009 Methods of Validating Cumulative Incidence Rate Plots Lin Yan 6
PharmaSUG 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
PharmaSUG 2009 Oracle Clinical for SAS Programmers Kevin Lee 8
PharmaSUG 2009 ROC analysis for the evaluation of continuous biomarkers: Existing tools and new features in SAS 9.2 Sanghyuk Shin 15
PharmaSUG 2009 SAS Enterprise Guide 4.2 and Stored Processes Frederick E. Pratter 16
PharmaSUG 2009 Sleepless in Seattle - For How Many Consecutive Nights? Fikret Karahoda,
Eric Qi		 4
PharmaSUG 2009 Statistics for Clinical Trial SAS Programmers 1: paired t-test Kevin Lee 6
PharmaSUG 2009 Those pesky SAS v5 transport files, what's inside? John H. Adams,
Boehringer Ingelheim		 12
PharmaSUG 2009 Using a Personality Inventory to Better Lead Your Team Wayne F. Woo,
Novartis Vaccines		 6
SGF 2009 "Excel"lent SAS Formulas: The Creation and Export of Excel Formulas Using SAS Collin Elliot,
Eli Morris		 source 11
SGF 2009 A Comprehensive Credit Assessment Framework: Overview and Implications for the Subprime Crisis Clark R. Abrahams,
Sunny Zhang		 source 14
SGF 2009 A Flexible Count Data Regression Model Using SAS PROC NLMIXED Nan-Ting Chou,
David Steenhard		 source 14
SGF 2009 A Little Stats Won't Hurt You Nathaniel Derby source 17
SGF 2009 A SAS Programmer's Guide to Generating Define.xml Michael J. Molter source 24
SGF 2009 Achieving High Availability in a SAS Grid Environment Daniel Wong source 20
SGF 2009 Applications of the GLMSELECT Procedure for Megamodel Selection Robert A. Cohen source 25
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
SGF 2009 Behind the Scenes with SAS: Using Custom Graphics in SAS Output Louise S. Hadden source 10
SGF 2009 Best Practice: Optimizing the Cube Build Process in SAS 9.2 Mary Simmons,
Michelle Wilkie		 source 12
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Cool Maps with Custom Areas Devi Sekar source 12
SGF 2009 Data Integration in a Grid-Enabled Environment Cheryl Doninger,
Nancy A. Rausch		 source 11
SGF 2009 Designing Experiments for the Process George A. Milliken source 27
SGF 2009 Effectiveness and Cost of SAS Compression Hitesh Sharma source 9
SGF 2009 Exploring System Performance with SAS Simulation Studio Edward P. Hughes,
Hong Chen,
Emily Lada,
Phil Meanor		 source 10
SGF 2009 Extreme Survey Weight Adjustment as a Component of Sample Balancing (a.k.a. Raking) David Izrael,
Michael P. Battaglia,
Martin Frankel		 source 10
SGF 2009 For Base SAS Users: Welcome to SAS Data Integration! Jeff Stander source 19
SGF 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Diane Hatcher,
Sandy McNeill		 source 12
SGF 2009 Getting the Most Out of the SAS Survey Procedures: Repeated Replication Methods, Subpopulation Analysis, and Missing Data Options in SAS 9.2 Patricia A. Berglund source 12
SGF 2009 Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures Yang Yuan source 20
SGF 2009 How to Leverage Oracle Bulk-load for Performance Jun Cai source 10
SGF 2009 If I Only Had a Map. Getting from Here to There: Common Approaches to Solving Data Step Logic Issues Kim M. Wilson source 17
SGF 2009 Interactive Outlier Review and Regression Analysis in SAS Stat Studio Robert Seffrin source 10
SGF 2009 More than Just the Kappa Coefficient: A Program to Fully Characterize Inter-Rater Reliability between Two Raters Michael Cunningham source 7
SGF 2009 More Tips and Tricks for Creating Multi-Sheet Microsoft Excel Workbooks the Easy Way with SAS Vincent DelGobbo source
zip		 20
SGF 2009 Notes from an Intersection: Google Earth @ SAS Carol A. Martell source 17
SGF 2009 Parsimony vs. Complexity: A Monte Carlo Investigation of Hierarchical and Cross-Classified Modeling Using SAS PROC MIXED Bethany A. Bell,
Corina M. Owens,
Jeffrey D. Kromrey,
John M. Ferron		 source 12
SGF 2009 PROC GEOCODE: Creating Map Locations from Your Data A. Darrell Massengill,
Ed Odom		 source 13
SGF 2009 Reject Inference Techniques Implemented in Credit Scoring for SAS Enterprise Miner Billie Anderson,
Susan Haller,
Naeem Siddiqi		 source 11
SGF 2009 Risk-Based Portfolio Optimization Using SAS Wei Chen source 11
SGF 2009 SAS and JMP Integration for Implementing a Clustering Algorithm for High Dimension Low Sample Size Data George von Borries source 11
SGF 2009 SAS EBI: What Is It, What Will It Do for Me, and Does It Really Work? Frederick E. Pratter source 17
SGF 2009 Selecting a Stratified Sample with PROC SURVEYSELECT Diana D. Suhr source 6
SGF 2009 Stationarity Testing in High Frequency Seasonal Time Series David A. Dickey source 8
SGF 2009 Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission Scott C. Thompson,
Stephanie R. Thompson		 source 7
SGF 2009 The Essentials of SAS Dates and Times Derek P. Morgan source 16
SGF 2009 The Next Generation: SAS Enterprise Miner 6.1 David R. Duling,
Wayne Thompson		 source 10
SGF 2009 The Problem of Regression Assumptions and the Use of Predictive Modeling Patricia B. Cerrito source 20
SGF 2009 The SAS Hash Object in Action Paul M. Dorfman,
Koen Vyverman		 source 26
SGF 2009 The SAS OLAP Server: Understanding and Solving Common Problem Situations Adam Budlong source 12
SGF 2009 Using Base SAS and SAS Enterprise Miner to Develop Customer Retention Modeling Strategies Rex Pruitt source 17
SGF 2009 Using GEE to Model Student's Satisfaction: A SAS Macro Approach Teck Kiang Tan,
Trivina Kang,
David Hogan		 source 12
SGF 2009 Using SAS to Create Proportional Venn Diagrams Shiqun (Stan) Li source 9
WUSS 2008 Clinical Programming at a Crossroads: Meeting Today's Challenges and Preparing for Tomorrow David J. Polus source 5
WUSS 2008 Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. Anpalaki J. Ragavan source 13
WUSS 2008 Computing power and sample size using the using the SAS System Jimmy Thomas Efird source 5
WUSS 2008 Confidence Intervals By Linear or Loglog: You Can Have Them All! PROC LIFETEST In SAS v. 8 vs. v. 9 Daniel DiPrimeo,
Jonathan M. Squire,
Yucheng Shiu,
Minta Wu,
Daisy Wang		 source 5
WUSS 2008 E Pluribus Unum: How to Obtain One Observation from Multiple Observations by Limiting, Reshaping, and Summarizing Data Eric P. Elkin source 13
WUSS 2008 Efficient Statistical Programming? - Let's Work on Those Data Steps First Keiko I. Powers source 4
WUSS 2008 Evaluation of a Hospice Care Referral Program Using Cox Proportional Hazards Model Lida Gharibvand,
Daniel R. Jeske,
Solomon Liao		 source 16
WUSS 2008 Fully "Function"-al: A Brief Tour of Selected SAS Numeric Functions Brenda Beaty source 8
WUSS 2008 Generic Automated Data Dictionary for any SAS data set or format library Dale Harrington source 8
WUSS 2008 How to Find Answers: Using SAS Resources Ginger Carey,
Helen D. Carey		 source 17
WUSS 2008 Moving from Data to Information: SAS Programming to Reduce Statistical and Programming Errors AnnMaria De Mars source 6
WUSS 2008 New SAS Performance Optimizations to Enhance Your SAS Client and Solution Access to the Database Mike Whitcher source 15
WUSS 2008 Simple and Effective Way to Validate Clinical Graphs Rajesh Venkkataram source 10
WUSS 2008 Step your way through Path Analysis Diana D. Suhr source 10
WUSS 2008 Testing Performance of Various Confidence Interval Methods for Non-Normal Means Keiko I. Powers source 8
WUSS 2008 User-friendly SAS Macro Application for performing all possible mixed model selection - An update George C. J. Fernandez source 19
SESUG 2008 A SAS Macro for Statistical Power Calculations in Meta-Analysis Guy Cafri source 8
SESUG 2008 ATTENUATE: A SAS Macro for Computing Confidence Intervals for Disattenuated Correlation Coefficients Jeffrey D. Kromrey,
Robert H. Fay,
Aarti P. Bellara		 source 13
SESUG 2008 Automation Of An Audit Waterfall Using SAS Macros and ODS Tagsets.ExcelXP Denise A. Kruse,
Independent Contractor		 source 12
SESUG 2008 Complex Survey Data Analysis in SAS and the Link between PROC SURVEYFREQ and SURVEYMEANS Taylor Lewis source 5
SESUG 2008 Count Regression Models in SAS David Steenhard,
Nan-Ting Chou		 source 12
SESUG 2008 Creating Order from Chaos Using SAS Functions Kristine L. Dougherty source 6
SESUG 2008 Evaluating Sample Code for an Interview Stephanie R. Thompson source 6
SESUG 2008 Health Status and Attitudes Towards Health in Medical Expenditure Panel Survey (MEPS) Sample Population Pramit Nadpara source 6
SESUG 2008 How to Create Variables Related to Age Joyce Gui,
Shaoan Yu		 source 5
SESUG 2008 Interactive Outlier Review and Regression Analysis in Stat Studio Robert Seffrin source 9
SESUG 2008 Making Sense of SAS Enterprise Business Intelligence (EBI) Log Configuration Files to Gain Valuable Insight on User Behavior Piyush Patel,
Sandeep Kharidhi		 source 4
SESUG 2008 Marketing Mix Modeling: Techniques and Challenges Patralekha Bhattacharya source 6
SESUG 2008 New SAS Performance Optimizations to Enhance Your SAS Client and Solution Access to the Database Mike Whitcher source 15
SESUG 2008 NOTEs in a SASLOG : Of LOST CARDs and MERGE Statements with Repeats of By Values Andrew T. Kuligowski source 14
SESUG 2008 Parsimony vs. Complexity: A Comparison of Two-Level, Three-Level, and Cross-Classified Models Using Add Health and AHAA Data Bethany A. Bell,
Corina M. Owens,
John M. Ferron,
Jeffrey D. Kromrey		 source 13
SESUG 2008 PROC SQL for Exact Testing Trend in Proportions Jonghyeon Kim,
Neal Oden,
Sungyoung Auh		 source 10
SESUG 2008 Reject Inference Methodologies in Credit Risk Modeling Derek Montrichard source 10
SESUG 2008 SAS Add in to MS Office - A Tutorial Angela M. Hall source 25
SESUG 2008 SAS Stat Studio: A Programming Environment for High-End Data Analysts Rick Wicklin source 19
SESUG 2008 Standardization of Lists of Names and Addresses using SAS Character and Perl Regular Expression (PRX) Functions Elizabeth Heath source 6
SESUG 2008 Surviving Survival Analysis - An Applied Introduction Christianna S. Williams source 17
SESUG 2008 Tag Clouds - A list of tokens, sized by relative frequency Richard A. DeVenezia source 7
SESUG 2008 Techniques for Developing Quality SAS Macros Ginger Redner,
Liping Zhang,
Carl Herremans		 source 11
SESUG 2008 The Various Mechanisms of Calculated OLAP Cube Measures Angela M. Hall source 13
SESUG 2008 Tips to Customize SAS/GRAPH ... for Reluctant Beginners et al Claudine Lougee source 5
SESUG 2008 Using PSI to monitor predictive model stability in the database marketing industry Shihong Li,
Sandeep Kharidhi,
Matt Kramer		 source 4
SESUG 2008 Using SAS to Parse External Data Andrew T. Kuligowski source 14
SESUG 2008 Utilizing Hash Tables to Obtain Matched Post-Hoc Control Populations Elayne Reiss,
Jeffrey Reiss		 source 9
PHUSE EU 2008 A Collection of SAS Macros to Calculate Odds Ratios using Spline Regression Martin Gregory source 9
PHUSE EU 2008 An Animated Guide: The Logical Cascade through the --ORRES Variable Russell M. Lavery source 13
PHUSE EU 2008 Concepts and Ideas for Developing and Maintaining a Utility Toolbox of SAS Statistical Procedures David W. Carr source 6
PHUSE EU 2008 Drug Safety Reporting - now and then David J. Garbutt source 23
PHUSE EU 2008 Efficiency Issues in Evaluating Pharmacogenetic Data With SAS Volker Harm,
Stephan Lehr		 source 10
PHUSE EU 2008 Evaluation of Diagnostic Agents: a SAS Macro for Sample Size Estimation Using Exact Methods Stefano Vezzoli source 8
PHUSE EU 2008 Missing Data in Cross-Over Trials Edyta Mrowka source 7
PHUSE EU 2008 SAS Data via.NET "The Power to Show" Nicolas Rouillé source 12
PHUSE EU 2008 Statistically guided review of safety data in clinical trials Michael O'Connell,
Harry Southworth		 source 12
PHUSE EU 2008 Statistics for Non-Statisticians Shambhavi Nayak source 10
PHUSE EU 2008 Using the SAS XML Mapper and ODS to create a PDF representation of the define.xml Lex Jansen source 21
MWSUG 2008 A Picture Is Worth A Thousand Data Points - Increase Understanding by Mapping Data Paul Ciarlariello 10
MWSUG 2008 Analytical Method Improvement Yields Dramatic Decrease in Variation for a Final Formulation Process Roger Norris 20
MWSUG 2008 Classification of Breast Cancer Cells Using JMP Marie Gaudard 34
MWSUG 2008 Confidence Interval Calculation for Binomial Proportions Keith Dunnigan 12
MWSUG 2008 Consensus NMF: A unified approach to two-sided testing of micro array data Paul Fogel,
S. Stanley Young		 41
MWSUG 2008 Data Mining and Analysis to Lung Disease Data Guoxin Tang 9
MWSUG 2008 Data Set Investigator - Automated Exception Reporting from an electronic data dictionary with %DSI() Matthew T. Karafa,
Julie Thornton		 4
MWSUG 2008 Global Clinical Data Classification: A Discriminate Analysis Amurthur Ramamurthy,
Gordon Kapke,
Jodi Yoder		 16
MWSUG 2008 Inverse Prediction Using SAS Software: A Clinical Application Jayawant N. Mandrekar,
Cristine Allmer		 7
MWSUG 2008 Mastectomy Versus Lumpectomy In Breast Cancer Treatment Beatrice Ugiliweneza 17
MWSUG 2008 New SAS Performance Optimizations to Enhance Your SAS Client and Solution Access to the Database Mike Whitcher 15
MWSUG 2008 P Charts for Improved Analysis Vin Kane 16
MWSUG 2008 SAS Stat Studio: A Programming Environment for High-End Data Analysts Rick Wicklin 19
MWSUG 2008 SIPOC and Recursive Partitioning: Powerful Tool Combination for Transactional Six Sigma Projects Amurthur Ramamurthy 17
MWSUG 2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito 19
MWSUG 2008 The Over-Reliance on the Central Limit Theorem Patricia B. Cerrito 6
PNWSUG 2008 SAS EBI: What Is It, What Will It Do for Me, and Does It Really Work? Frederick E. Pratter 17
PNWSUG 2008 SAS Stat Studio: A Programming Environment for High-End Data Analysts Maura E. Stokes 19
PNWSUG 2008 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
NESUG 2008 A PROC SQL Primer Matthew Taylor 11
NESUG 2008 An Animated Guide: the Logical cascade when entering Orres data Russell M. Lavery 11
NESUG 2008 An Introduction to the SAS Survey Analysis PROCs Xiuhua Chen,
Paul Gorrell		 17
NESUG 2008 Analyzing Laboratory Assay Data for Accuracy Sara Hickson,
Jeanne Sparrow		 13
NESUG 2008 Behind the Scenes with SAS Louise S. Hadden 10
NESUG 2008 Box Plots in SAS: UNIVARIATE, BOXPLOT, or GPLOT? Robert Adams 11
NESUG 2008 Breakthrough Improvements through Reliable Modern Testing using SAS and JMP Sunil Kumar Gupta 14
NESUG 2008 Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets Kathy Hardis Fraeman 7
NESUG 2008 Customize SAS Output Files Using SAS Output Delivery System Li Liu,
Junjie Lu		 7
NESUG 2008 Dummy Variables and the Relationship of Deaf and Hearing Growth Using SAS/GRAPH Richard Dirmyer,
Sara Schley		 6
NESUG 2008 Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 15
NESUG 2008 How to Ensure That Your First SAS Conference Is Not Your Last! Richard M. Mitchell 10
NESUG 2008 Managing your results with the DOCUMENT procedure Michael F. Tuchman 16
NESUG 2008 Methodologies for converting Excel Spreadsheets to SAS datasets Karin LaPann 8
NESUG 2008 Multiple Adverse Event Tables without Surgical Intervention Adel Fahmy,
Carol Matthews		 11
NESUG 2008 Plotting Overall Mean and Individual Values in One Graph Jenny H. Zhang 7
NESUG 2008 SAS Macro for Calculating Sample Size and Power on GLM Models with Correlated Binary Outcomes Qianyu Dang,
Patricia R. Houck,
Sati Mazumdar		 5
NESUG 2008 SAS/Graph Tidbits for Customization Claudine Lougee 5
NESUG 2008 Strategies for self-documenting programs Mark Friedman 19
NESUG 2008 Surviving Survival Analysis - An Applied Introduction Christianna S. Williams 17
NESUG 2008 Talking Past Each Other? How to Communicate with Medical Writers When Preparing Clinical Research Manuscripts for Journal Submission Scott C. Thompson,
Stephanie R. Thompson		 7
NESUG 2008 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt 18
NESUG 2008 Top Ten Reasons to Switch to Enterprise Guide (Say Goodbye to PC SAS) Heather Y. Seeno 15
NESUG 2008 Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 Pushpal K. Mukhopadhyay 16
NESUG 2008 Using SAS to Parse External Data Andrew T. Kuligowski 14
NESUG 2008 Using the SAS XML Mapper and ODS PDF to create a PDF representation of the define.xml (that can be printed) Lex Jansen presentation 20
PharmaSUG 2008 %YAMGAST: Yet Another Macro to Generate a Summary Table Zang Xiong,
St. Jude Children's		 10
PharmaSUG 2008 A SAS based solution for define.xml Monika Kawohl 18
PharmaSUG 2008 A SAS Macro for Single Imputation Shuping Zhang,
Jane X. Liao,
Xingshu Zhu		 8
PharmaSUG 2008 Access to Relational Databases Using SAS Frederick E. Pratter 10
PharmaSUG 2008 Annotate facilitates data-driven graphs Meera G. Kumar,
Jeffrey Cortez		 5
PharmaSUG 2008 Approximate Simultaneous Nonparametric Confidence Intervals for All Pair-Wise Comparisons and Comparisons with a Designated (Control) Group in a One-Way Layout Using the SAS System Paul Juneau,
Aditya Sikka,
Jiawei Qiao,
Michelle Gayari		 19
PharmaSUG 2008 Automated SAS Macro for Adverse Event Logistic Regression Analysis Suhas R. Sanjee 8
PharmaSUG 2008 Bayesian Data Analysis Using %WinBUGS Lei Zhang 18
PharmaSUG 2008 EZTABLE Macros Daniel Huang 12
PharmaSUG 2008 Facilitate Statistical Analysis with Automatic Collapsing of Small Size Strata Sunil Kumar Gupta,
Linfeng Xu,
Thousand Oaks		 12
PharmaSUG 2008 From Soup to Nuts: Practices in Data Management for Analytical Performance David R. Duling 25
PharmaSUG 2008 Generating a List of Macro Variables for Lab Data through a Simple Macro Call Huijuan Xu 3
PharmaSUG 2008 Innovative Techniques and Tools to Detect Data Quality Problems Hong Qi,
Allan Glaser		 8
PharmaSUG 2008 Join, Merge or Lookup? Expanding your toolkit Judy Loren,
Sandeep Gaudana		 16
PharmaSUG 2008 Line Feeds - How to detect them and get rid of them? Kalyani Kothapalli 5
PharmaSUG 2008 Public Health Tobacco Surveillance with SAS Mark Tabladillo 7
PharmaSUG 2008 Quickly and Easily Make Your SAS Programs Interactive with Macro QCKGUI Vineet Jain,
Smith Hanley		 12
PharmaSUG 2008 Read Titles and Footnotes from a Table Shell into a SAS Dataset Daniel Huang,
Lois Lynn		 6
PharmaSUG 2008 Robust Approach for Handling Data Issues Discovered During Statistical Programming Vineet Jain,
Smith Hanley		 12
PharmaSUG 2008 Sample Size Estimation for (Bio)equivalence Testing Between Two Treatments Madan G. Kundu 13
PharmaSUG 2008 Sample Size Estimation for Trials of Recurrent Events Kuolung Hu 8
PharmaSUG 2008 Sample Size Estimation Through Simulation of a Random Coefficient Model by Using SAS Junliang Chen,
Shannon Stock,
Chunqin Deng		 8
PharmaSUG 2008 SAS Certification: Are You Ready to Put Your SAS Skills to the Test? Dawn Hopper 9
PharmaSUG 2008 SAS Programming to Calculate AUC in Pharmacokinetic Studies - Comparison of Four Methods in Concentration Data John He 8
PharmaSUG 2008 Statistical Approach to Establishing Bioequivalence William F. McCarthy,
Nan Guo		 12
PharmaSUG 2008 Tips and Tricks in Creating Graphs Using PROC GPLOT Qin Lin,
Bala Cynwyd		 7
PharmaSUG 2008 Using ESTIMATE and CONTRAST Statements for Customized Hypothesis Tests Hanyu Chen 8
PharmaSUG 2008 Using SAS Enterprise Guide 4.0 to find a Correlation between Mortality and Co-morbidities for Prostate Disease Patients Jeong W. Park 18
PharmaSUG 2008 Using the SAS XML Mapper and ODS PDF to create a PDF representation of the define.xml (that can be printed) Lex Jansen 20
PharmaSUG 2008 Validating CDISC SDTM-Compliant Submission-Ready Clinical Datasets with an In-House SAS Macro-Based Solution Bhavin Busa,
Sheila Vince,
Jameelah Aziz		 12
PharmaSUG 2008 When a Period Really is Not a Period and How to Fix It William C. Csont,
Howard M. Proskin		 4
SGF 2008 A Macro for Getting More out of Your ROC Curve Jennifer Lambert,
Ilya Lipkovich		 source 11
SGF 2008 ALPHA_CI: A SAS Macro for Computing Confidence Intervals for Coefficient Alpha Jeffrey D. Kromrey,
Jeanine L. Romano,
Susan Hibbard		 source 12
SGF 2008 Any WAY you Want it: Getting the Right TYPEs of Observations Out of PROC SUMMARY or MEANS Christianna S. Williams source 8
SGF 2008 BFF: Binary Flags Forever (Or, Boole's Paradise) David J. Pasta,
Eric P. Elkin		 source 9
SGF 2008 Building Mathematics-Achievement Models for Developed and Developing Countries: An Application of SAS to Large-Scale, Secondary Data Management and Analysis Ha Phan source 12
SGF 2008 Convergence Failures in Logistic Regression Paul D. Allison source 11
SGF 2008 Creating That Perfect Data Grid Using the SAS Output Delivery System Chevell T. Parker source 31
SGF 2008 Data Integration in a Grid-Enabled Environment Cheryl Doninger,
Gary Mehler,
Nancy A. Rausch		 source 11
SGF 2008 Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis Anpalaki J. Ragavan source 14
SGF 2008 Data Mining to Predict the Occurrence of Resistant Infection Patricia B. Cerrito source 20
SGF 2008 Easy as Pie Charts (Any Way You Slice Em) Jonah P. Turner source 12
SGF 2008 Evaluating Predictive Models: Computing and Interpreting the c Statistic Sigurd W. Hermansen source 9
SGF 2008 Evaluating Sample Code for an Interview Stephanie R. Thompson source 6
SGF 2008 Exporting SAS Data Sets to DDI 3 XML files: Data, Metadata, and More Metadata Larry Hoyle,
Joachim Wackerow		 source 12
SGF 2008 From Soup to Nuts: Practices in Data Management for Analytical Performance David R. Duling,
Howard Plemmons Jr.,
Nancy A. Rausch		 source 24
SGF 2008 Generalized McNemar's Test for Homogeneity of Marginal Distributions Xuezheng Sun,
Zhao Yang		 source 10
SGF 2008 How to Avoid Overwriting Work Data Sets and Work Formats - An Essential Macro Design Topic Zizhong (James) Fan source 7
SGF 2008 In Search for a Golden Algorithm Tamara S. Slipchenko,
Candice Bowman,
Catherine Sugar,
Allen L. Gifford		 source 9
SGF 2008 Integrating Consumer Demand to Improve Shipment Forecasts Charles Chase source 10
SGF 2008 It's a Bird, It's a Plane, It's SQL Transpose! Ted Conway source 5
SGF 2008 Mapping without GMAP: An Innovative Use of the SAS/GRAPH Annotate Facility Peter J. Lund source 11
SGF 2008 Migrating Information in the Amisys Data-Warehouse: Current to Advanced Anthony E. DeGance source 10
SGF 2008 Operational Risk: Economic Capital (EC) Modeling with a Loss Distribution Approach Sabri G. Uner source 14
SGF 2008 Oracle Clinical for SAS Programmers Kevin Lee source 8
SGF 2008 Pricing of Options Using Hybrid Artificial Neural Networks Anant Saxena source 25
SGF 2008 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 18
SGF 2008 Range Formats Made Easy A CreateRangeFormat Custom Task for SAS Enterprise Guide Petr Hustak source 9
SGF 2008 SAS Certification: Are You Ready to Put Your SAS Skills to the Test? Dawn Hopper source 9
SGF 2008 SAS Stat Studio: A Programming Environment for High-End Data Analysts Rick Wicklin source 19
SGF 2008 SAS Web Report Studio Tips and Techniques Keith Myers,
Madelyn Bythell		 source 13
SGF 2008 SAS/OR: Introducing SAS Simulation Studio Edward P. Hughes,
Hong Chen,
Emily Lada,
Phil Meanor		 source 10
SGF 2008 Stupid Human Tricks with PROC SURVEYSELECT David L. Cassell source 5
SGF 2008 Tailored Online Solutions to Meet the Clients' Data Analysis Needs Using SAS/IntrNet Mila Chiflikyan source 13
SGF 2008 Technology Solutions to Detect Fraud and Counter Other IT Risks Eckhardt Kriel source 12
SGF 2008 The Design, Development, and Implementation of a Control-Data Tracking and Analysis System for Immunoassays Using SAS/AF How J. Tsao,
Andrew McKeen,
Roger French,
Andrew S. Bascom,
Chunwei J. Kuo,
Khushroo E. Shroff		 source 9
SGF 2008 The Essentials of SAS Dates and Times Derek P. Morgan source 14
SGF 2008 The Evolution of SAS in Life Sciences Research and Development David Handelsman source 10
SGF 2008 Try, Try Again: Replication-Based Variance Estimation Methods for Survey Data Analysis in SAS 9.2 Anthony B. An,
Pushpal K. Mukhopadhyay,
Randall D. Tobias,
Donna L. Watts		 source 16
SGF 2008 Understanding Your Customer: Segmentation Techniques for Gaining Customer Insight and Predicting Risk in the Telecom Industry Glendon Cross,
Wayne Thompson		 source 14
SGF 2008 Updates to SAS Power and Sample Size Software in SAS 9.2 Wayne E. Watson source 10
SGF 2008 Use of Text Mining to Predict Patient Compliance Christiana Petrou source 15
SGF 2008 Using SAS as an Integrated Component of the Clinical Research Information System Christopher W. Schacherer,
Jeffrey E. Gershenwald		 source 11
SGF 2008 Using SAS Enterprise Miner to Prescribe a Pre-Screen Mailing Rex Pruitt source 6
SGF 2008 Using SAS to Parse External Data Andrew T. Kuligowski source 14
SGF 2008 Using Text Mining to Classify Requests and Prepare Semiautomatic Answers Wolfgang Himmel,
Ulrich Reincke,
Hans W. Michelmann		 source 8
NESUG 2007 10 Things a Beginner Should Know Before Writing a SAS Program Lisa Eckler 7
NESUG 2007 A Consolidated Macro for Iterative Hot Deck Imputation Bruce Ellis 15
NESUG 2007 A SAS Constellation Diagram Has Many Faces Shi-Tao Yeh pdf 17
NESUG 2007 An Algorithm to Compute Exact Power of an Unordered RxC Contingency Table Vivek Pradhan,
Stian Lydersen		 8
NESUG 2007 Application of Ghosh, Grizzle and Sen's Nonparametric Methods in Longitudinal Studies Using SAS PROC GLM Chan Zeng,
Gary Zerbe		 14
NESUG 2007 Automated Real-Time Forecasting of Stream Conditions with SAS Samuel T. Croker,
Shane L. Hornibrook,
Tomonori Ishikawa		 10
NESUG 2007 Calculating the Quartile (Or Why Are My Quartile Answers Different?) David W. Franklin 5
NESUG 2007 Color Your World - With SAS Louise S. Hadden,
Andrew Johnson,
Lauren Olsho		 11
NESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS - Part 1 Vincent DelGobbo 20
NESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS - Part 2 Vincent DelGobbo 19
NESUG 2007 Creating Multiple Cohorts Using the SAS Data Step Jonathan Steinberg 9
NESUG 2007 Customizing Output for Regression Analyses Using ODS and the Data Step Zhenyi Xue 11
NESUG 2007 Effective Forecast Visualization with SAS/GRAPH and ODS Samuel T. Croker 11
NESUG 2007 Evaluating Sample Code for an Interview Stephanie R. Thompson 7
NESUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 18
NESUG 2007 Fuzzy Matching Using the COMPGED Function Paulette W. Staum 10
NESUG 2007 How to QC Your Own Programs Kevin Lee 6
NESUG 2007 Identifying Invalid Social Security Numbers Paulette W. Staum,
Sally Dai		 10
NESUG 2007 Implementing Multiple Imputation in an Automatic Variable Selection Scenario Krishna Mehta,
Mayank Rustagi,
Saurabh Kohli,
Siddharth Tiwari		 4
NESUG 2007 IT Framework for the Implementation of Balanced Scorecard in Healthcare Systems Mahammad Asif Syed,
Christopher Bresson,
Mark Moskowitz		 12
NESUG 2007 Juxtaposition of Tables and Graphs Using SAS /GRAPH Procedures Suhas R. Sanjee,
Sheng Zhang		 7
NESUG 2007 Making Sense of PROC TABULATE Jonas V. Bilenas 17
NESUG 2007 Oracle Clinical for the SAS Programmer Kevin Lee 9
NESUG 2007 Performing Iterative Processes with the Macro Facility Katie Joseph,
Taylor Lewis		 5
NESUG 2007 Print / Read Only the Relevant Pages Kamau Njuguna,
Hsiwei Yu		 7
NESUG 2007 PROC SQL - A Powerful Tool in SAS Swetha Kongara,
Raja Panchumarthi		 9
NESUG 2007 Programming Rolling Regressions in SAS Michael Boldin 12
NESUG 2007 Quick and Dirty Survey Analysis to Assess Real-Time Requirements Joseph Caruso,
Salvatore Potenza		 6
NESUG 2007 Resampling Census Data for Survey Data Analysis Adeline J. Wilcox 10
NESUG 2007 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing,
Ray Pass		 14
NESUG 2007 Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves Mithat Gonen 18
NESUG 2007 Swap the DATA Step for PROC TRANSPOSE Katie Joseph 5
NESUG 2007 The Output Delivery System (ODS) from Scratch Darylene Hecht,
Kevin D. Smith		 14
NESUG 2007 Tips and Tricks in Creating Graphs Using PROC GPLOT Qin Lin 7
NESUG 2007 Use of ODS Technology in SAS Raja Panchumarthi,
Swetha Kongara		 11
NESUG 2007 Using PROC PLS (Partial Least Squares) to Build a Gene Prognosis Profile Chenwei Liu 5
NESUG 2007 Using the New SURVEY Procedures From a Modeling Perspective Jonas V. Bilenas 13
NESUG 2007 Variable Selection and Variable Transformations in SAS Enterprise Miner 5.2 Kattamuri S. Sarma 12
NESUG 2007 What's a "Senior" SAS Position? Deb Cassidy 7
NESUG 2007 Wow! You Did That Map with SAS/GRAPH? Robert E. Allison,
Louise S. Hadden,
Michael S. Zdeb		 19
SESUG 2007 %TRAVERSE: A Knuth-style Recursive Procedure to Obtain Directory/Filenames Andy Barnett source 8
SESUG 2007 A Study on Kentucky Highway Fatalities Highway Fatalities Ryan Glassford source 5
SESUG 2007 Application of an Exact Covariate Matching Macro in Outcome Analysis Guiping Yang source 19
SESUG 2007 Automated Real-Time Forecasting of Stream Conditions with SAS Samuel T. Croker,
Shane L. Hornibrook,
Tomonori Ishikawa		 source 9
SESUG 2007 Cleaning Data the Chauvenet Way Lily Lin,
San Mateo		 source 11
SESUG 2007 Creating Data-Driven Data Set Names in a Single Pass Using Hash Objects Jack Hamilton source 10
SESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
SESUG 2007 Data Mining and Investigating Treatment Options of Osteomyelitis with MRSA Hamed Zahedi source 9
SESUG 2007 Data Mining Episode Groupers Patricia B. Cerrito source 13
SESUG 2007 Information Criteria Methods in SAS for Multiple Linear Regression Models Dennis J. Beal source 10
SESUG 2007 Integrating SAS and Microsoft .NET for Data Analysis Mai Nguyen,
Shane Trahan,
Patricia Nguyen,
Jonathan Cirella		 source 10
SESUG 2007 Interactions between the DATA Step and External Files - INFILE / INPUT and more Andrew T. Kuligowski source 16
SESUG 2007 Music to My Ears: Using SAS to Deal with External Files (and My iPod) Sean Hunt,
Quality Insights		 source 7
SESUG 2007 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 19
SESUG 2007 ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size Jeffrey D. Kromrey,
Kevin B. Coughlin		 source 16
SESUG 2007 Selection Bias Adjustment: Root Canal Therapy and Self-reported Oral Health Mark S. Litaker,
Sandre F. McNeal,
Gregg H. Gilbert		 source 9
SESUG 2007 Simplifying the Sample Design Process with PROC PMENU Liza M. Thompson source 12
SESUG 2007 Sorting out the Possibilities Using Retain Tommy Retzlaff source 3
SESUG 2007 SSN validation - Virtually at no cost Milorad Stojanovic source 6
SESUG 2007 USE OF ARIMA TIME SERIES AND REGRESSORS TO FORECAST THE SALE OF ELECTRICITY Beatrice Ugiliweneza source 11
SESUG 2007 Using PRX to Search and Replace Patterns in Text Strings Wenyu Hu,
Liping Zhang		 source 6
SESUG 2007 Virtual and Traditional Teams: Are they Really Different? (Development and Validation of a Measure using SAS/STAT) Andrea J Roofe source 12
SESUG 2007 Yankees and Red Sox: A Time Series Analysis of Win Percentage Correlations between Professionals Baseball Teams source 11
MWSUG 2007 Analyzing Survey Data Using Decision Trees Morgan C. Wang 25
MWSUG 2007 Chart Smart: Design and Build SAS Graphs That Inform and Influence LeRoy Bessler 20
MWSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
MWSUG 2007 Getting Started with the DATA Step Hash Object Jason Secosky,
Janice Bloom		 9
MWSUG 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga 20
MWSUG 2007 SAS Graphs for BlackBerry, iPhone, PowerPoint, Word, Web/HTML, PDF, or RTF LeRoy Bessler 44
MWSUG 2007 SAS-with-Excel Application Development Tools and Techniques, Expanded Edition LeRoy Bessler 41
WUSS 2007 A SAS Algorithm for Block Randomization Jimmy Thomas Efird,
Miki Hong,
Pollie Bith-Melander,
Chieko Kimata,
Caroline Jiang,
Kathleen Baker		 source 4
WUSS 2007 A Scattered Approach to Quality Control Christina Schmunk,
Komal Sunak		 source 10
WUSS 2007 AN ADAPTIVE ALGORITHM TO COMPUTE POWER FOR THE HOCHBERG SEQUENTIAL REJECTIVE PROCEDURE: A CORRELATED DATA EXAMPLE Jimmy Thomas Efird,
Susan Searles Nielsen		 source 6
WUSS 2007 Automating Regression Analysis and PDF Report Output with the Use of Macros: Tricks for Disabling Default Delimiters and Making Use of Counters Svetlana Smorodinsky,
Bob McLaughlin		 source 7
WUSS 2007 BFF: Binary Flags Forever (Or, Boole's Paradise) David J. Pasta,
Eric P. Elkin		 source 8
WUSS 2007 Case Study: Development of an HIV casefinding algorithm with SAS Enterprise Miner Tamara Slipchenko,
Candice Bowman,
Yuexin (Cindy) Chen,
Catherine Sugar,
Allen L. Gifford		 source 9
WUSS 2007 Cleaning Data the Chauvenet Way Lily Lin,
Paul D. Sherman		 source 11
WUSS 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
WUSS 2007 Detecting Possible Anomalies in Large Data Tables: Methods and Concepts Thomas E. Billings source 7
WUSS 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
WUSS 2007 How to Find Answers: Using SAS Resources Helen D. Carey,
Ginger Carey		 source 17
WUSS 2007 Hypothesis Testing: An SQL Analogy Leroy Bracken,
Paul D. Sherman		 source 5
WUSS 2007 SASHELP Provides Zipcodes David Fickbohm source 4
WUSS 2007 Statistical Inference Illustrated Richard R. Allen source 19
WUSS 2007 Survival Analysis Plots Using SAS ODS Graphics Lida Gharibvand,
George C. J. Fernandez		 source 10
WUSS 2007 The Output Delivery System (ODS) from Scratch Kevin D. Smith source 14
WUSS 2007 Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS Anpalaki J. Ragavan source 11
WUSS 2007 Using the NPAR1WAY Procedure to Investigate Philanthropy Preference Survey Data Joseph E. Earley,
Kimberly Rodriguez		 source 7
WUSS 2007 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
PHUSE EU 2007 A SAS based solution for define.xml Monika Kawohl source 18
PHUSE EU 2007 Bayesian Modelling with SPLUS and the S+flex Bayes library Andrew Jack,
Dawn Woodard		 source 11
PHUSE EU 2007 Bootstrapping in a replicative bioequivalence study Feryal Tanriverdio,
Arne Ring		 source 11
PHUSE EU 2007 Consideration of endogenous backgrounds in PK analyses Fritz Schindel source 10
PHUSE EU 2007 Data mining in the clinical research environment David Smith source 7
PHUSE EU 2007 From local lab to standards and beyond Angelo Tinazzi,
Irene Corradino		 source 10
PHUSE EU 2007 SASMAX - Maximise potential of reusing SAS code Beate Hientzsch source 9
SCSUG 2007 A SAS Macro for Hosmer and Lemeshow's Purposeful Selection Model Building Algorithm: Description and Performance David Williams,
Zoran Bursac,
David K. Hosmer		 6
SCSUG 2007 Convert your SAS/IntrNet Applications to SAS 9 Stored Processes Heather Weinstein 18
SCSUG 2007 Deploying Predictive Models in the Newspaper Industry April Wilson,
Kuao-Tien Chen		 23
SCSUG 2007 Efficiencies of Using Count Data Rather than Raw Data in Regression Steve Fleming 10
SCSUG 2007 How to Import a Text File with a Large Number of Variables But The Layout Stored in a Separate File? Mu Hu,
Steven Yan		 5
SCSUG 2007 The Impact of Data Visualization in a Study of Chronic Disease Gabe Cano,
Brad Smith,
Paul Cuddihy		 17
SCSUG 2007 The Output Delivery System (ODS) from Scratch Kevin D. Smith 14
PNWSUG 2007 An Introduction to Statistical Power Calculations for Linear Models with SAS 9.1 Robin High 17
PNWSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
PNWSUG 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
PNWSUG 2007 Missing Data? A Look at Two Imputation Methods Anita Rocha 8
PNWSUG 2007 Multiple comparisons on 2xc proportions John Horne 12
PNWSUG 2007 Producing Sparkline graphs with SAS Paul OldenKamp 5
PNWSUG 2007 SAS Enterprise Guide and Stored Processes Frederick E. Pratter 17
PharmaSUG 2007 A Low Cost Graphical Patient Profiler with SAS MetaViewApplet Ya Huang 6
PharmaSUG 2007 A Review of Propensity Score Application in Healthcare Outcome and Epidemiology Guiping Yang 24
PharmaSUG 2007 A SAS Macro for Rapid Checking the Data Records Heng Zou 8
PharmaSUG 2007 A SAS Macro to Calculate the Ankle-Brachial Index Rita A. Dale 4
PharmaSUG 2007 A Unified SAS Macro for Generating Randomisation Schedule Madan G. Kundu,
Arjun Roy		 12
PharmaSUG 2007 Automatic Creation of Analysis Datasets for Clinical Trials - A Macro Program John H. Adams 17
PharmaSUG 2007 CDISC Implementation Step by Step: A Real World Example Sy J. Truong 19
PharmaSUG 2007 Challenge the Specs Catherine Edwards 7
PharmaSUG 2007 Clinical Adverse Events Data Analysis and Visualization Shi-Tao Yeh 12
PharmaSUG 2007 Cochran-Armitage Trend Test Using SAS Hui Liu 11
PharmaSUG 2007 Coding for Efficient Presentations: The Case of Trend Tests Karen M. Schlangen 11
PharmaSUG 2007 Comparison of a Non-Parametric Rank-Sum Test Based on a SAS Calculation of the Exact Null Distribution to Dunn's and Miller's Procedures April Slee,
Alice Birnbaum,
Paul Stutzman		 12
PharmaSUG 2007 Creating AND Importing Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
PharmaSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
PharmaSUG 2007 Effects of Multicollinearity in All Possible Mixed Model Selection George C. J. Fernandez 18
PharmaSUG 2007 Exploratory Visualization of Correlation Matrices Shi-Tao Yeh 17
PharmaSUG 2007 From CRF Data to DEFINE.XML: Going "End to End" with Metadata Frank C. DiIorio,
Jeffrey M. Abolafia		 20
PharmaSUG 2007 Getting Started with the DATA Step Hash Object Jason Secosky,
Janice Bloom		 9
PharmaSUG 2007 Growing Growth Curves Using PROC MIXED and PROC NLMIXED Jeffrey M. Gossett,
Pippa Simpson,
Patrick Casey,
Leanne Whiteside-Mansell,
Robert Bradley,
Chan-Hee Jo		 10
PharmaSUG 2007 How to Avoid Overwriting Work Data Sets and Work Formats - An Essential Macro Design Topic Zizhong (James) Fan 7
PharmaSUG 2007 Hypothesis Testing: An SQL Analogy Leroy Bracken,
Boulder Creek		 5
PharmaSUG 2007 Link the Unlinked : Documenting Dependencies Among SAS Programs in a Project Gopal Rajagopal 8
PharmaSUG 2007 Promotion Response Analysis in the Pharmaceutical Industry - Lessons to be Learned From Clinical Trials Methodologies Alejandro Jaramillo 12
PharmaSUG 2007 SAS Macros to Detect and Evaluate Statistical Outliers Marek K. Solak 8
PharmaSUG 2007 SAS Markov Chain Monte Carlo (MCMC) Simulation in Practice Shi-Tao Yeh,
Scott D Patterson		 20
PharmaSUG 2007 Sorting out the Possibilities Using Retain Tommy Retzlaff,
Cara Woodruff		 3
PharmaSUG 2007 Techniques for Developing Quality SAS Macros Ginger Redner,
Liping Zhang,
Carl Herremans		 10
PharmaSUG 2007 The ROC Curve Method for the Assessment of Diagnostic Accuracy William F. McCarthy 12
PharmaSUG 2007 The TRANPOSE Procedure or How to Turn It Around Janet E. Stuelpner 9
SGF 2007 Alternatives for Analysis of Complex Sample Surveys: A Comparison of SAS, SUDAAN, and AM Software Bethany A. Kromrey,
Jeffrey D. Bell-Ellison		 source 10
SGF 2007 An Analysis of Abundance and Catch Probability of Sharks off Coastal Louisiana Rebecca Barry,
Kevin Condrey,
Richard Geaghan,
James P. Christofferson		 source 9
SGF 2007 Attitudes toward Immigrants and Immigration in the United States: Toward a Structural Approach Michael J. Sobczak source 12
SGF 2007 Beyond the Basics - Advanced OLAP Techniques Ben Zenick,
Ben S. Miles		 source 10
SGF 2007 Building Reports with SAS Web Report Studio Eric Rossland source 26
SGF 2007 Categorizing Drug Data in a Complex Survey with SAS PROC FORMAT, INPUT, and PUT Functions Henry H. Xia source 8
SGF 2007 Converting SAS/IntrNet Programs to SAS Stored Processes Heather Weinstein source 18
SGF 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
SGF 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
SGF 2007 Data Mining Physician Decisions for MRSA Hamed Zahedi source 8
SGF 2007 Disagreement on Agreement: Two Alternative Agreement Coefficients Emily Spratt,
Kevin F. Blood		 source 12
SGF 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
SGF 2007 Easy Come, Easy Go - Interactions between the DATA Step and External Files Andrew T. Kuligowski source 16
SGF 2007 Effect Modification Investigation Using SAS - A Model-Building Exercise Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson		 source 11
SGF 2007 Enhancing RTF Output with RTF Control Words and In-Line Formatting Lori S. Parsons source 10
SGF 2007 Get the Best Out of SAS/GRAPH and ODS LeRoy Bessler source 20
SGF 2007 Getting Started with the DATA Step Hash Object Jason Bloom,
Janice Secosky		 source 9
SGF 2007 GLMM_SIM: A SAS Macro for Evaluating the Statistical Integrity of General Linear Mixed Models James T. Hess,
Melinda R. Hines,
Constance Kromrey,
Jeffrey D. Lee,
Reginald S. Luther,
Stephen L. Coraggio		 source 10
SGF 2007 Good Info Comes in Small Multiples - Creating Small Multiple Presentations of Data with SAS and Excel Ted Conway source 8
SGF 2007 Graphing Longitudinal Data: Deaf Children in the "Children of the National Longitudinal Survey of Youth" Paul Dirmyer,
Richard Schley,
Sara Martino		 source 10
SGF 2007 How Suite It Is - Taking Full Advantage of SAS Seamless Integration with Microsoft's Office Suite Michael L. Hennessey,
John C. Compson		 source 12
SGF 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga source 20
SGF 2007 Improving Credit Scoring by Generalized Additive Model Wensui Cela,
Jimmy Liu		 source 9
SGF 2007 Introducing a SAS Macro for Doubly Robust Estimation Michele Westreich,
Daniel Davidian,
Marie Wiesen,
Chris Jonsson Funk		 source 8
SGF 2007 Know Your AREA! Creating Professional SAS Graphics in Clinical Safety Data by Using the AREAS Option in PROC GPLOT Rita Tsang source 15
SGF 2007 Latent Class Analysis in SAS-Promise, Problems, and Programming David M. Thompson source 12
SGF 2007 Learning What You Didn't Know about Your Data Larry W. Douglass source 16
SGF 2007 Making Sense of PROC TABULATE (updated for SAS9) Jonas V. Bilenas source 16
SGF 2007 Marginal Interpretation of Subject-Specific Curves: Logistic-Normal Regression Pedro A. Macchiavelli,
Raul Torres		 source 10
SGF 2007 Mining Transaction/Order Data Using the SAS Enterprise Miner Association Node Xinli Bao source 5
SGF 2007 Model Selection in PROC MIXED-A User-Friendly SAS Macro Application George C. J. Fernandez source 20
SGF 2007 OLS Regression? Auto-Regression? Dynamic Regression? Rodger Zhang source 12
SGF 2007 Performance-Driven Data Integration - An Optimized Approach Vijay Venugopal,
Jim Fang,
Srinivas Bhat		 source 6
SGF 2007 Predicting Software Maintenance Outcomes Using Data Mining and Text Mining Uzma Raja source 9
SGF 2007 Presentation Quality Forecast Visualization with SAS/GRAPH Samuel T. Croker source 10
SGF 2007 Regression Splines with Longitudinal DATA Chan-Hee Gossett,
Jeff M. Simpson,
Pippa M. Jo		 source 6
SGF 2007 SAS Constellation Diagram Has Many Faces Shi-Tao Yeh source 16
SGF 2007 SAS Data Integration Studio and SAS Macro - Working in Harmony for Data Warehousing Projects Tatyana Kovtun source 10
SGF 2007 SAS Enterprise Guide and Stored Processes Frederick E. Pratter source 17
SGF 2007 SAS Macros for Assessing the Symmetry of a Data Set Jayawant N. Mandrekar,
Sumithra J. Cha,
Stephen S. Mandrekar		 source 6
SGF 2007 SAS Macros for Automated Model Selection When the Response Variable Is Nominal-Needs and Solutions Involving PROC CATMOD Bonnie E. Williams,
Todd Kegan		 source 12
SGF 2007 Saving Trees with Output Delivery System (ODS) Angelina D. Diehl,
Nancy Mandrekar,
Jayawant N. Tan		 source 9
SGF 2007 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of the Ordinary Least Squares Regression Model Using SAS Leonor L. Ayyangar source 7
SGF 2007 Text Mining and PROC KDE to Rank Nominal Data Patricia B. Cerrito source 21
SGF 2007 The Electronic Project: Effectively Using Metadata throughout the Project Life Cycle Jeffrey M. DiIorio,
Frank Abolafia		 source 18
SGF 2007 The Output Delivery System (ODS) from Scratch Kevin D. Smith source 14
SGF 2007 Ubiquitous Scoring of 1000+ Warranty Categories Using Predictive Rules Derived from Text Barry deVille source 8
SGF 2007 Using SAS to Determine Sample Sizes for Traditional Two-Stage and Adaptive Two-Stage Phase II Cancer Clinical Trial Designs St. Clare Groulx,
Adrienne Moon,
Kyung-hee Chung		 source 9
SGF 2007 Using SAS to Process Repeated Measures Data - A Hands-On Approach Terry Gareleck,
Cyndie B. Fain		 source 12
SGF 2007 Variable Screening for Multinomial Logistic Regression on Very Large Data Sets as Applied to Direct Response Modeling John A. Cherrie source 12
SGF 2007 Visualizing Statistical Inference Using SAS Barbara G. Schneider,
Kristan A. Schneider		 source 10
SGF 2007 What's a "Senior" SAS Position? Deb Cassidy source 7
SGF 2007 Zipping Right Along: Push-Button SAS Transfers via Command-Line Invocation of the WinZip32 Executable Stephen Fairfield-Carter,
Brian Hunt		 source 7
PNWSUG 2006 Getting Started with the DATA Step Hash Object Jason Secosky,
Janice Bloom		 10
PNWSUG 2006 Making Sense of PROC TABULATE Jonas V. Bilenas 15
PNWSUG 2006 The Wealth of Information Found in the SASHELP Data Dictionary Views and How to Use It Curtis E. Mack 9
PNWSUG 2006 There and Back Again: Navigating Between a SASHELP View and the Real World Anita Rocha 6
PNWSUG 2006 Traversing the Bridges Between SAS and ESRI ArcMap (Note: This is a 2.8mb Powerpoint file.) [presentation] Curtis E. Mack 47
PNWSUG 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
MWSUG 2006 A SAS Macro for Performing Backward Selection in Proc Surveyreg Qixuan Chen 5
MWSUG 2006 All Possible Model Selection in Proc Mixed - A SAS macro application George C. J. Fernandez 19
MWSUG 2006 Avoiding Blind Dates with SAS Derek P. Morgan 14
MWSUG 2006 Dependent Scores within KAI and MBTI Instruments Marie Risov 9
MWSUG 2006 Deploying SAS as the Cornerstone of a Stability Monitoring Program Jeff Gardner 9
MWSUG 2006 Illustrating generation of MSWord tables via HTML with the %cattable and %contable macros Matthew T. Karafa 6
MWSUG 2006 Leveraging SAS Portal: An Executive Dashboard with Customizable Data Source Elibeth R Carpenter 20
MWSUG 2006 Matched Case-Control Techniques: A Data Manager's Case Study Matt P Shevrin 12
MWSUG 2006 Nonparametric Inference for Ordered Alternatives in a One-Way Layout Using Paul Juneau 15
MWSUG 2006 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
MWSUG 2006 That's the Signpost Up Ahead Your Next Stop, SAS IML Gary Allen 10
MWSUG 2006 The Metadata Survey Method: Phase II Derek P. Morgan 21
MWSUG 2006 Time to Failure in UPS Data Collector and UPS Thermal Printer Rebecca E Dennison 10
SCSUG 2006 Creating Zillions of Labels (and Other Documents) the Easy Way with ODS and Microsoft Word Vincent DelGobbo 5
SCSUG 2006 Getting Started with the DATA Step Hash Object Jason Secosky,
Janice Bloom		 10
SCSUG 2006 What's New in SAS Enterprise Miner 5.2 Wayne Thompson,
David R. Duling		 10
PHUSE EU 2006 (Sample) Size DOES Matter John Salter source 10
PHUSE EU 2006 A tour through PTOC ROBUSTREG Michael O'Kelly source 8
PHUSE EU 2006 Adding (p-) Value to Tables -- a Programmer''s Perspective Kathryn Wright source 10
PHUSE EU 2006 Analysis of incomplete two-period crossover trials with SAS PROC MIXED Jochen Müller-Cohrs source 8
PHUSE EU 2006 Basic Statistics and Commonly Encountered Statistical Tests for Statistical Programmers Maria Efstathiou source 12
PHUSE EU 2006 Having Confidence in non-parametric data John Salter source 8
PHUSE EU 2006 How to annotate graphics Sandrine Stepien source 21
PHUSE EU 2006 Integrating Specialized Graphics and Analysis into Production Systems Joel M. Hoffman,
Michael O'Connell		 source 18
PHUSE EU 2006 Interfering with Data Management by the Statistician Jim Groeneveld source 6
PHUSE EU 2006 SAS Programmer Resources on the web: Experiences Acquired Surfing the Net Angelo Tinazzi,
Alessandro Cattaneo		 source 9
PHUSE EU 2006 Self-validating data Christof Binder source 7
PHUSE EU 2006 Some Basic Statistics for Non-Statisticians Gary S. Stevens source 6
PHUSE EU 2006 Titles and Footnotes Macro Jennie McGuirk,
John Woods		 source 8
SESUG 2006 A Simulation Study of Sequential Testing Approaches in Genetics Andres Azuero,
David T. Redden		 source 8
SESUG 2006 Be Your Own Task Master - Adding Custom Tasks to EG Peter W. Eberhardt source 9
SESUG 2006 Creating AND Importing Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
SESUG 2006 Designing Information-Service Products: A Hierarchical Bayesian Approach Nan-Ting Chou source 9
SESUG 2006 Detection and Quantification of Asymmetric Peaks Carry W. Croghan,
Ronald W. Williams		 source 13
SESUG 2006 Effect Modification Investigation Using SAS - A Model Building Exercise Vanessa Bundy,
Paule Barbeau,
Maribeth H. Johnson		 source 10
SESUG 2006 Gene Expression Profiling of DNA Microarray Data using Association rule and Structural Equation Modeling Mussie A. Tesfamicael source 7
SESUG 2006 Generating Participant Specific Figures Using SAS Graphic Procedures Carry W. Croghan,
Marsha Morgan		 source 17
SESUG 2006 Graphics for Statistical Concepts and Data Display David A. Dickey source 19
SESUG 2006 MLM_SIM: A SAS Macro for the Statistical Investigation of Mixed Models Jeffrey D. Kromrey source 15
SESUG 2006 PO04 PUB_BIAS: A SAS Macro for Detecting Publication Bias,
Gianna Rendina-Gobioff,
Jeffrey D. Kromrey		 source 17
SESUG 2006 Potential Duplicate HIV/AIDS Patient Names Across States. A CDC Puzzle Potential Duplicate source 10
SESUG 2006 Sorting ODS HTML Tables by Column Headers Using Javascript Column Headers source 8
SESUG 2006 ST09 Application of the Generalized Linear Model to the Prediction of Lung Cancer Survival Andrew Karem source 18
SESUG 2006 Using Advanced Features of DDE to Customize Formatted Tables in Excel Dennis J. Beal,
Oak Ridge		 source 16
SESUG 2006 What's really in your data? A quick and easy utility to analyze any SAS dataset Michele Laughlin,
Thom Clay,
Jamila Ervin		 source 9
WUSS 2006 A Dashboard Application Developed Using SAS GRAPH Proc Annotate Timothy A. Kenney source 8
WUSS 2006 An Approach Finding the Right Tolerance Level for Clinical Data Acceptance Karen Walker source 5
WUSS 2006 Changing Careers to Become a SAS Programmer in the Biotech/Pharmaceutical Industry Sy J. Truong source 9
WUSS 2006 Easy Methods to Investigate Large Datasets Using ODS Graphics and New Features in SAS 9 Aimee Foreman,
Miriam G. Cisternas		 source 10
WUSS 2006 Environmental Samples Below the Limits of Detection - Comparing Regression Methods to Predict Environmental Concentrations Daniel Smith,
Elana Silver,
Martha Harnly		 source 8
WUSS 2006 Errors, Warnings, and Notes (Oh My) A Practical Guide to Debugging SAS Programs Lora D. Delwiche,
Susan J. Slaughter		 source 15
WUSS 2006 Getting Your Random Sample In PROC SQL Richard Severino source 14
WUSS 2006 Hierarchical Logistic Regression Modeling with SAS GLIMMIX Jian Dai,
Zhongmin Li,
David Rocke		 source 9
WUSS 2006 How to Find Asnwers: Using SAS Resources Ginger Carey,
Helen D. Carey		 source 17
WUSS 2006 How to Leverage Oracle Bulk-load for Performance Jun Cai source 10
WUSS 2006 Mixed Model Selection via the Information-Theoretic Approch using SAS Jesse Albert Canchola,
Torsten B. Neilands		 source 7
WUSS 2006 Model Selection Methods in PROC MIXED George C. J. Fernandez source 19
WUSS 2006 PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS Tyler C. Smith,
Besa Smith		 source 14
WUSS 2006 PROC SQL: A Powerful Tool to Improve Your Data Quality Keh-Dong Shiang source 10
WUSS 2006 Real-Time Sales Volumes Projection with SAS - A Challenge in Implementing a Data-Based Solution in the Automobile Industry Keiko I. Powers source 8
WUSS 2006 Sample Survey Data and the Procs you OUGHT To Be Using David L. Cassell source 13
WUSS 2006 Skewness, Multicollinearity, Heteroskedasticity - You Name It, Cost Data Have It! Solutions to Violations of Assumptions of Ordinary Least Squares Regression Model Using SAS Leonor Ayyangar source 7
WUSS 2006 Techniques For Introducing SAS To Novice Programmers Renato G. Villacorte source 4
WUSS 2006 The Basics of Structural Equation Modeling Diana D. Suhr source 19
WUSS 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
NESUG 2006 An Application of PROC NLP to Survey Sample Weighting Talbot M. Katz 9
NESUG 2006 By's Notsorted Option Karuna Samudral,
Gregory Giddings		 11
NESUG 2006 Custom Reports with Proc SQL: A Real-Life Example Electra Small 11
NESUG 2006 Efficient Processing of Long Lists of Variable Names Paulette W. Staum 9
NESUG 2006 Exporting & Importing Datasets & Catalogs: Utility Macros Adel Fahmy 12
NESUG 2006 Generate Non-overlapping Equivalent Samples to Match an Existing Distribution in SAS Ying Feng,
Lei Yu		 6
NESUG 2006 How Many Keystrokes are Needed to Build this Dataset? Roger S. Cohen,
Kenneth Gold		 5
NESUG 2006 How To Get Around the SAS Customer Support Web Site Marianne L. Whitlock 6
NESUG 2006 Imputation of Missing Date Information for Injuries and Poisonings Reported in the National Health Interview Survey Richard Coles,
Patricia Barnes,
Lois Fingerhut,
Jane Gentleman,
Nathaniel Schenker,
Margaret Warner		 7
NESUG 2006 ISO 8601 - An International Standard for Date and Time Formats Shi-Tao Yeh 5
NESUG 2006 It's About Time! A Primer on Time-Slotting of Data Using SAS Maria Y. Reiss 13
NESUG 2006 Know Your AREA! Creating Professional SAS Graphics in Clinical Safety Data, Using the AREAS Option in PROC GPLOT Rita Tsang 21
NESUG 2006 Linking SAS Analytics, U.S. Census Gazetteer Data and ArcView Geocoding Software for Medicare Fraud Screening Laurie Hamilton 10
NESUG 2006 Managing Macro Variables Using the SASHELP VMACRO View Weifeng Xu,
Junjie Lu		 5
NESUG 2006 Matching with Propensity Scores to Reduce Bias in Observational Studies Marcelo Coca-Perraillon,
Nan Liu		 10
NESUG 2006 Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1 Jodi Blomberg,
Jacqueline K. Long		 12
NESUG 2006 Programmatically Comparing Data Libraries Stephen Hamburg 3
NESUG 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen 18
NESUG 2006 SAS Data Views Simply Stated James C. Stokes 3
NESUG 2006 SAS/AF and Internet Explorer: Capturing Web Forms Data Entry in Thick Client Applications Richard A. DeVenezia 10
NESUG 2006 Segmentation For Insurance Payments Michael Sherlock 10
NESUG 2006 Standard SAS Macros for Standard Date/Time Processing Qin Lin,
Timothy D. Kelly		 18
NESUG 2006 Subsetting Observations from Large SAS Data Sets Christopher J. Bost 6
NESUG 2006 Survey Logistic Regression: Some SAS-SUDAAN Comparisons Xiuhua Chen 7
NESUG 2006 The Most Useful New Parts of SAS 9 Philip A. Mason 22
NESUG 2006 Using PROC CDISC Chauthi Nguyen 5
NESUG 2006 Using SAS to Analyze the Summary Data Zhenyi Xue 6
NESUG 2006 Using SAS to Find Bootstrap Estimates of Field Air Sampling Data James Slaven,
David Bartley,
Mike Rose,
Martin Harper,
Michael Andrew		 4
NESUG 2006 Using SAS to improve the quantification of environmental chemistry samples Charles Dow,
Anthony Aufdenkampe		 8
NESUG 2006 Using the ORACLE LIBNAME Engine to Reduce the Time it Takes to Extract Data From an ORACLE Database David D. Chapman 13
NESUG 2006 Wanna Date? Stephen J. Rhoades 13
NESUG 2006 When is New Really New? Proc Compare Gives the Details Jared Smith 7
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
NESUG 2006 ZIP Code 411: A Well-Kept SAS Secret Louise S. Hadden,
Michael S. Zdeb		 12
PharmaSUG 2006 CDISC Implementation, Real World Applications Sy J. Truong 26
PharmaSUG 2006 Client Communication: Transform Specifications into Code with Spreadsheets John Cantrell 5
PharmaSUG 2006 De-Identification of Clinical Trials Data Demystified Jack Shostak 12
PharmaSUG 2006 Drawkcab Gnimmargorp: Test-Driven Development with FUTS Jeff Wright 12
PharmaSUG 2006 Enhancing RTF Output with RTF Control Words and In-Line Formatting Lori S. Parsons 10
PharmaSUG 2006 External Data Utility (EDU), a SAS Tool to Manage Data from Acquisition to Database Release Margaret Hung,
Mohit Goel,
Sheila Moody		 11
PharmaSUG 2006 From GLM to GLIMMIX-Which Model to Choose? Patricia B. Cerrito 7
PharmaSUG 2006 Generating Half-normal Plot for Zero-inflated Binomial Regression Zhao Yang,
Xuezheng Sun		 12
PharmaSUG 2006 Good Programming Practices in Clinical Trial - a Check Program John H. Adams 12
PharmaSUG 2006 Large Scale Standard Macros - A Methodical Approach to Development and Implementation Jeremy Gratt,
John H. Adams		 18
PharmaSUG 2006 Longitudinal Graphs with Annotate Jasmin Fredette 11
PharmaSUG 2006 Mapping Clinical Data to a Standard Structure: A Table Driven Approach Nancy Brucken,
Paul K. Slagle		 7
PharmaSUG 2006 Perfecting the Publishing Process with SAS 9.1.3 P. Chris Holland 12
PharmaSUG 2006 PROC FORMAT is Our Friend Erin M. Christen 20
PharmaSUG 2006 Randomization in Clinical Trial Studies David Shen,
Zaizai Lu		 8
PharmaSUG 2006 Sample Size Calculation and Timeline Estimate for Progression-Free Survival Chung-Kuei Chang 10
PharmaSUG 2006 SAS, GNU & Open Source: MinGW Development Tools and Sample Applications Brian P. Fairfield-Carter 12
PharmaSUG 2006 Say 'Hello' to #BYVAL: Re-introducing a Hot Little # Stephen Hunt 6
PharmaSUG 2006 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter 9
PharmaSUG 2006 Systematic Inductive Method for Imputing Partial Missing Dates in Clinical Trials Ping Liu 8
PharmaSUG 2006 The Skinny on Processing Very Large Health Claims Data Sets Gopal Rajagopal,
Blue Bell		 10
PharmaSUG 2006 Zipping Right Along: Push-Button SAS Transfers via Command-Line Invocation of the WinZip32 Executable Stephen Hunt,
Brian P. Fairfield-Carter		 7
SUGI 2006 %hlmdata and %hlmrmpower: Traditional Repeated Measures vs. HLM for Multilevel Longitudinal Data Analysis?Power and Type I Error Rate Comparison Hua Fang source 11
SUGI 2006 A Strategy for Managing Data Integrity Using SAS Brett J. Peterson source 9
SUGI 2006 Achieving High Availability for the SAS9 Metadata Server Steve Holzworth,
Clarke Thacher		 source 5
SUGI 2006 An Evaluation of Splines in Linear Regression Deborah M. Hurley,
James Hussey,
Robert McKeown,
Cheryl L. Addy		 source 11
SUGI 2006 Application of Experimental Design in Consumer Direct-Mail Solicitations Jonas V. Bilenas source 9
SUGI 2006 Application of Proc Discrim and Proc Logistic in Credit Risk Modeling Jin Li source 9
SUGI 2006 Beyond the Basics - Advanced OLAP Techniques Brian O. Miles,
Ben Zenick		 source 10
SUGI 2006 Computation of Correlation Coefficient and Its Confidence Interval in SAS David Shen,
Zaizai Lu		 source 6
SUGI 2006 Data Profiling Using Base SAS Software: A Quick Approach to Understanding Your Data Susan J. Nowlin source 8
SUGI 2006 Developing, Managing, and Evaluating a Standard Macro System Albert Mo source 10
SUGI 2006 Dishing Up SAS/IntrNet Applications - A Second Helping of a Grand Recipe Jonah P. Turner source 18
SUGI 2006 Drawkcab Gnimmargorp: Test-Driven Development with FUTS Jeff Wright source 12
SUGI 2006 E-mail from your SAS Session: How and Why David H. Johnson source 22
SUGI 2006 Empirical Power Estimation for Phase I Dose-Proportionality Studies Based on Power-Law Model Using Confidence Interval Criteria Jihao Zhou,
Jane Li,
Bruce Coate,
Melissa Chen		 source 11
SUGI 2006 Estimate the False Discovery Rate Using SAS Jason A. Osborne source 10
SUGI 2006 Exploiting the Link Between the Wilcoxon-Mann-Whitney Test and a Simple Odds Statistic Ralph G. O'Brien,
John M. Castelloe		 source 12
SUGI 2006 Exploratory or Confirmatory Factor Analysis? Diana D. Suhr source 17
SUGI 2006 Finding a Duplicate in a Haystack Brett J. Peterson source 10
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
SUGI 2006 FREQ n' MEANS Marge Scerbo,
Michael S. Lajiness		 source 19
SUGI 2006 Getting Your Random Sample In PROC SQL Richard Severino source 14
SUGI 2006 Graphical Analysis of Clandestine Methamphetamine Laboratories Utilizing PROC GMAP: A Visual Inventory of Activity across the United States Wendy B. Dickinson,
Anthony Onwuegbuzie,
Constance Hines		 source 12
SUGI 2006 Graphing Laboratory Data and an Introduction to the Custom Macro %GRAPHME Adrienne Groulx source 7
SUGI 2006 Implementing a Multiple Comparison Test for Proportions in a 2xc Crosstabulation in SAS Alan C. Elliott,
Joan S. Reisch		 source 6
SUGI 2006 Interactive Graphs from the SAS System Shi-Tao Yeh source 10
SUGI 2006 Investigating Open Source Project Success - A Data Mining Approach to Model Formulation, Testing and Validation Uzma Raja,
Marietta J. Tretter		 source 7
SUGI 2006 Load Balancing and Offloading Static Web Content for SAS9 Web Applications with Apache and BEA WebLogic Justin Choy,
Ken Matz,
Darrell Barton		 source 22
SUGI 2006 Make the Invisible Visible: A Case Study of Importing Multiple Worksheet Files By Using the SAS9 LIBNAME Engine in Microsoft Excel Zizhong (James) Fan source 7
SUGI 2006 METAPERM2: A SAS Macro for Permutation Tests of Linear Models in Fixed and Random Effects Meta-Analyses Jeffrey D. Kromrey,
Kristine Y. Hogarty		 source 10
SUGI 2006 Predicting Child Support Payment Delinquency Using SAS Enterprise Miner 5.1 Jodi Blomberg,
Jacqueline K. Long		 source 12
SUGI 2006 PROC SQL: A Powerful Tool to Improve Your Data Quality Keh-Dong Shiang source 10
SUGI 2006 PROC TEMPLATE - The Basics Lauren E. Haworth source 20
SUGI 2006 Reading Microsoft Word XML Files with SAS Larry Hoyle source 10
SUGI 2006 Receiver Operating Characteristic (ROC) Curves Mithat Gonen source 18
SUGI 2006 SAS by Design - A Disciplined Approach John W. Davison Jr. source 8
SUGI 2006 SAS with Excel Application Development: Tools and Techniques LeRoy Bessler source 20
SUGI 2006 SAS/OR - Making Sense of Network Data with Network Visualization Workshop Edward P. Hughes,
Phil Meanor		 source 20
SUGI 2006 Save Those Eyes: A Quality-Control Utility for Checking RTF Output Immediately and Accurately Michael Hagendoorn,
Jonathan M. Squire,
Johnny Tai		 source 10
SUGI 2006 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
SUGI 2006 Subject Profiles Generated with Macro Profile System (MPS) John Iwaniszek source 12
SUGI 2006 Sur La Table: Creating Microsoft Excel PivotTables in a Jiffy from SAS Data Ted Conway source 6
SUGI 2006 Teaching Your RTF Tagset to Do Clever Tricks Wayne Hester source 7
SUGI 2006 Text Mining with "Holographic" Decision Tree Ensembles Barry deVille source 7
SUGI 2006 The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN Arlene B. Siller,
Linda Tompkins		 source 5
SUGI 2006 The Enigma of Survey Data Analysis: Comparison of SAS Survey Procedures and SUDAAN Procedures Katherine L. Baisden,
Paul Hu		 source 11
SUGI 2006 The Estimation of Sensitivity and Specificity of Clustered Binary Data William F. McCarthy,
Nan Guo		 source 10
SUGI 2006 The TRANSPOSE Procedure or How to Turn It Around Janet E. Stuelpner source 9
SUGI 2006 title=Like Wine, the TTEST Procedure Improves with Age John M. Castelloe,
Randall D. Tobias		 source 14
SUGI 2006 U.S. Health and Nutrition: SAS Survey Procedures and NHANES Jeffrey M. Gossett,
Chan-Hee Jo,
Pippa M. Simpson		 source 9
SUGI 2006 Using SAS for Statistical Modeling of Nutrient Removal and Water Quality Aspects from Constructed Wetlands Rupali Mohansingh,
George C. J. Fernandez,
Keith E. Dennett		 source 11
SUGI 2006 Using SAS to Process Repeated Measures Data Terry Fain,
Cyndie B. Gareleck		 source 11
SUGI 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
SUGI 2006 Web-Site Analytics - A Land Mine or a Gold Mine? Jerry J. Hosking source 19
SUGI 2006 What's New in SAS Enterprise Miner 5.2 Wayne Thompson,
David R. Duling		 source 10
SUGI 2006 XSLT-Friendly XML: Generating Structured XML from SAS Data Ted Conway source 6
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
SUGI 2006 ZIP Code 411: A Well-Kept SAS Secret Louise S. Hadden,
Michael S. Zdeb		 source 11
PNWSUG 2005 A Sort of a Mess - Sorting Large Datasets on Multiple Keys David L. Cassell 4
PNWSUG 2005 Delivering Dynamic Content with the SAS Stored Process Web Application Frederick E. Pratter 17
PNWSUG 2005 SAS with Style: Creating your own ODS Style Template for RTF Output Lauren E. Haworth 20
PNWSUG 2005 The Wealth of Information Found in the SASHELP Data Dictionary Views and How to Use It Curtis E. Mack 9
PNWSUG 2005 Using Datastep programming and Proc SQL in SAS To calculate daily hospital occupancy Renu Gehring,
Rajiv Sharma		 11
SESUG 2005 _05 1 companyName streetAddress cityName stateAbbr ZIPCode Brewers Den source 5
SESUG 2005 _05 Robustness in Meta-analysis: A Macro for Computing Point Estimates and Confidence Intervals for Standardized Mean Differences,
Cliff's Delta,
Kristine Y. Hogarty,
Jeffrey D. Kromrey,
John M. Ferron		 source 10
SESUG 2005 A Snazzy Graph Featuring Five Variables, Axis Breaks, and Good Resolution Rachel A. Baker,
Savannah River		 source 4
SESUG 2005 Clustering Analysis of Micro Array Data John Schwarz source 12
SESUG 2005 COPYGRID: Tracking Multi-Developer (and - Machine) Programs from Development to Production Lawrence W. Altmayer source 9
SESUG 2005 Getting Started with SAS/Access for Oracle F. Joseph Kelley source 19
SESUG 2005 Manipulating Data: Elements of the DATA Step Language Paul M. Dorfman source 19
SESUG 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo source 20
SESUG 2005 Proc Transpose or How to Turn It Around Janet E. Stuelpner source 7
SESUG 2005 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2005 SAS with Style: Creating your own ODS Style Template for RTF Output Lauren E. Haworth source 20
SESUG 2005 Statistical Shape Analysis with SAS Katherine Gerber source 14
SESUG 2005 Systematic SAS Development, A Disciplined Approach John W. Davison Jr. source 8
SESUG 2005 The Missing Link: Data Analysis with Missing Information Venita DePuy source 9
SESUG 2005 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
SESUG 2005 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 source 21
SESUG 2005 Using SAS to Process Repeated Measures Data Terry Fain source 10
SCSUG 2005 Join, Merge or Lookup? Expanding your toolkit Judy Loren,
Sandeep Gaudana		 15
SCSUG 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo 20
SCSUG 2005 ODS Output of Proc SurveyMeans for a Bobcat Hunter Survey Rebecca G. Frederick,
E. Barry Moser,
Greg Linscombe,
Mike Olinde		 18
PHUSE EU 2005 A Practical Introduction to the Bootstrap Using the SAS System Nancy Barker source 17
PHUSE EU 2005 A Sample Web-Based Reporting Container for ODS XML Reports Christopher R. Olinger source 14
PHUSE EU 2005 Analysis of Pharmacokinetic Data : Using SAS to Create an Autonomous Environment for the Pharmacokineticist Stephen Prust source 7
PHUSE EU 2005 Complex Laboratory Data, Strategies and Tools for a Way out of the Maze Benjamin Szilagyi,
Christof Binder		 source 4
PHUSE EU 2005 Effective communication with colour LeRoy Bessler source 20
PHUSE EU 2005 Experiences of using ODS : moving from ASCII to RTF output Stephen Prust source 16
PHUSE EU 2005 Power calculation of non-inferiority trials assuming poisson distributions Corinna Miede,
Jochen Müller-Cohrs		 source 11
PHUSE EU 2005 SAS with Excel Application Development: Tools and Techniques LeRoy Bessler source 20
PHUSE EU 2005 The Developing Role of XML David Shannon source 12
MWSUG 2005 Comparison Of Enterprise Miner And SAS/STAT For Data Mining Patricia B. Cerrito 12
MWSUG 2005 Creating Zillions of Labels (and Other Documents) the Easy Way with ODS and Microsoft Word Vincent DelGobbo 5
MWSUG 2005 Information Discovery Using Decision Trees Morgan C. Wang 79
MWSUG 2005 Mining Transactional And Time Series Data Michael J. Leonard 26
MWSUG 2005 Relationship Between Total Charges And Reimbursements In Outpatient Visits Using SAS GLMMIX Chakib Battioui 6
MWSUG 2005 Using SAS To Assess Dose Proportionality In Dose Escalation Studies Keith Dunnigan 12
WUSS 2005 A Comparison of Missing Data Handling Methods Catherine Truxillo source 20
WUSS 2005 A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED MaryAnne DePesquo Hope source 7
WUSS 2005 A Programmer's Guide to Statistical Procedures Jim Edgington source 4
WUSS 2005 Analysis of Group-Randomized Designs: A clinic-based breast cancer rescreening example Jesse Albert Canchola,
Regina Otero-Sabogal		 source 9
WUSS 2005 Can Matrix Capture Missing Data Values? Keh-Dong Shiang source 9
WUSS 2005 Coding with Compassion - Giving Everyone Access to The Power to Know Jennifer S. Harper,
Lisa Pappas		 source 15
WUSS 2005 Computing Exact Power for Multivariate Repeated Measurements Design Jimmy Thomas Efird,
Kavitha Alimineti		 source 4
WUSS 2005 Habits that Help: Developing Good Programming Style Casey Cantrell source 13
WUSS 2005 How to Find Answers: Using SAS Resources Ginger Carey,
Helen D. Carey		 source 15
WUSS 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo source 20
WUSS 2005 Patient Profile, a Simple Approach Sandy Chang source 4
WUSS 2005 Principal Component Analysis vs. Exploratory Factor Analysis Diana D. Suhr source 10
WUSS 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
WUSS 2005 SAS with Style: Creating your own ODS Style Template for RTF Output Lauren E. Haworth source 20
WUSS 2005 Simple Tests of Hypotheses for the Non-statistician: What They Are and Why They Can Go Bad Arthur L. Carpenter source 9
WUSS 2005 Using Proc Mixed to Model Daytime Log-Cortisol Slopes Eric Neri,
Helena Chmura Kraemer,
Arthur M. Noda,
Yung Wang		 source 4
NESUG 2005 A Painless Approach to Convert SAS Statistical Outputs to Presentations Hongwei Zhang 3
NESUG 2005 A Time Machine: Using SAS Macros Adel Fahmy 13
NESUG 2005 A Tool to Reduce the Time Used in the Preparation of the Statistical Review Aid Used for Electronic Submission Eunice Ndungu 6
NESUG 2005 Across the Great Divide: Creating PC-Ready Formatted Output Using Base SAS Output Delivery System on the Mainframe Barbara Lockley 6
NESUG 2005 Adopting New Techniques: Statistical Procedures to Determine the Agreement between two Laboratory Methods Ashley Peterson,
Larry W. Douglass		 13
NESUG 2005 Algorithm and Software for Yield Analysis Igor Mandel,
Victor Kamensky		 16
NESUG 2005 Another Factorial File Compression Experiment Using SAS and UNIX Compression Algorithms Adeline J. Wilcox 10
NESUG 2005 Automated Conversion of Medicare Data Files into SAS Data Sets Stephanie Raymond,
Jia Lan,
David Shamlin		 7
NESUG 2005 Creating Zillions of Labels (and Other Documents) the Easy Way with ODS and Microsoft Word Vincent DelGobbo 5
NESUG 2005 Delivering Dynamic Content with the SAS Stored Process Web Application Frederick E. Pratter 17
NESUG 2005 Freq n' Means Marge Scerbo,
Michael S. Lajiness		 19
NESUG 2005 In Search of the LOST CARD Andrew T. Kuligowski 9
NESUG 2005 Introduction to Experimental Design using SAS Jonas V. Bilenas 13
NESUG 2005 Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 20
NESUG 2005 Join, Merge or Lookup? Expanding your toolkit Judy Loren,
Sandeep Gaudana		 15
NESUG 2005 Large Scale Standard Macros - A Methodical Approach to Development and Implementation Jeremy Gratt,
John H. Adams		 18
NESUG 2005 Long to Wide Transformation---A More Flexible Approach Using SAS/IML Liang Xie 8
NESUG 2005 Mainframe Files On Your Windows Desktop with SAS/CONNECT Michael G. Sadof 5
NESUG 2005 Making Sense of PROC TABULATE Jonas V. Bilenas 15
NESUG 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo 20
NESUG 2005 Optimize Your Data Columns - A Space Consideration Jacksen Lou 8
NESUG 2005 PROC SURVEYMEANS Roger L. Goodwin 8
NESUG 2005 PROC SURVEYSELECT: A Simply Serpentine Solution for Complex Sample Designs Louise S. Hadden 8
NESUG 2005 Systematic SAS Development [or A Discipline of SAS Development] John W. Davison Jr. 7
NESUG 2005 The Big Four: Analyzing Complex Sample Survey Data Using SAS, SPSS, STATA, and SUDAAN Arlene B. Siller,
Linda Tompkins		 7
NESUG 2005 The Survey Data Book an Easy Read via Proc Tabulate and the ODS RTF Destination Electra Small 11
NESUG 2005 Using Data Set Options in PROC SQL Kenneth W. Borowiak 9
NESUG 2005 Using DDE to connect SAS Results with Excel Rebecca Symes 7
NESUG 2005 Using the Oracle LIBNAME Engine and Oracle Hints to Reduce the Time it Takes to Extract Data from an Oracle Database David D. Chapman,
Selva Sridharma		 13
PharmaSUG 2005 A Dynamic SAS/IntrNet Example with Help of ASP and JavaScript: Online Clinical Trial Randomization List Generator Sijian Zhang,
Mark Carpenter,
Michael Windle		 6
PharmaSUG 2005 A SAS Macro for Generating Informative Cumulative/Point-wise Bar Charts Bar Charts Xuejing Mao 5
PharmaSUG 2005 An Approach Finding the Right Tolerance Level for Clinical Data Acceptance Karen Walker 6
PharmaSUG 2005 An Automated Reporting Application for Safety Sciences Fang Dong 9
PharmaSUG 2005 An Introduction to Regular Expressions with Examples from Clinical Data Richard F. Pless,
Highland Park		 8
PharmaSUG 2005 Analyzing Clinical Drug Utilization Jianming He,
Brian Griffin		 10
PharmaSUG 2005 Calculating Posterior Probability of the Maximum Contrast Using PROC IML Akira Wakana,
Isao Yoshimura,
Chikuma Hamada		 6
PharmaSUG 2005 CDISC for electronic submissions - A Table Translation Program John H. Adams,
Boehringer Ingelheim		 15
PharmaSUG 2005 Constructing Stack Tables With Proc Report and ODS RTF Lei Zhang 11
PharmaSUG 2005 Creating Efficient SQL - The De-normalize Transpose Paul D. Sherman 14
PharmaSUG 2005 Implementation of the CDISC SDTM at the Duke Clinical Research Institute Jack Shostak 12
PharmaSUG 2005 Issues in Intermittent Coding of Concomitant Medication Julius Asubonteng 5
PharmaSUG 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo 20
PharmaSUG 2005 Pharmaceutical Programming: From CRFs to Tables, Listings and Graphs, a process overview with real world examples Mark Penniston 8
PharmaSUG 2005 Power Analysis and Sample Size Estimation using Bootstrap Xiaomei Peng,
Guangbin Peng,
Celedon Gonzales		 7
PharmaSUG 2005 Prepare Data Listings with SAS Software for Database Audit Jay Zhou,
Larry Shen		 8
PharmaSUG 2005 Programming Tips and Examples for Your Toolkit, II John Morrill 12
PharmaSUG 2005 Speed up your SAS Programs Karthikeyan Chidambaram 5
PharmaSUG 2005 Streamlining Processes: Reconciling Programming and Documentation James E. Witt 11
PharmaSUG 2005 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 14
PharmaSUG 2005 Using SAS/IntrNet as a Web-Enabled Platform for Clinical Reporting Paul M. Gilbert 6
PharmaSUG 2005 Visualizing Minimum Spanning Tree (Working with Pharmacal Genetic data) Zhuoye Xu,
Xiaohui Wang		 6
PharmaSUG 2005 Want to Do a Better Job? - Want to Do a Better Job? - Select Appropriate Statistical Analysis in Healthcare Research Liping Huang 7
SUGI 2005 A Comparison of Two Procedures to Fit Multi-Level Data: PROC GLM versus PROC MIXED Erin D. Shannon,
MaryAnne DePesquo Hope		 source 7
SUGI 2005 A Macro for Computing Point Estimates and Confidence Intervals for Mahalanobis Distance Kristine Y. Hogarty,
Jeffrey D. Kromrey,
Melinda R. Hess,
John M. Ferron		 source 10
SUGI 2005 A Sample Web-Based Reporting Container for ODS XML Reports Christopher R. Olinger source 14
SUGI 2005 A SAS Macro to Generate Enhanced Kaplan-Meier Plots Heidi Christ-Schmidt,
Matthew T. Downs		 source 12
SUGI 2005 Across the Great Divide: Creating PC-Ready Formatted Output Using Base SAS Output Delivery System on the Mainframe Barbara L. Lockley source 5
SUGI 2005 An Introduction to SAS Applications of the Windows Scripting Host Brian P. Fairfield-Carter,
Stephen Hunt,
Tracy Sherman		 source 10
SUGI 2005 Applying Microsoft Word Styles to ODS RTF Output Lauren E. Haworth source 9
SUGI 2005 ASP.NET and SAS?A New Model for Developing Web-based SAS System Applications Graham G. Murray source 8
SUGI 2005 Behind the Scenes at SAS-L F. Joseph Kelley source 19
SUGI 2005 Best Practices in Enterprise Data Management Gary Mehler source 14
SUGI 2005 Calculation of the Kappa Statistic for Inter-Rater Reliability: The Case Where Raters Can Select Multiple Responses from a Large Number of Categories Catherine R. Stein,
Raymond B. Devore,
Barbara E. Wojcik		 source 8
SUGI 2005 CALL EXECUTE: A Powerful Data Management Tool Denis Michel source 13
SUGI 2005 Catch the Stream: Stored Processes, ODS, and Java Jeff Wright source 11
SUGI 2005 Customizing ODS Statistical Graphics Shi-Tao Yeh source 17
SUGI 2005 Empirical Power for Higher-Order Crossover Designs in Comparative Bioavailability Clinical Trials Jihao Zhou,
Bruce Coate		 source 10
SUGI 2005 End-to-End Web Reporting Using SAS Enterprise Guide 3.0: Who Does What and When Marje Fecht,
Peter R. Bennett		 source 14
SUGI 2005 Estimation of Type III Error and Power for Directional Two-Tailed Tests Using PROC POWER Cam-Loi Huynh source 10
SUGI 2005 Imputation of Categorical Variables with PROC MI Paul D. Allison source 14
SUGI 2005 In Search of the LOST CARD Andrew T. Kuligowski source 9
SUGI 2005 Instant SAS Applications With VBScript, Jscript, and dHTML Brian P. Fairfield-Carter,
Stephen Hunt,
Tracy Sherman		 source 10
SUGI 2005 Introducing SAS Forecast Studio Michael J. Leonard,
Brenda Wolfe,
Paddy Fahey		 source 16
SUGI 2005 Introduction to SAS Enterprise Guide 3.0 for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 source 20
SUGI 2005 Java in SAS: JavaObj, a DATA Step Component Object Richard A. DeVenezia source 16
SUGI 2005 Mainframe SAS for the 21st Century Kryn Krautheim source 6
SUGI 2005 Make the Invisible Visible: A Case Study of Using ODS Inline Formatting Style Zizhong (James) Fan source 7
SUGI 2005 Making Sense of PROC TABULATE Jonas V. Bilenas source 12
SUGI 2005 Maximum Likelihood Parameter Estimation with Incomplete Data Catherine Truxillo source 19
SUGI 2005 Mining Transactional And Time Series Data Michael J. Leonard,
Brenda Wolfe		 source 26
SUGI 2005 Model Building in PROC PHREG with Automatic Variable Selection and Information Criteria Emily M. Cain,
Ken Kleinman,
Ernest S. Shtatland		 source 10
SUGI 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo source
zip		 20
SUGI 2005 No %'s or &'s: Macros Inside the SAS DATA Step William C. Murphy source 4
SUGI 2005 On GSForward-The Experimental Variable Selection Node in SAS Enterprise Miner 5.1 Leonardo Auslender source 6
SUGI 2005 Power Simulation for Categorical Data Using the RANTBL Function Joel A. Dubin,
Theodore R. Holford,
Peter H. Van Ness		 source 12
SUGI 2005 Principal Component Analysis versus Exploratory Factor Analysis Diana D. Suhr source 11
SUGI 2005 PROC FREQ and PROC MEANS: To Stat or Not to Stat Marge Scerbo,
Michael S. Lajiness		 source 17
SUGI 2005 PROC TABULATE and ODS RTF: The Perfect Fit for Complex Tables Louise S. Hadden source 10
SUGI 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
SUGI 2005 Programmatically Measure SAS Application Performance on Any Computer Platform with the New LOGPARSE SAS Macro Michael A. Raithel source 14
SUGI 2005 Publishing Jack Vance: The SAS System as a Tool for Literary Analysis Koen Vyverman source 23
SUGI 2005 Rounding after Multiple Imputation with Non-Binary Categorical Covariates Christopher F. Ake source 11
SUGI 2005 Rule Your Data with The Link King (a SAS/AF application for record linkage and unduplication) Kevin M. Campbell source 9
SUGI 2005 SAS Batch Portal Data Collection and Real-Time Monitoring Application of SAS Batch Jobs Bernard Nicoll source 11
SUGI 2005 SAS with Style: Creating Your Own ODS Style Template for PDF Output Lauren E. Haworth source 20
SUGI 2005 Slicing and Dicing the SAS Data Set William C. Murphy source 5
SUGI 2005 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing,
Ray Pass		 source 9
SUGI 2005 Software Testing Fundamentals-Concepts, Roles, and Terminology John E. Bentley source 12
SUGI 2005 Stationarity Issues in Time Series Models David A. Dickey source 17
SUGI 2005 Statistical Analysis of Steel Formability Arkady M. Kushnir source 12
SUGI 2005 Statistical Methods in Diagnostic Medicine Using SAS Software Jayawant N. Mandrekar,
Sumithra J. Mandrekar		 source 8
SUGI 2005 Testing the Hypothesis of a Kroneckar Product Covariance Matrix in Multivariate Repeated Measures Data Anuradha Roy,
Ravindra Khattree		 source 11
SUGI 2005 The Configuration Wizard: The Essential Final Step in Completing Your SAS BI Installation and Deployment Alec S. Fernandez source 11
SUGI 2005 The Rolling Stones Were Right (Time Is on Our Side): An Application of SAS Multiprocessing Trang X. Lance source 11
SUGI 2005 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
SUGI 2005 Through the Looking Glass: Two Windows into SAS Peter W. Eberhardt,
Richard A. DeVenezia		 source 9
SUGI 2005 Using Perl As A Front-end For SAS Database Updates John M. Shingler,
Mollie Van Loon,
Ken Rosenberry		 source 7
SUGI 2005 Using SAS to Estimate Proportional Odds Ratio Model for Meta-Analysis of Diagnostic Tests Mir S. Siadaty,
Jianfen Shu		 source 10
SUGI 2005 Using SAS to Process Repeated Measures Data Terry Fain,
Cyndie B. Gareleck		 source 10
SUGI 2005 Using the Proportional Odds Model for Health-Related Outcomes: Why, When, and How with Various SAS Procedures Marc Gameroff source 8
SUGI 2005 Using XML Mapper and XMLMAP to Read Data Documented by Data Documentation Initiative (DDI) Files Larry Hoyle source 10
NESUG 2004 A Regression Primer with a Touch of SAS Vincent Maffei 14
NESUG 2004 A SAS Macro to Generate Enhanced Kaplan-Meier Plots Heidi Christ-Schmidt,
Matthew T. Downs		 13
NESUG 2004 Analyzing Complex Survey Data: Some SAS-SUDAAN Comparisons Xiuhua Chen,
Paul Gorrell		 15
NESUG 2004 Automating the Production of Formatted Item Frequencies using Survey Metadata Tim Tilert,
Jane Zhang,
Lewis Berman		 7
NESUG 2004 Building Logistic Regression Models to Analyze Survey Data with Complex Sampling Design Zhenyi Xue,
Euni Lee,
Monika Datary,
Anthony Wutoh		 4
NESUG 2004 Building Web Applications with AppDev Studio 3 Frederick E. Pratter 8
NESUG 2004 Creating Estimated Data to Match Data Characteristics from a Desired Group Towanda Sullivan 8
NESUG 2004 Developing a National Health and Nutrition Examination Survey (NHANES) SAS/Web-Based Quality Assurance Application Jane Zhang,
Tim Tilert,
Edward Stammerjohn,
Lewis Berman,
Alan Fisher		 9
NESUG 2004 Excellent Alternatives for Moving Data from SAS to Excel Ralph E Winters 12
NESUG 2004 From SAS to Excel via XML Vincent DelGobbo 14
NESUG 2004 Graphical Display of Data - A Nonparametric Approach Shi-Tao Yeh 18
NESUG 2004 Introduction to Using Enterprise Guide for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 19
NESUG 2004 Macro Madness: Creating Macro Calls using PROC FREQ Wendi L. Wright 13
NESUG 2004 ODS and Statistical Graphics Shi-Tao Yeh 19
NESUG 2004 Perusing, Choosing, and Not Mis-using: Non-parametric vs Parametric tests in SAS Venita DePuy,
Paul Pappas		 5
NESUG 2004 Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss		 18
NESUG 2004 SAS Certification: What you need to know about how we did it! Paul Winters,
Michael E. Tomb		 6
NESUG 2004 SCL Rides Again! Porting RESMENU to the Web Michael L. Davis,
Ralph W. Leighton		 20
NESUG 2004 Serving the Kitchen Sink: SAS Portfolio Analysis Haftan M. Eckholdt 12
NESUG 2004 Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! Richard M. Mitchell 16
NESUG 2004 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 17
NESUG 2004 Where to Get SAS Help When the Local Goo-Roo Is Out Earl R. Westerlund 3
SCSUG 2004 Fishing in Texas with SAS Richard Glenn Willey 4
SCSUG 2004 Grid Computing at Texas Tech University using SAS Ronald H. Bremer,
Jerry Perez,
Philip Smith,
Peter H. Westfall		 9
SCSUG 2004 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 17
SCSUG 2004 Providing Standardization to DHI (Dairy Herd Improvement) Databases with SAS and using SAS products to deliver user friendly applications. Michael Tomaszewski,
Sandeep Gaudana		 12
SCSUG 2004 Ranking Efficiency, Properness with SAS Probability Functions and Procedures Dagan Zhang 8
SCSUG 2004 Using PROC SURVEYMEANS to Analyze A Creel Survey Rebecca G. Frederick,
E. Barry Moser,
George Melancon		 10
SCSUG 2004 Using SAS to Automate Statistical Reports Madhukar Joshi 15
SCSUG 2004 Using SAS/IntrNet to Generate Data Products from a Database: The SAO Online USAS Guide Kirby L. Cossey,
Olin Davis,
Thomas J. Winn Jr.		 13
SESUG 2004 A Roadmap to SAS Documentation Pat Moell source 12
SESUG 2004 An Overview of Non-parametric Tests in SAS: When, Why, and How Paul A. Pappas,
Venita DePuy		 source 5
SESUG 2004 Binary Logistic Regression Model Optimization Jerry Musial source 6
SESUG 2004 Case Studies in Time Series David A. Dickey source 10
SESUG 2004 Faster Flat File Testing John E. Bentley source 2
SESUG 2004 Fresh SAS Programming Tunes from Hashville Paul M. Dorfman,
Alexander A. Martchenko		 source 17
SESUG 2004 Installing SAS/IntrNet on Windows and Linux Xiao (Michelle) Zhuang,
Sharon Schiro		 source 4
SESUG 2004 Methods of Storing SAS Data into Oracle Tables Lois Levin source 9
SESUG 2004 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo source 20
SESUG 2004 Panel: Launching a Web Application Mark Tabladillo source 2
SESUG 2004 Software Testing Fundamentals-Concepts, Roles, and Terminology John E. Bentley source 12
SESUG 2004 Sounding the Trumpet: Effective Failure Notification Don Hopkins source 8
SESUG 2004 Spatial Statistics Using the SAS Bridge for ESRI Patricia B. Cerrito,
Carol Hanchette,
William Dakan,
George R. Barnes,
Robert Forbes		 source 15
SESUG 2004 Statistical Analysis of Gene Expression Micro Arrays John Schwarz source 8
SESUG 2004 Structural Equation Modeling Assessing Micro Array Data Mussie A. Tesfamicael source 10
SESUG 2004 The SAS Data Step: Where Your Input Matters Peter W. Eberhardt source 17
SESUG 2004 Using Dynamic Data Exchange to Customize Formatted Reports in Microsoft Excel Dennis J. Beal source 19
SESUG 2004 Using SAS to Facilitate Data Comparisons M. Rita Thissen,
Elizabeth Heath		 source 12
WUSS 2004 A SAS Macro to Calculate Standardized Cronbach's alpha using Upper Bound phi Coefficient for Dichotomous Items Weimin (Wiliiam) Sun,
Alan W. Stacy,
Huiyan Ma,
Chih-Ping Chou		 source 10
WUSS 2004 Applying Statistical Analysis to Improve Formability of Steel Arkady M. Kushnir source 12
WUSS 2004 Computing Exact Power and Sample Size for Hotelling's T2-test and Related Multivariate Procedures Jimmy Thomas Efird,
Kavitha Alimineti		 source 4
WUSS 2004 Constructing Analysis Files: A Multi-Tiered Approach Tyler Cole source 7
WUSS 2004 Creating Custom Tables Using SAS Tyler Cole source 11
WUSS 2004 Cut Out The Cut And Paste: SAS Macros For Presenting Statistical Output Myungshin Oh,
Mel Widawski		 source 9
WUSS 2004 Is Your Code Complex? Here's One Way to Tell Michael C. Harris source 8
WUSS 2004 Master/Detail Reporting in Base SAS Jack Hamilton source 10
WUSS 2004 Methods For Combining SAS Data Sets Of Varying Sizes: Which Method To Use When? Hugh Roghmann source 7
WUSS 2004 PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji		 source 14
WUSS 2004 SAS Data Quality - A Technology Overview Eric Hunley source 13
WUSS 2004 SAS with Style: Creating your own ODS Style Template for RTF Output Lauren E. Haworth source 20
WUSS 2004 SAS/AF: A Hands-On Introductory Workshop Deborah A. Testa source 11
WUSS 2004 Speed up your SAS Programs Karthikeyan Chidambaram source 5
WUSS 2004 Text Processing with the New Perl Regular Expression Functions Richard F. Pless source 11
WUSS 2004 The Continuing Quandary of Survey Data Part II:Comparison of SAS Procedures and SUDAAN Procedures Katherine L. Baisden source 20
WUSS 2004 The Never-Ending Battle of Efficiencies: Tips on How To (Efficiently) Change Local Data Structures To Match Nationally Designated Structures Beth Newsom,
Jennifer Ellis		 source 9
WUSS 2004 The SAS Calculations of Areas Under the Curve (AUC) for Multiple Metabolic Readings Keh-Dong Shiang source 14
WUSS 2004 Using Microsoft Excel for Data Presentation Peter Godard,
Cyndi Williamson		 source 18
MWSUG 2004 Analysis of Complex Sample Survey Data Patricia A. Berglund 7
MWSUG 2004 Presenting the Binary Logit Model Effectively using SAS Hun Myoung Park 11
MWSUG 2004 Revelation and Persuasion: Solutions for a Finite Work Day in an Era of Information and Image Overload LeRoy Bessler 31
MWSUG 2004 SAS Code for Estimating the Confidence Interval for a Standardized Effect Size S. Jonathan Mends-cole 6
MWSUG 2004 SAS Macros to Implement Survival Analyses for Oncology Clinical Trials Adeline Yeo 5
MWSUG 2004 Using SAS Enterprise Guide to Automate and Customize Statistical Analyses for Pharmaceutical Data Alex Dmitrienko,
Cindy Lee		 6
MWSUG 2004 Using SAS Special Missing Values to Enhance Display and Analysis of Survey Research Data Francine Cannarozzi 5
PNWSUG 2004 Building an Online Entry Form with WebAF (and a Little Java) Frederick E. Pratter 19
PNWSUG 2004 Complex Sampling Meets the Blazing Turkey of Glory David L. Cassell 8
PNWSUG 2004 Dynamically Change Your Perspective with the Link King (and a Little SAS/AF) Kevin M. Campbell 9
PNWSUG 2004 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
PNWSUG 2004 SAS with Style: Creating your own ODS Style Template for RTF Output Lauren E. Haworth 10
PNWSUG 2004 Tips and Techniques for Large Files [presentation] Andrew H. Karp 37
PharmaSUG 2004 "Haven't We Met Somewhere Before?" and Other Useful Lines (of code) to Get to Know Their Data (Version 2.0) David Rucker 10
PharmaSUG 2004 2D-gel Proteomics in Biomarker Discovery Mark Carpenter,
Craig Rowell,
Heath McCorkle,
Coral Lamartiniere		 7
PharmaSUG 2004 A Technique to Create a Numeric Variable from a Character Variable Hany Aboutaleb 6
PharmaSUG 2004 An Introduction to SAS Applications of the Windows Scripting Host Stephen Hunt 12
PharmaSUG 2004 Automate Pharmacodynamic Analyses of Repeated Measure in Clinical Trials Using SAS Mixed Procedure Adeline Yeo,
Grace Li		 5
PharmaSUG 2004 Constructing Analysis Files: A Multi-Tiered Approach Tyler Cole 7
PharmaSUG 2004 Data Summary at a Glance Varsha C. Shah 8
PharmaSUG 2004 Incremental Methods of Imputation for Longitudinal Data with Informative Missingness Naum M. Khutoryansky 4
PharmaSUG 2004 Instant SAS Applications With VBScript, Jscript, and dHTML Brian P. Fairfield-Carter,
Tracy Sherman,
Stephen Hunt		 12
PharmaSUG 2004 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 14
PharmaSUG 2004 PROC POWER: V9.1 Deborah J. Bauer 6
PharmaSUG 2004 Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss		 18
PharmaSUG 2004 SAS with Style: Creating your own ODS Style Template for RTF Output Lauren E. Haworth 20
PharmaSUG 2004 Simultaneous Nonparametric Inference in a One-Way Layout Using the SAS System Paul Juneau 17
PharmaSUG 2004 Statistical Application of SAS in Method Comparison Analysis David Shen 13
PharmaSUG 2004 Statistical Simulations for Sample Size Calculation with PROC IML Izabella Peszek 8
PharmaSUG 2004 Testing Normality of Data using SAS Guangbin Peng 6
PharmaSUG 2004 The Paired T-Test: Does PROC MIXED Produce the Same Results as PROC TTEST? Jack S. Nyberg 5
PharmaSUG 2004 Using Cyclomatic Complexity to Determine Test Coverage for SAS Programs Michael C. Harris 5
PharmaSUG 2004 Using SAS to Speed up Annotating Case Report Forms in PDF Format Dirk Spruck 7
VIEWS 2004 Help, I've received a Spreadsheet File from StarOffice Calc..! Philip R. Holland 11
SUGI 2004 A Lightweight HTML Codebook Generator for Clinical Trial Data Lei Zhang source 11
SUGI 2004 A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain		 source 11
SUGI 2004 A SAS Macro for Generating Randomization Lists in Clinical Trials Using Permuted Blocks Randomization Mazen Abdellatif source 12
SUGI 2004 A Stand-Alone SAS Annotate System for Figure Generation Brian P. Fairfield-Carter source 13
SUGI 2004 Advanced Programming Techniques for Working with Color in SAS Software Perry Watts source 19
SUGI 2004 An Animated Guide: The Logic of Hypothesis Testing and ANOVA Russell M. Lavery source 11
SUGI 2004 An Introduction to Matching and Its Application Using the SAS System Jayawant N. Mandrekar,
Sumithra J. Mandrekar		 source 9
SUGI 2004 An Introduction to Regular Expressions with Examples from Clinical Data Richard F. Pless source 9
SUGI 2004 Assessing Model Fit and Finding a Fit Model Margaret L. Bogle,
Rajiv Goel,
Robert M. Hamer,
Chan-Hee Jo,
Eric Siegel,
Pippa M. Simpson		 source 17
SUGI 2004 Backing Up File Systems with Hierarchical Structures Using SAS/CONNECT Fagen Xie,
Wansu Chen		 source 10
SUGI 2004 Bells and Whistles for One-Line Text Box to Create a Smarter Where Clause Ted J. Guo source 13
SUGI 2004 Bootstrap 101: Obtain Robust Confidence Intervals for Any Statistic Dave P. Miller source 8
SUGI 2004 Building an Online Entry Form with WebAF (and a Little Java) Frederick E. Pratter source 20
SUGI 2004 Communication-Effective Use of Color for Web Pages, Graphs, Tables, Maps, Text, and Print LeRoy Bessler source 21
SUGI 2004 Creating Scales from Questionnaires: PROC VARCLUS vs. Factor Analysis David J. Pasta,
Diana D. Suhr		 source 19
SUGI 2004 Data Quality Management: The Most Critical Initiative You Can Implement Jonathan G. Geiger source 15
SUGI 2004 Data Quality Solution - A Technical Overview Eric Hunley source 14
SUGI 2004 DATA: "Getting to Know You; Getting to Know All About You" Larry W. Douglass,
Sue E. Douglass		 source 17
SUGI 2004 Developing Custom SAS Tasks for SAS Enterprise Guide and the SAS Add-In for Microsoft Office James White,
Stephen McDaniel		 source 2
SUGI 2004 Empirical Power Computation Using SAS for Schuirmann's Two One-Sided Tests Procedure in Clinical Pharmacokinetic Drug-Drug Interaction Studies Jihao Zhou,
Bruce Coate,
Yulei He		 source 9
SUGI 2004 Estimation Methodology for Natural Gas Production in the Gulf of Mexico Gary Long,
John Wood,
Xin Luo,
John D. Perrin		 source 10
SUGI 2004 Guidelines on Writing SAS Macros for Public Use Frank J. Ivis source 10
SUGI 2004 How I Stopped Worrying and Learned to Love Pearsons p: Increasing Robustness in Correlation Analysis Eric M. Rosenberg source 11
SUGI 2004 Introduction to SAS/GRAPH Philip A. Mason source 16
SUGI 2004 Introduction to Using SAS Enterprise Guide for Statistical Analysis Charles B. Hallahan,
Linda P. Atkinson		 source 20
SUGI 2004 Making Music in SAS: Using Sound to Alert Users of Errors and Data Discrepancies David A. Fielding source 6
SUGI 2004 Methods of Storing SAS Data into Oracle Tables Lois Levin source 10
SUGI 2004 Model-Based Multiple Imputation Geoffrey Paulin,
Shirley Tsai,
Melissa Grance		 source 13
SUGI 2004 Performing a 1:N Case-Control Match on Propensity Score Lori S. Parsons source 12
SUGI 2004 PROC POWER in SAS 9.1 Deborah J. Bauer,
Russell M. Lavery		 source 7
SUGI 2004 Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss		 source 19
SUGI 2004 Randomly Selecting Observations Robert R. Patten source 10
SUGI 2004 Reading Multiple Complex Report Files Tugluke Abdurazak source 7
SUGI 2004 Repeated Measures Modeling with PROC MIXED E. Barry Moser source 20
SUGI 2004 Sample-Size Analysis in Study Planning: Concepts and Issues, with Examples Using PROCs POWER and GLMPOWER Ralph G. O'Brien,
John M. Castelloe		 source 12
SUGI 2004 SAS Data Views Simply Stated James C. Stokes source 4
SUGI 2004 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown source 7
SUGI 2004 SAS Macros for Large Scale Data Analysis and Quality Management of Corporate Actuarial Data Mart Dennis X. Tang,
Don Cooper		 source 8
SUGI 2004 SAS SPM Solution for Healthcare: Quallity Improvement for Providers Using Statistical Process Control Robert N. Rodriguez,
Susan B. Lewellen		 source 28
SUGI 2004 SAS with Style: Creating your own ODS Style Template for RTF Output Lauren E. Haworth source 21
SUGI 2004 SCL Rides Again! Porting RESMENU to the Web Michael L. Davis,
Ralph W. Leighton		 source 21
SUGI 2004 Simplified Matched Case-control Sampling Using PROC SURVEYSELECT Robby A. Diseker source 6
SUGI 2004 Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events Gary G. Koch,
Maura E. Stokes		 source 21
SUGI 2004 Taking a Deeper Look into the SAS Intelligence Architecture: How to use AIX Tools to Examine Interactions of Base SAS with the IBM pSeries Platform Frank M. Bartucca,
Laurie Jeagers		 source 10
SUGI 2004 Text Mining Warranty and Call Center Data: Early Warning for Product Quality Awareness John Wallace,
Tracy A. Cermack		 source 8
SUGI 2004 Thumbs Up For ODS Graphics, But Don't Throw Out All Your SAS/GRAPH Programs! Richard M. Mitchell source 17
SUGI 2004 To Rake or Not to Rake Is Not the Question Anymore with the Enhanced Raking Macro David Izrael,
David C. Hoaglin,
Michael P. Battaglia		 source 12
SUGI 2004 Using SAS Procedures to Make Sense of a Complex Food Store Survey Jeffrey M. Gossett,
Pippa M. Simpson,
Renée A. Hall,
Carol Connell,
Kathy Yadrick,
Margaret L. Bogle		 source 8
WUSS 2003 A Macro To Display The Kaplan-Meier Curve With An Annotated Failure Table Kristie Kooken,
Colin Kuang		 source 5
WUSS 2003 Adaptive Regression in SAS/IML David Katz source 5
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
WUSS 2003 Adventures in Data Dissemination: From TABULATE to ODS and IntrNet Jennifer S. Harper source 5
WUSS 2003 An Overview of SAS Certification and the Test Development Process Linda Althouse,
Marc Vaglio-Laurin		 source 6
WUSS 2003 Answering Your Questions with Statistics Diana D. Suhr source 6
WUSS 2003 Code Your First Dynamic Web Application Using HTMSQL Karen L. Wyland source 5
WUSS 2003 Dimensional Model Data Warehouse: An Introduction (What) Dan Kirpes source 3
WUSS 2003 Discovering a New Human Vital Sign August L. Stemmer source 5
WUSS 2003 GIS Capabilities in Old vs. New SAS Software Richard O. Smith,
Arthur L. Carpenter		 source 6
WUSS 2003 LIFETEST+ODS+IML=Stratified Log Rank Tests Ann Olmsted source 5
WUSS 2003 Logistic regression model-building strategies for predicting regular mammography screening adherence among uninsured immigrant women Jesse Albert Canchola,
Regina Otero-Sabogal,
Desiree Owens,
Farzaneh Tabnak		 source 6
WUSS 2003 SAS with Style: Creating Your Own ODS Style Template Lauren E. Haworth source 9
WUSS 2003 Selecting a Stratified Sample with PROC SURVEYSELECT Diana D. Suhr source 4
WUSS 2003 Taming Your Metadata Part I: A Solution for Incorporating Data Documentation into the Programming Process Peter Godard source 6
WUSS 2003 The Quandary of Survey Data: Comparison of SAS Procedures and SUDAAN Procedures Katherine L. Baisden source 6
WUSS 2003 Using Cyclomatic Complexity to Determine Test Coverage for SAS Programs Michael C. Harris source 5
WUSS 2003 Using SAS for Classical Item Analysis and Option Analysis Chong Ho Yu,
Josephine Wai-chi Wong		 source 6
WUSS 2003 Using SAS IN Educational Research Leping Liu source 6
SCSUG 2003 A Beginner's Guide to Incorporating SAS Output in Microsoft Office Applications Vincent DelGobbo 8
SCSUG 2003 A Beginner's Guide to Simulation Studies Barbara Foster 10
SCSUG 2003 Elementary Statistics Using Base SAS Deborah B. Buck 9
SCSUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
SCSUG 2003 Using DDE to Communicate Between SAS and Excel Jim Hoffman 6
SCSUG 2003 Web-Enable Your SAS Applications Teresia L. Arthur,
Mary Jafri		 7
SCSUG 2003 Writing Your SAS Program Right Clarence W. Jackson 11
SESUG 2003 A Beginner's Guide to Incorporating SAS Output in Microsoft Office Applications Vincent DelGobbo source 8
SESUG 2003 A Sampler of Code Techniques H. Ian Whitlock source 6
SESUG 2003 A SAS Macro to Design Phase II Clinical Trials Alan B. Cantor,
Moffitt Cancer		 source 2
SESUG 2003 Advantages of PROC SCORE Mark Tabladillo source 2
SESUG 2003 An Algorithm for Screening of Genes and Clusters from Microarray Experiments James E. Blum source 4
SESUG 2003 An Analysis Tool for Reviewing Farm Economic Data Using SAS/AF Van Johnson source 7
SESUG 2003 An Introduction to Genomics and SAS Scientific Discovery Solutions Russell D. Wolfinger source 7
SESUG 2003 An Overview of SAS Certification and the Test Development Process Linda Althouse,
Marc Vaglio-Laurin		 source 6
SESUG 2003 Behind the Scenes at SAS-L F. Joseph Kelley source 2
SESUG 2003 Data-driven Validation Rules: Custom Data Validation Without Custom Programming Don Hopkins source 8
SESUG 2003 Demand for Analysis-Ready Data Sets. An Introduction to Banking and Credit Card Analytics Bikila bi Gwet source 10
SESUG 2003 Developing a Marketing Geographic Segmentation System Using SAS Software Kellie M. Poulin,
Allison N. Freeman		 source 10
SESUG 2003 EFFECT_CI: A SAS Macro for Constructing Confidence Intervals Around Standardized Mean Differences Around Standardized Mean Differences source 6
SESUG 2003 Excel Exposed: Using Dynamic Data Exchange to Extract Metadata from MS Excel Workbooks Koen Vyverman source 10
SESUG 2003 Identifying Person Duplicates of Short Geographic Distance by Computer Matching Thomas Mule source 10
SESUG 2003 Information System for State Trauma Advisory Committee - An application of SAS/IntrNet Xiao (Michelle) Zhuang,
Sharon Schiro		 source 4
SESUG 2003 Management of CABG Patient Mortality Using SAS Logistic Regression by Cohorts: Age, Sex and Cleveland Clinic defined risk factors Five years of data and analysis compressed onto a 3 X 5 pocket guide Lucinda Jenkins,
Bing Li,
Mike Mueller,
Steve Hadzima		 source 7
SESUG 2003 METAPERM: A SAS Macro for Permutation Tests of Linear Models in Meta-analysis Jeffrey D. Kromrey,
Kristine Y. Hogarty		 source 6
SESUG 2003 Methods of Dealing with Values Below the Limit of Detection using SAS Carry W. Croghan,
Peter P. Egeghy		 source 5
SESUG 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 11
SESUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2003 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown source 6
SESUG 2003 SD17 Preparing Data Using PROC SQL and SAS Macro for Paired Sample Comparison on Intervention Study Wei Zhao source 4
SESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman source 13
SESUG 2003 Tricks of A Truly Lazy SAS Programmer Christopher Toppe,
Independent Sector		 source 9
SESUG 2003 Using the SAS System to Construct n-Values Plots Peter S. Wludyka source 9
SESUG 2003 What is Missing in SAS? Imelda C. Go source 5
MWSUG 2003 A Macro Program for Displayin T-test Results Brent L. Baxter 12
MWSUG 2003 Parameter Estimation of a Negative Binomial for the By-product of the Gringard Reaction Ling Huang,
Paul W. Johnson		 4
MWSUG 2003 The Power of Paint: Effective Color Communication with ODS, SAS, and SAS/GRAPH LeRoy Bessler 5
MWSUG 2003 Using SAS as a Definitive Tool in Stock Market Analysis Mike D. Tangedal 4
MWSUG 2003 Using SAS Special Missing Values to Enhance Display and Analysis of Survey Research Data Francine Cannarozzi 3
MWSUG 2003 Web Communication Effectiveness: Design and Methods to Get the Best Out of ODS, SAS, and SAS/GRAPH LeRoy Bessler 10
NESUG 2003 A Beginner's Guide to Incorporating SAS Output into Microsoft Office Applications Vincent DelGobbo 8
NESUG 2003 A Partitioning Method for Processing Large Data Files Anshuman Panigrahi,
John R. Gerlach		 4
NESUG 2003 A Tutorial on the SAS Macro Language John J. Cohen 6
NESUG 2003 A Web-Enabled Graphics Library Denise Sarkozy,
Robert Goldberg-Alberts,
Donald Trevoy		 3
NESUG 2003 Advanced Programming Techniques for Working with Color in SAS Software Perry Watts 18
NESUG 2003 Air Quality Monitoring: A Robust Heteroscedastic Statistic for Testing the Equality of Transformed Pollutant Means Ling Huang,
Paul W. Johnson		 7
NESUG 2003 Connecting the SAS System to the Web: An Introduction to SAS/IntrNet Application Dispatcher Vincent L. Timbers 8
NESUG 2003 Connecting the SAS System to the Web: An Introduction to SAS/IntrNet Application Dispatcher Vincent L. Timbers 8
NESUG 2003 Drawing Multiple Random Samples with Replacement Charles A. DePascale 2
NESUG 2003 How to Link Records Matching on at Least m Out of n Identifying Keys Xinyu Ji 10
NESUG 2003 Methods of Storing SAS Data into Oracle Tables Lois Levin 10
NESUG 2003 Next Generation Warehousing with Version 9 Gary Mehler 10
NESUG 2003 No More Downloading - Using SAS/ODS to Create SAS Graphs and HTML Documents for OS/390 Systems Patricia Wingfield 7
NESUG 2003 ODS In An Instant! Bernadette H. Johnson 6
NESUG 2003 ODS LAYOUT: Arranging ODS Output as You See Fit Brian Shellenberger 6
NESUG 2003 Picking Up Where the SQL Optimizer Leaves Off Howard L. Schreier 11
NESUG 2003 Poor Man's OLAP: A MDDB Reporting Application Using Base SAS John D. Chapman 10
NESUG 2003 SAS Backwards: Helping SAS and SPSS Students Speak the Same Language Joseph J. Guido,
Adam B. Rains		 14
NESUG 2003 SAS Metadata, Authorization and Management Services - Working Together for You Michele Ryals 9
NESUG 2003 SCL Rides Again! Porting RESMENU to the Web Michael L. Davis,
Ralph W. Leighton		 17
NESUG 2003 Statistics & Regression - Easier than SAS Vincent Maffei,
Michael L. Davis		 6
NESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman 14
NESUG 2003 The Complete Software Package to Developing a Complete Set of Ratio Edits Roger L. Goodwin 11
NESUG 2003 The Dark Side of the Transparent Moon -- Tips, Tricks and Traps of Handling ORACLE Data Using SAS Xinyu Ji 11
NESUG 2003 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2003 The Fundamentals of Efficiency Robert Virgile 5
NESUG 2003 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 15
NESUG 2003 Tips and Techniques to Enhance Your SAS Statistical Graphics Output Shi-Tao Yeh 9
NESUG 2003 Using Cluster Analysis for Retail Portfolio Segmentation in an Economic Capital Model: Homogeneity by Common Default Behavior Over Time Shannon Kelly 12
NESUG 2003 Web-Enable Your SAS Applications Teresia L. Arthur,
Mary Jafri		 7
NESUG 2003 XPDL - An Extensible Project Database Loading and Table Translation Program John H. Adams 7
SEUGI 2003 An Introduction to Genomics and SAS Scientific Discovery Solutions [presentation] Karen Miller source 34
SEUGI 2003 Analytical CRM at Swisscom Fixnet - The data warehouse concept, mode development with Enterprise Miner and implementation [presentation] Miltiadis Sarakinos source 22
SEUGI 2003 How SAS is Used for Research and Teaching to Enable Students to Become More Marketable [presentation] Iveta Stankovicova source 22
SEUGI 2003 SAS - Analytical CRM for Electricity Utilities [presentation] Ales Rojik source 28
SEUGI 2003 SAS Interaction Management [presentation] Jens Echtermeyer source 22
SEUGI 2003 SAS Value Chain Analytics - How can we make supply chain strategies more cost effective? [presentation] Tony Wood source 27
SEUGI 2003 The real impact of intelligent fraud prevention at Standard Bank [presentation] George Daminov source 23
SEUGI 2003 The Topic Scoring Engine [presentation] Ulrich Reincke source 37
SEUGI 2003 The Value of ETL and Data Quality [presentation] Paul Padley source 38
SEUGI 2003 Using ASP.NET to leverage data and processes in SAS Servers [presentation] Anton Fuchs source 33
SEUGI 2003 Using the SAS System for Teaching and Research - A Short Review of Co-operations between Statisticians and Medical Students [presentation] Barbara G. Schneider source 59
VIEWS 2003 ASP.Net and SAS - A new model for Developing Web-Based SAS Applications Graham Murray presentation 7
VIEWS 2003 Box-and-Whisker Plots with The SAS System David Shannon presentation 9
VIEWS 2003 Understanding Customer Behaviour through the Extraction, Analysis, Reporting and Modelling of Customer Data. Andy Twaits presentation 3
VIEWS 2003 Web Communication Effectiveness LeRoy Bessler presentation 10
PharmaSUG 2003 A Beginner's Guide to Incorporating SAS Output in Microsoft Office Applications Vincent DelGobbo 8
PharmaSUG 2003 A Method To Create Descriptive Statistics Using The CLASS Statement Jihong Jin 6
PharmaSUG 2003 A SAS Annotate System for Figure Generation Brian P. Fairfield-Carter 6
PharmaSUG 2003 A SAS Macro for Producing Clinical Laboratory Shift Table Shi-Tao Yeh,
Glaxo Smith Kline		 6
PharmaSUG 2003 An Application of Dummy Variable and Placeholder Macro Parameter in Programming for Clinical Trial Data Quality Monitoring Sijian Zhang,
Mark Carpenter		 4
PharmaSUG 2003 Capabilities and Example Uses of a SAS Macro for Summary Reporting of Clinical Data James T. Decker,
Jun Wang		 8
PharmaSUG 2003 Confidence Intervals in Analysis and Reporting of Clinical Trials Guangbin Peng 8
PharmaSUG 2003 Creating "that other" Laboratory Listing: Let PROC TRANSPOSE, FREQ, CONTENTS and REPORT Do the Job for You Luis F. Albarran 4
PharmaSUG 2003 Datamapper: A Documentation Generator for SAS Metadata Lei Zhang 8
PharmaSUG 2003 Developing "EXSAS" an integrated system for statistical analysis of non-clinical experimental data using animals Chikuma Hamada 6
PharmaSUG 2003 Exporting SAS/GRAPH Output: Concepts and Ideas Dawn Schrader 6
PharmaSUG 2003 Innovative Graph for Comparing Central Tendencies and Spread at a Glance Varsha C. Shah,
Ravi M. Mathew		 8
PharmaSUG 2003 Likelihood Approach in Estimation and Testing Problems Involving Grouped Data Daniel Bonzo,
InfoVision Consultants		 8
PharmaSUG 2003 ODS LAYOUT: Arranging ODS Output as You See Fit Brian T. Schellenberger 6
PharmaSUG 2003 Parameter estimation for incomplete bivariate longitudinal data in clinical trials Naum M. Khutoryansky 6
PharmaSUG 2003 SAS Macro to Create ADDL Records To Estimate Dosing Not Represented in the Collected Data, In a NONMEM Population Pharmacokinetic Analysis Dataset Richard Schneck,
Mike Heathman,
Lynn Reynolds		 6
PharmaSUG 2003 Selecting Balanced Cohorts for Comparison in Observational Research Craig Roberts 4
PharmaSUG 2003 Sensitivity of DISCRIM PROC for Different List of Variables to Separate a Study Population by Treatment Subgroups in Clinical Trial with a New Antidepressant Treatment Subgroups 6
PharmaSUG 2003 Single Dose Bioassay - A SAS Approach John Sparkes,
Susan Motran		 4
PharmaSUG 2003 Statistical Processing and Analysis of Proteomic and Genomic Data Mark Carpenter,
Sreelatha Melath,
Sijian Zhang,
William E. Grizzle		 4
PharmaSUG 2003 Tips to Enhance Your SAS Statistical Graphics Output Shi-Tao Yeh 6
PharmaSUG 2003 Using Model Fitting Information and PROC PLOT to Select the Type of Variance-Covariance Structure for Repeated Measures Radhi Abdulnabi 8
PharmaSUG 2003 Using SAS to Evaluate Integrals and Reverse Functions in Power and Sample Size Calculations Xingshu Zhu,
Shuping Zhang		 6
PharmaSUG 2003 Using SAS to Perform a Single-Stage Multiple Comparison Procedure for All Pair-wise Comparisons in a One-Way Layout with Unequal Variances Paul Juneau 6
PharmaSUG 2003 XML? We do that! Anthony L. Friebel 6
PharmaSUG 2003 XPDL - An Extensible Project Database Loading and Table Translation Program John H. Adams 8
SUGI 2003 A Beginner's Guide to Incorporating SAS Output into Microsoft Office Applications Vincent DelGobbo source 8
SUGI 2003 A SAS/IML Program for Mapping QTL in Line Crosses Chenwu Xu,
Shizhong Xu		 source 6
SUGI 2003 An Automated MS Powerpoint Presentation Using SAS Rick A. Allen source 6
SUGI 2003 An Automated Reporting Macro to Create Cell Index - An Enhanced Revisit Shi-Tao Yeh source 5
SUGI 2003 An Introduction to Genomics and SAS Scientific Discovery Solutions Russell D. Wolfinger,
Susan Flood		 source 7
SUGI 2003 An Overview of SAS Certification and the Test Development Process Linda Althouse,
Marc Vaglio-Laurin		 source 8
SUGI 2003 Beyond PROC LIFETEST: Alternative Linear Rank Tests for Comparing Survival Distribution Alan B. Cantor source 4
SUGI 2003 Big Brother for SAS/IntrNet Security and Tracking Agent Yadong Zhang,
Muhammad Z. Khan,
Kevin J. Smith		 source 3
SUGI 2003 Case Studies in Time Series David A. Dickey source 9
SUGI 2003 Complex Sampling Designs Meet the Flaming Turkey of Glory David L. Cassell,
AnnMaria Rousey		 source 8
SUGI 2003 Connecting the SAS System to the Web: An Introduction to SAS/IntrNet Application Dispatcher Vincent Timbers source 8
SUGI 2003 Cutpoint Determination Methods in Survival Analysis Using SAS Jayawant N. Mandrekar,
Sumithra J. Mandrekar,
Stephen S. Cha		 source 5
SUGI 2003 Determining the Dimensionality of Data: A SAS Macro for Parallel Analysis Robert I. Kabacoff source 3
SUGI 2003 Developing a Marketing Geographic Segmentation System Using SAS Software Allison N. Shubert-Freeman,
Kellie M. Poulin,
Shawn C. Yoder,
Michael R. Morgan,
Jennifer K. Warner		 source 6
SUGI 2003 Estimation of Prevalence Ratios When PROC GENMOD Does Not Converge James A. Deddens,
Martin R. Petersen,
Xiudong Lei		 source 6
SUGI 2003 Exporting SAS/GRAPH Output: Concepts and Ideas Dawn Schrader source 6
SUGI 2003 Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! Richard M. Mitchell source 10
SUGI 2003 Hashing: Generations Paul M. Dorfman,
Gregg P. Snell		 source 10
SUGI 2003 Innovative Graph for Comparing Central Tendencies and Spread at a Glance Varsha C. Shah,
Ravi M. Mathew		 source 8
SUGI 2003 Logistic Regression Modeling - JMP StartTM Your Analysis with a Tree Pippa M. Simpson,
Renée A. Hall,
James G. Parker,
Jeffrey M. Gossett		 source 5
SUGI 2003 Modeling Customer Lifetime Value Using Survival Analysis - An Application in the Telecommunications Industry Junxiang Lu source 6
SUGI 2003 Next Generation Warehousing with Version 9 Gary Mehler source 10
SUGI 2003 Not All Fish Eat Worms: A SAS Programmer's Guide to MS Excel and Other Fish Stories David Rucker source 6
SUGI 2003 ODS In An Instant! Bernadette H. Johnson source 6
SUGI 2003 P-Value Generation Simplified with a Single SAS Macro Christopher S. Hord,
Peter J. Anderson		 source 3
SUGI 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 9
SUGI 2003 Reliability, Exploratory and Confirmatory Factor Analysis for the Scale of Athletic Priorities Diana D. Suhr source 7
SUGI 2003 RETAINing Information to Identify Entity Characteristics John D. Chapman source 3
SUGI 2003 SAS High-speed Automated Reporting Queue (SHARQ) Kasi A. Peek source
SUGI 2003 SAS Macros and Tools for Working with Weighted Logistic Regression Models That Use Survey Data David Izrael,
Annabella A. Battaglia,
David C. Hoaglin,
Michael P. Battaglia		 source 10
SUGI 2003 SAS Metadata, Authorization and Management Services - Working Together for You Michele Ryals source
SUGI 2003 SAS with Style: Creating Your Own ODS Style Template Lauren E. Haworth source 10
SUGI 2003 Scaling SAS Data Access to Oracle RDBMS Howard Plemmons Jr.,
Andrew Holdsworth		 source 6
SUGI 2003 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 2003 STEPWISE Methods in Using SAS PROC LOGISTIC and SAS Enterprise MinerTM for Prediction Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain		 source 6
SUGI 2003 Teaching Statistical Methods Courses with Case Studies and JMP Andy Mauromoustakos source 6
SUGI 2003 The One-Time Methodology: Encapsulating Application Data Mark Tabladillo source 6
SUGI 2003 The Power of Pictures and Paint: Using Image Files and Color with ODS, SAS, and SAS/GRAPH LeRoy Bessler source 10
SUGI 2003 The Power of Recursive SAS Macros - How Can a Simple Macro Do So Much? John H. Adams source 5
SUGI 2003 The URL-y Show: Using SAS LE and the URL Access Method to Retrieve Stock Quotes Ted Conway source 2
SUGI 2003 The Use of Geographic Information Systems to Investigate Environmental Pollutants in Relationship to Medical Treatment Patricia B. Cerrito,
Robert Forbes,
George R. Barnes		 source 6
SUGI 2003 Using a SAS Macro to Document the Database William C. Murphy source 4
SUGI 2003 Using the SAS System to Construct and Operate Control Charts with Randomized Control Limits Peter S. Wludyka source 7
SUGI 2003 Using the SAS V9 Application Response Measurement System to Provide Metrics to HP-UX Workload Manager James M. Coffey source 4
SUGI 2003 Web Communication Effectiveness: Design and Methods to Get the Best Out of ODS, SAS, and SAS/GRAPH LeRoy Bessler source
SUGI 2003 Web-Enable Your SAS Applications Teresia L. Arthur,
Mary Jafri		 source
SUGI 2003 XML? We do that! Anthony Friebel source 6
MWSUG 2002 %X_Ray Macro to Explore Any SAS Dataset Kinwah Fung,
Douglas Zirbel		 7
MWSUG 2002 A Macro to Assess the Key Drivers of Overall Product Acceptance using SAS System George J. Hurley,
David Hengehold		 7
MWSUG 2002 Easy Interface for SAS --A SAS Applciation on the Windows Platform Zhuan (John) Xu 9
MWSUG 2002 Using Model Fitting Information and PROC PLOT to Select the Type of Varianc-Covariance Structur Radhi Abdulnabi 7
SCSUG 2002 A FIRST . (but not LAST.) Word on the BY-group Processing Christine A. Smiley 9
SCSUG 2002 Grading Efficiency Based On Gamma Distribution with SAS Procedures Dagan Zhang 8
SCSUG 2002 Statistical Pattere Recognition Using Enterprise Miner and Self-Organizing Maps Keith A. Jones 8
NESUG 2002 An Animated Guide: Matching Test & Control Subjects Russell M. Lavery,
Glenn Abrahamsen		 21
NESUG 2002 An Animated Guide: Speed Merges with Key Indexing, Bitmapping and Hashing Paul M. Dorfman,
Russell M. Lavery		 10
NESUG 2002 Creating a Generic Data Listing Macro in Three Days or Less Chris Moriak 10
NESUG 2002 Forecasting with the Time Series Forecasting System in SAS/ETS Charles B. Hallahan 6
NESUG 2002 Give Your Clients What They Want: Fill Report Tables with the SAS System and DDE William C. Murphy 3
NESUG 2002 Hot-Deck Imputation: A Simple DATA Step Approach Lawrence W. Altmayer 8
NESUG 2002 Regular Expressions in SAS Version 8 and Beyond Francis Harvey III 9
NESUG 2002 SAS Output to Excel: DDE and Beyond Lawrence Helbers,
Alexander Vinokurov		 5
NESUG 2002 SAS Techniques for Incorporating Medical Code Updates into Longitudinal Health Care Data Perry Watts,
Alan C. Wilson		 10
NESUG 2002 SAS User Documentation: Web Page Design Made Easy Bruce F. Gilsen,
Scott Hoenig		 10
NESUG 2002 Techniques for SAS Enabling Microsoft Office in a Cross-Platform Environment Vincent DelGobbo 8
NESUG 2002 Temporal Optimization: Convergence of Time Series and Linear Modeling for Selecting Portfolio Strategies Haftan M. Eckholdt 3
NESUG 2002 Two Useful Macros to Nudge SAS to Serve You David Izrael,
Michael P. Battaglia		 6
NESUG 2002 Use Your Website to Document Your Website Karen L. Wyland 6
NESUG 2002 Using the LOGISTIC Procedure to Model Responses to Financial Services Direct Marketing David Marsh 6
SESUG 2002 A GUI System for the Generation of Clinical Trial Randomization Plans for Collaborative Multi-institutional Clinical Trials Sijian Zhang,
Mark Carpenter,
John W. Gnann		 source 3
SESUG 2002 A Sample Delivery System for A Multi-Site Study Using SAS On A UNIX Platform Gabriel Cano source 7
SESUG 2002 Developing a Control Methodology for Customized Data Management and Processing Mark Tabladillo source 6
SESUG 2002 FDR_TEST: A SAS Macro for Calculating New Methods of Error Control in Multiple Hypothesis Testing Jeffrey D. Kromrey,
Kristine Y. Hogarty		 source 6
SESUG 2002 Handling Missing Data with Multiple Imputation Using PROC MI in SAS Hossein N. Yarandi source 5
SESUG 2002 Meta Data + Files = Automated Status Reports Frank C. DiIorio,
George E. Demuth,
Michael DeSpirito		 source 7
SESUG 2002 No More Downloading - Using SAS/ODS to Create SAS Graphs and HTML Documents for OS/390 Systems Patricia Wingfield source 7
SESUG 2002 SAS High-speed Automated Reporting Queue (SHARQ) Eric Puhlman,
Blue Cross Blue Shield		 source 10
SESUG 2002 Sharing Your Tips and Tricks with Others. Give Your Toolbox a Web Presence John Charles Gober source 6
SESUG 2002 Techniques for SAS Enabling Microsoft Office in a Cross-Platform Environment Vincent DelGobbo source 8
SESUG 2002 The SAS Debugging Primer Frank C. DiIorio source 10
SESUG 2002 The Value of SAS in Manufacturing Eric C. Brinsfield source 4
SESUG 2002 Using a RAM Disk to Speed up your Windows 2000 SAS Session Erik H. Dilts source 3
SESUG 2002 Using a SAS/IML Nonlinear Programming Procedure To Determine a Single Uniform Weighting Scheme For a Complex Survey Design Richard A. Moore Jr. source 6
SESUG 2002 Using ODS to Capture Statistics from PROC GLM Frank L. Roediger source 6
SESUG 2002 Using SAS to Control Multistream Binomial Processes with a Chi-Squared Control Chart Peter S. Wludyka source 5
SESUG 2002 Using SAS to Estimate Variance by the Jackknife Method Thomas Mule source 6
SESUG 2002 Using SAS With a SQL Server Database M. Rita Thissen,
Yan Chen Tang,
Elizabeth Heath		 source 5
WUSS 2002 A Macro for Constructing Confidence Intervals of Simple Difference in Dichotomous Data with Repeated Measurements Chii-Dean Joey Lin,
Kung-Jong Lui		 source 4
WUSS 2002 A Macro to Perform a T-Test for Two Independent Samples Using Sufficient Statistics Lang-Feng Tsai source 5
WUSS 2002 A New User's Journey in Using PROC IMPORT and ODS: An Application in the Electricity Market David L. Wang,
Azharul Islam		 source 3
WUSS 2002 An Introduction to Creating and Using ODS Targets Jack Hamilton source 7
WUSS 2002 An Overview of Remedial Tools for the Violation of Parametric Test Assumptions in the SAS System Chong Ho Yu source 6
WUSS 2002 Beware of the Leopard: Issues and Uses of PROC SURVEYMEANS AnnMaria Rousey source 7
WUSS 2002 Calculating kappa Measures of Agreement and Standard Errors Using SAS Software: Some Tricks and Traps Ann Olmsted source 6
WUSS 2002 Comparison of Several SAS Approaches to Mean Imputation for Time Series Data with Missing Data Points Keiko I. Powers source 4
WUSS 2002 Doing More with Proce FREQ Using Options and ODS Richard Severino source 13
WUSS 2002 Get Dynamic! Generate Macros and Batch Files Right from Your Data! Karen L. Wyland source 5
WUSS 2002 Imputation Strategies for Sexual Orientation Using SAS PROC MI Jesse Albert Canchola,
Joe Catania,
Torsten Neilands		 source 6
WUSS 2002 Let SAS Build Your Dynamic Web Site from the Data! Jennifer R. Sinodis,
Mark Moran		 source 6
WUSS 2002 Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye		 source 6
WUSS 2002 Optimum Sampling by Ratio Estimation Robert Plath source 7
WUSS 2002 Perform Survival Analysis for Clinical Trials Using ODS Wei Cheng source 5
WUSS 2002 Reliability, Exploratory, & Confirmatory Factor Analysis for the Scale of Atheletic Priorities Diana D. Suhr source 8
WUSS 2002 Standard Software to Create SAS Graphs in a Clinical Environment Ying Yuen,
Millennium Electric		 source 6
WUSS 2002 Structural Equation Modeling: Easy Solutions Using SAS Shuqiang Zhang source 5
WUSS 2002 Use Your Website to Document Your Website Karen L. Wyland source 6
WUSS 2002 Using Benford's Law to Find Anomalies in Your Data Curtis A. Smith source 6
WUSS 2002 Using PROC SQL for Creating a Group Variable on Census 2000 Tracts Based on Their Relationship with the Census 1990 Tracts Xiao Chen source 3
WUSS 2002 Using SAS/IML to Create a Chi-squared Plot for Checking Normality Assumption in Multivariate Data Steven Hoff source 5
WUSS 2002 Using the Annotate Facility to Enhance Standard SAS/GRAPH Procedure Output Debra Miller source 8
WUSS 2002 Utilizing Clinical SAS Report Templates with ODS Sunil Kumar Gupta source 6
SEUGI 2002 18 months to make an Analytical CRM dream come true: results obtained by Vodafone Omnitel in B2B Churn Prevention [presentation] Alessandro Bernorio,
Paola Bauce		 source 36
SEUGI 2002 An Introduction to ODS Markup and Tagsets [presentation] Arthur Witherall source 27
SEUGI 2002 Drivign forward customer relationship and knowledge [presentation] Bruno Tabourin,
Serge Boulet		 source 20
SEUGI 2002 How to maximize the effectiveness of 2000 salesmen [presentation] Antonello Mana,
Elena Delapiano,
Giorgio Rivero		 source 24
SEUGI 2002 Know whom your cusomers listen to - Scoring for marketing channels reception propensity [presentation] Pawel Gasiorowski,
Wojciech Latusek		 source 20
SEUGI 2002 Mazimizing Campaign Return through Marketing Intelligence [presentation] Markus Matzak source 16
SEUGI 2002 Moving from PC SAS 6.12 to SAS 8.2 on a Terminal Server [presentation] Monika Kawohl source 22
SEUGI 2002 Netarget - intelligence creation as core business process [presentation] Christophe Cousin source 20
SEUGI 2002 Outcome on a bank sales campaign based on scoring list [presentation] Gianluca Bo source 20
SEUGI 2002 Runinng IT as a Business - Managing the Value of IT [presentation] Han T. M. van der Zee,
Mark Griep		 source 21
SEUGI 2002 SAS application: PEST 4 for sequential clinical trials [presentation] Tatsuru Matsushita source 19
SEUGI 2002 The problem of treasurey portfolio optimisation [presentation] Alexey Kulemin,
Vasily Konuzin,
Vasily Sorokoumov,
Victor Kulyshev		 source 52
PharmaSUG 2002 %Addval: A SAS Macro Which Completes the Cartesian Product of Dataset Observations for All Values of a Selected Set of Variables Rich Schiefelbein 6
PharmaSUG 2002 An Automation System for Generating Case Report Form Tabulations David C. Izard,
Shi-Tao Yeh		 6
PharmaSUG 2002 Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED Chain Algorithm 6
PharmaSUG 2002 Discriminant Analysis (PROC DISCRIM) to Separate a Study Population by Treatment Subgroups in a Clinical Trial with a New Antidepressant Lev Sverdlov,
Park Ridge		 6
PharmaSUG 2002 Documenting the Database: A SAS Macro to Automate the Process William C. Murphy 4
PharmaSUG 2002 Fast Two-Sample Permutation Tests, Even When One Sample is Large, that Efficiently Maximize Power Under Crude Monte Carlo Sampling John D. Opdyke 10
PharmaSUG 2002 Imputation of Longitudinal Incomplete Data in Clinical Trials Naum M. Khutoryansky 4
PharmaSUG 2002 Introduction to SAS/GRAPH Philip A. Mason 8
PharmaSUG 2002 Java Application Development for Analyzing Clinical Pharmacogenomics Data Zongwei Shen,
Robert Tracy,
Richard Judson		 4
PharmaSUG 2002 MacStat: A Statistical Analysis and Reporting System using SAS Macros, Visual Basic, and Microsoft Word Richard Thomas 6
PharmaSUG 2002 Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure Anthony B. An 10
PharmaSUG 2002 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta 10
PharmaSUG 2002 Rapid Assessment of Data Set Structures Philip Vecchione 4
PharmaSUG 2002 Report Macro - A Tool to Generate Flexible Summary Reports Diane E. Foose 6
PharmaSUG 2002 Serology Inventory System Mariya Charny 8
PharmaSUG 2002 Simulating Attrition and Visual Models of Type I and Type II Errors Haftan M. Eckholdt 10
PharmaSUG 2002 Techniques for SAS Enabling Microsoft Office in a Cross-Platform Environment Vincent DelGobbo 8
PharmaSUG 2002 The CDISC Laboratory Data Interchange Standard: Using SAS To Read and Write CDISC Compliant Data Sets and Files Margaret Hung 8
SUGI 2002 "Haven't We Met Somewhere Before?" and Other Useful Lines (of Code) to Get to Know Their Data David Rucker source 5
SUGI 2002 A New User's Journey in Using PROC IMPORT and ODS: An Application in the Electricity Market David L. Wang,
M. Azharul Islam		 source 3
SUGI 2002 An Application of ODS TAGSETs Jack Hamilton source 6
SUGI 2002 Analysis of Complex Sample Survey Data Using the SURVEYMEANS and SURVEYREG Procedures and Macro Coding Patricia A. Berglund source 5
SUGI 2002 Analyzing Discrete Choice Data on Monadic Cards Jay Wu source 7
SUGI 2002 Ask DSS ... Using HTML, JavaScript, htmSQL, and SAS to Create Dynamic Web Applications Karen L. Wyland source 6
SUGI 2002 Bulletproofing Your SAS Results Vanessa C. Hayden source 6
SUGI 2002 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
SUGI 2002 Fast and Easy Ways to Annoy a SAS Programmer: A Statistician's Revenge! Richard M. Mitchell source 10
SUGI 2002 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2002 Finally - An Easy Way to Compare Two SAS Files! Douglas Zirbel source 5
SUGI 2002 Generating Randomization Schedules Using SAS Programming Chunqin Deng,
Julia C. Graz		 source 6
SUGI 2002 How Complex Can Complex Survey Analysis Be with SAS? Jeffrey M. Gossett,
Pippa M. Simpson,
James G. Parker		 source 5
SUGI 2002 How to Link Records Matching on at Least m Out of n Identifying Keys Xinyu Ji source 5
SUGI 2002 Identifying Plant Species: A Botanical Analysis Using PROC DISCRIM Robert G. Downer,
Philip E. Hyatt		 source 4
SUGI 2002 Inform and Influence with Image and Data: Communication-effective Web Design for ODS, SAS, and SAS/GRAPH LeRoy Bessler source 6
SUGI 2002 Large-scale System Development in Base SAS Craig K. Ray source 7
SUGI 2002 Making the Most of Version 8 Features Marje Fecht source 1
SUGI 2002 More Than Just Value: A Look Into Depths of PROC FORMAT Peter J. Lund source 10
SUGI 2002 Neural Networks and Genetic Algorithms as Tools for Forecasting Demand in Consumer Durables Jerry Nickelsburg,
Paul D. McNelis		 source 6
SUGI 2002 No Task Before Its Time: Schedule Your Jobs with Robot Code Charles vanWynbergen source 6
SUGI 2002 Offer Optimization - Optimizing Cross-sell and Up-sell Opportunities in Banking Andrew G. Storey,
Marc-David Cohen		 source 7
SUGI 2002 Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure Anthony B. An source 9
SUGI 2002 Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS Junxiang Lu source 6
SUGI 2002 Redesigning Experiments with Polychotomous Logistic Regression: A Power Computation Application Charles M. Vaughan,
Serge Guzy		 source 6
SUGI 2002 Report Macro - A Tool to Generate Flexible Summary Reports Diane E. Foose source 6
SUGI 2002 SAS Implementation of Nonparametric Smoothing and Lack-of-Fit Based on Smoothers George F. von Borries,
Jeffrey D. Hart		 source 5
SUGI 2002 SAS Software-to-Web Configuration: from Scratch to Final Products Haiping Luo source 6
SUGI 2002 SAS Tools for Meta-analysis Robert M. Hamer,
Pippa M. Simpson		 source 6
SUGI 2002 SAS User Documentation: Web Page Design Made Easy Bruce F. Gilsen,
Scott Hoenig		 source 10
SUGI 2002 SAS with Style: Creating Your Own ODS Style Template Lauren E. Haworth source 10
SUGI 2002 SAS/AF : It's Not What It Used to Be! Soora Wi source 4
SUGI 2002 SEM for Health, Business, and Education Diana D. Suhr source 8
SUGI 2002 Techniques for SAS Enabling Microsoft Office in a Cross-Platform Environment Vincent DelGobbo source 8
SUGI 2002 Tips, Downloads, Samples, and Training - Discover the Service &Support Web Site Renee Harper source 4
SUGI 2002 To Neural or Not to Neural? - This Is the Question Leon L. Fedenczuk source 6
SUGI 2002 Tools for Sharing SAS Macros Over the Internet Xiao Chen,
Michael N. Mitchell		 source 4
SUGI 2002 U.S. Census Bureau Goes OLAP Hung X. Phan,
Lori A. Guido,
Richard A. Denby		 source 6
SUGI 2002 Unit-of-Analysis Programming Vanessa C. Hayden source 6
SUGI 2002 Use of the ROC Curve and the Bootstrap in Comparing Weighted Logistic Regression Models David Izrael,
Annabella Battaglia,
David C. Hoaglin,
Michael P. Battaglia		 source 6
SUGI 2002 Use Your Website to Document Your Website Karen L. Wyland source 6
SUGI 2002 Using Dynamic Data Exchange to Export Your SAS Data to MS Excel - Against All ODS, Part I Koen Vyverman source 10
SUGI 2002 Using SAS Enterprise Miner for Data Quality Monitoring in the Veterans Health Administration's External Peer Review Program James H. Forsythe source 5
SUGI 2002 Using SAS Graphics Capabilities to Display Air Quality Data Debbie Miller source 5
SUGI 2002 Using SAS to Perform Robust I-Sample Analysis of Means Type Randomization Tests for Variances for Unbalanced Designs Peter S. Wludyka,
Ping Sa		 source 7
SUGI 2002 Using the Magical Keyword 'INTO:' in PROC SQL Thiru Satchi source 7
SUGI 2002 Visualizing Patterns with Scrollable Web Graphics Eric C. Brinsfield,
Caroline C. Bahler		 source 4
MWSUG 2001 Modeling Lifetime Value in the Insurance Industry C. Olivia Parr Rud 9
MWSUG 2001 ODBC Data Reading Presentation Dana Rafiee,
Destiny Corporation (a company)		 5
MWSUG 2001 Seven (plus or minus two) Clusters, A Monte Carlo Study Larry Hoyle 10
NESUG 2001 A Beginner's Tour of a Project using SAS Macros Led by SAS-L's Macro Maven Ronald J. Fehd 9
NESUG 2001 A Comparison of Binomial Proportion Interval Estimation Methods John Ulicny 7
NESUG 2001 A Generic Solution to Running the SAS System on the Web without SAS/IntrNet David L. Ward 8
NESUG 2001 A Novel Approach to Developing a Patient Profile Reporting Application Curtis Wolf,
Steven Light		 6
NESUG 2001 Analyzing Complex Sample Survey Data: A New Beginning Linda Tompkins,
Arlene B. Siller		 3
NESUG 2001 Applying Categorical Data Analysis to Multi-way Contingency Table-Location, Accident Type, and Related Factors With Severity. Li wan Chen 10
NESUG 2001 Connecting Simply with SAS/CONNECT Software Michael G. Sadof 4
NESUG 2001 Creating Macro Calls using Proc Freq Wendi L. Wright 5
NESUG 2001 Determination and Interpretation of the OOP for ROC's with PROC LOGISTIC Robert J. Gallop 6
NESUG 2001 Developing a Dynamic Reporting Facility using INTRNET in SAS version 8 Amanda F. Sardenberg,
Kenneth P. Stulik		 9
NESUG 2001 Drill-Down Links Using PROC REPORT and ODS Sanja Batljan 6
NESUG 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell 10
NESUG 2001 How to Go from SAS Data Sets to DATA NULL or WordPerfect Tables Anne Horney 7
NESUG 2001 Leaping Nodes in a Single Bound: Supporting SAS MP CONNECT with Windows 2000 Advanced Server Carol A. Murphree 5
NESUG 2001 MacStat: A Statistical Analysis and Reporting System using SAS Macros, Visual Basic, and Microsoft Word Richard Thomas 6
NESUG 2001 Making Sense of PROC TABULATE Jonas V. Bilenas 5
NESUG 2001 No More Downloading - Using SAS/ODS to Create SAS Graphs and HTML Documents for OS/390 Systems Patricia Wingfield 6
NESUG 2001 Optimizing Survey Research from Start to Finish Using SAS Software Lark Lee,
Yvonne Brandreth		 7
NESUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe 13
NESUG 2001 Replicate-Based Variance Estimation in a SAS Macro Julia L. Bienias 9
NESUG 2001 Selecting Unrestricted and Simple Random With Replacement Samples Using Base SAS and PROC SURVEYSELECT David D. Chapman 9
NESUG 2001 Simulating Attrition and Visual Models of Type I and Type II Errors Haftan M. Eckholdt 9
NESUG 2001 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing 10
NESUG 2001 The Dirty Dozen: Twelve Common Programming Mistakes Bob Virgile 5
NESUG 2001 The Time Series Forecasting System Charles B. Hallahan 6
NESUG 2001 Untangling Correlated Predictors with Principle Components David R. Roberts 5
NESUG 2001 Using Surveys to Understand the Present and Predict the Future Aliza Heching,
Ying Tat Leung		 6
NESUG 2001 Using the Magical Keyword 'INTO:' in PROC SQL Thiru Satchi 7
VIEWS 2001 A Conjoint-based Choice Modelling Approach Using the PHREG Procedure to Evaluate the Importance of Fisheries Management Objectives Premachandra Wattage,
Simon Mardle,
Sean Pascoe		 14
VIEWS 2001 Communication-Effective and - Efficient Enterprise Performance Reporting LeRoy Bessler 20
VIEWS 2001 Data Mining and Statistical Models in Marketing Campaigns of BT Retail Francesco Vivarelli,
Martyn Johnson		 9
VIEWS 2001 Develop in GUI, Run with Grunt David H. Johnson 8
VIEWS 2001 Making Database QC easy, the PAREXEL way [presentation] Oliver Rees 27
VIEWS 2001 SAS IntrNet, Wireless Computing [presentation] Peter Hobart 46
VIEWS 2001 The Version 8 Applied Statistician David Shannon 15
WUSS 2001 A Macro for Calculating and Displaying Smoking Prevalence and Confidence Intervals Brett Holbrook source 3
WUSS 2001 A Method to Import, Process, and Export Arbritrary XML Files with SAS Michael C. Palmer,
Cecilia A. Hale		 source 5
WUSS 2001 A Sort of a Mess - Sorting Large Datasets on Multiple Keys David L. Cassell source 3
WUSS 2001 Ask DSS Karen L. Wyland source 6
WUSS 2001 Beyond HTML: Using the SAS System Version 8.2 with HTML and XML Frederick E. Pratter source 4
WUSS 2001 Calculating the Error Rate: The Case of the Quality Assurance Audit Edem Kuevor source 3
WUSS 2001 Clean Your Data with PROC SQL Ann Olmsted source 5
WUSS 2001 Computation of expected risk rations in a longitudinal study of sexually transmitted diseases in per-contact risk of HIV using SAS/IML Jesse Albert Canchola,
Sally Blower		 source 5
WUSS 2001 Data Analysis on the Components of Multimedia Courseware Design Leping Liu source 6
WUSS 2001 Deconstructing SAS Jobs: How to Perform a Legacy Code Autopsy Charles vanWynbergen source 5
WUSS 2001 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
WUSS 2001 Graphical Depiction of Bias when Using the Probability Plot Method for Cencored Data Randall Boan source 4
WUSS 2001 How to Create Dynamic HTML and Javascript using your Data Jennifer R. Sinodis source 10
WUSS 2001 How Using Arrays and Formats Allowed Me to Draw 16,000 Random Samples of Specific N without Sorting (and save my hard disk and sanity, too) Miriam G. Cisternas source 4
WUSS 2001 Integrating SAS and OMR Data Scanning Technology to Improve Efficiency with Database Management Peter H. Coulson source 3
WUSS 2001 PROC GLM or PROC CALIS? Diana D. Suhr source 5
WUSS 2001 U.S. Census Bureau Goes OLAP Hung X. Phan,
Lori A. Guido,
Richard A. Denby		 source 6
WUSS 2001 Using SAS Functions for Power Analysis and Sample Size Estimation Mel Widawski source 5
WUSS 2001 What about a PROC RATES for All of Your Rates and Proportions Needs? Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 6
SESUG 2001 A Beginner's Tour of a Project using SAS Macros Led by SAS-L's Macro Maven Ronald J. Fehd source 9
SESUG 2001 A Confidence Interval Approach to Gene Chip Analysis Jennifer L. Waller source 6
SESUG 2001 A Generic Solution to Running the SAS System on the Web without SAS/IntrNet David L. Ward source 8
SESUG 2001 A Simulation Study to Compare the Performance of Permutation Tests for Time by Group Interaction in an Unbalanced Repeated-Measures Design, Using Two Permutation Schemes Mark S. Litaker,
Bob Gutin		 source 5
SESUG 2001 Advanced Methods to Introduce External Data into the SAS System Andrew T. Kuligowski source 10
SESUG 2001 Bootstrapping a Multidimensional Preference Analysis E. Barry Moser,
Xiaoming Liang		 source 4
SESUG 2001 Conversion of SUDAAN Output into Publication-Quality Tables - A Simplified Approach Charlotte Cates Gard source 6
SESUG 2001 Defining Test Data Using Population Analysis Clarence W. Jackson source 6
SESUG 2001 Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing Paul M. Dorfman source 10
SESUG 2001 Evaluating the Use of Enterprise Guide in Introductory Statistics Classes Sandra B. Donaghy,
Joy Munk Smith		 source 8
SESUG 2001 How American Express Saved $1M in CPU Charges Hermes Villalobos source 5
SESUG 2001 Manipulating Data: Elements of the DATA Step Language Paul M. Dorfman source 10
SESUG 2001 P713 Using SAS To Control Multistream Binomial Processes Peter S. Wludyka,
Sheri Jacobs		 source 8
SESUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe source 13
SESUG 2001 Running SAS Applications on the Web Destiny Corporation (a company) source 4
SESUG 2001 Survey Estimates and Variance Estimation Using the SURVEYMEANS Procedure Hossein N. Yarandi,
Shawn M. Kneipp		 source 5
SESUG 2001 Taming the Chaos: Managing Large SAS/AF Applications Using Programming Standards and the Source Control Manager of Version 8 of the SAS System C. Michael Whitney source 8
SESUG 2001 Transforming Single-Record Spreadsheet Data into Multiple Observations Glenda A. Garner source 2
SESUG 2001 Use of SAS/AF V8e to Compare Death Certificate Data with Health Survey Data from the National Center for Health Statistics Gretchen K. Jones source 5
SESUG 2001 Use of SAS/ETS and the BLS-Census Data Ferret for the Comprehensive Everglades Restoration Program Richard A. March source 7
SESUG 2001 Using the SAS Annotate Facility for Creating Custom Graphs Patrick M. McGown source 8
SESUG 2001 Using the SAS System to Estimate Sample Size Requirements for Small Sample Confidence Intervals Confidence Intervals source 5
SCSUG 2001 A Beginner's Tour of a Project using SAS Macros Led by SAS-L's Macro Maven Ronald J. Fehd 9
SCSUG 2001 A Confidence Interval Approach to Gene Chip Analysis Jennifer L. Waller,
Mark G. Anderson		 6
SCSUG 2001 A Generic Solution to Running the SAS System on the Web without SAS/IntrNet David L. Ward 8
SCSUG 2001 A Simulation Study to Compare the Performance of Permutation Tests for Time by Group Interaction in an Unbalanced Repeated-Measures Design, Using Two Permutation Schemes Mark S. Litaker,
Bernard Gutin		 5
SCSUG 2001 Advanced Methods to Introduce External Data into the SAS System Andrew T. Kuligowski 10
SCSUG 2001 Avoiding E-Overload: Personalizing Web Content through Security, E-Intelligence and Data Mining Gregory S. Barnes Nelson 10
SCSUG 2001 Bootstrapping a Multidemensional Preference Analysis E. Barry Moser,
Xiamong Liang		 4
SCSUG 2001 Conversion of SUDANN Output into Publication-Quality Tables--A Simplified Approach Charlotte Cates Gard 6
SCSUG 2001 Defining Test Data Using Population Analysis Clarence W. Jackson 6
SCSUG 2001 Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing Paul M. Dorfman 10
SCSUG 2001 Evaluating the Use of Enterprise Guide in Introductory Statistics Classes Sandra B. Donaghy,
Joy Munk Smith		 8
SCSUG 2001 How American Express Saved $1M in CPU Charges Hermes Villalobos 5
SCSUG 2001 Ideas on Variable Selection and Alternative Links in Procedure CATMOD Kimberly DeJarnatt,
James E. Dunn		 4
SCSUG 2001 Manipulating Data: Elements of the DATA Step Language Paul M. Dorfman 10
SCSUG 2001 OOP Needs OOA and OOD Andrew B. Ratcliffe 5
SCSUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe,
Ralph G. O'Brien		 13
SCSUG 2001 Running SAS Applications on the Web Destiny Corporation (a company) 4
SCSUG 2001 Survey Estimates and Variance Estimation Using SURVEYMEANS Procedure Hossein N. Yarandi,
Shawn J. Kniepp		 5
SCSUG 2001 Taming the Chaos: Managing Large SAS/AF Applications Using Programming Standards and the Source Control Manager of Version 8 of the SAS System C. Michael Whitney 8
SCSUG 2001 Use of SAS/AF V8e to Compare Death Certificate Data with Health Survey Data from the National Center for Health Statistics Gretchen K. Jones,
Sandra T. Rothwell,
Christine S. Cox		 5
SCSUG 2001 Use of SAS/ETS and the BLS-Census Data Ferret for Comprehensive Everglades Restoration Program Richard A. March 7
SCSUG 2001 Using SAS to Control MultiStream Binomial Processes Peter S. Wludyka,
Sheri Jacobs		 8
SCSUG 2001 Using the SAS Annote Facility for Creating Custom Graphs Patrick M. McGown 8
SCSUG 2001 Using the SAS System to Demonstrate the Equivalence of On-line and On-Papeer Survey Adminstration across Levels of Raters Jim Penny 5
SCSUG 2001 Using the SAS System to Estimate Sample Size Requirements for Small Sample Confidence Intervals Jim Penny 5
SCSUG 2001 Using the SAS System to Study the Gender and Level Measurement Equivalence of a Multi-rater Survey Jim Penny 6
SEUGI 2001 A retrospective evaluation of a data mining approach to fetal asphyxia at delivery in a hospital database [presentation] Olavi Kauhanen,
Seppo Heinonen		 source 53
SEUGI 2001 Building a compelling case for Enterprise Miner Within The Bank of Scotland [presentation] Simon Hughes source 33
SEUGI 2001 Cross-selling of insurance products Flavio Bonifacio,
Oreste Porreca		 source 6
SEUGI 2001 Data Mining as Method to Streamline the Drug Discovery Process [presentation] Markus Duerring source 20
SEUGI 2001 Data Mining In a Zero Latency Enterprise [presentation] Philip Bosinoff source 36
SEUGI 2001 Driving CRM with Customer Intelligence [presentation] Adrian Reynolds source 28
SEUGI 2001 Giving the Users what They Expect Jeremy Gurney source 9
SEUGI 2001 How to approach a segmentation project for ten million customers with SAS Enterprise Miner [presentation] Luis Miguel Muruzabal source 26
SEUGI 2001 Improvements Made with Output Delivery System in Data Processing Maja Ledic Blazevic source 5
SEUGI 2001 Improving Datamining Results Through Data Selection and Preparation [presentation] Hein Lochner,
Nigel Wigram		 source 49
SEUGI 2001 Intelligently screening New Business [presentation] Paull Lawrence source 30
SEUGI 2001 IT Management Solutions - Strategic Directions [presentation] Richard Seery source 22
SEUGI 2001 Kaleidos - A Splash of Colour for the "Silvery Haired" [presentation] Guido Cuzzocrea,
Ignazia Vitali,
Linda Pimpinelli,
Salvina Piccarreta		 source 32
SEUGI 2001 Knowledge Solution for the SAP R/3 IT Management [presentation] Christine Ritter source 24
SEUGI 2001 Mining the earth's diamonds: SAS' role for information delivery and knowledge advancement [presentation] Dave Apter source 34
SEUGI 2001 Modelling web trajectories of portal customers by mining clickstream data [presentation] Angela Rinaldi,
Furio Camillo		 source 23
SEUGI 2001 Practical SAS/IntrNet 8.2 - Point and Click Web Pages with Design-Time Controls amongst other things! [presentation] Ingrid Hertel source 30
SEUGI 2001 Querying Star and Snowflake Schemas in SAS Bart Heinsius source 5
SEUGI 2001 Sales Tools in BANCAJA For A Multi-Channel And Customized Distribution of Financial Services [presentation] Jose M. Narciso source 16
SEUGI 2001 Send in the Clones [presentation] Philip Whittall source 22
SEUGI 2001 Setting new Standards in Customer Satisfaction Measurement [presentation] Henrik Helmholt source 19
SEUGI 2001 Silcon.com - The who, what, when, where and why of e-business [presentation] Tom Bureau source 27
SEUGI 2001 Teaching statistics and the SAS System Barbara G. Schneider source 10
SEUGI 2001 Testing for the geographic representativeness of data subsets - The Nugget Effect or Degress of Difficulty [presentation] Frederick D. Busche source 21
SEUGI 2001 The Portfolio Forecasting System [presentation] Paul Alton source 25
SEUGI 2001 WAP! WAP! Know Your Network Performance! Anywhere! Any time! [presentation] Marc-Andre Bumann source 25
SEUGI 2001 Web clickstream analysis to understand customer behaviour [presentation] Erika Blanc,
Paolo Giudici		 source 21
SEUGI 2001 What's New in SAS/Warehouse Administrator Software [presentation] Wilbram Hazejager source 43
PharmaSUG 2001 A Method to Import, Process, and Export Arbitrary XML Files with SAS Michael C. Palmer,
Cecilia A. Hale		 4
PharmaSUG 2001 Applying Statistical Sampling Plans To Data Entry Procedures To Increase Data Quality Roderick Lashley 4
PharmaSUG 2001 Developing a SAS Macro Library to Create Standard Clinical Data Summary Reports Chad W. Melson,
James T. Decker		 10
PharmaSUG 2001 Imputation Techniques Using SAS Software For Incomplete Data In Diabetes Clinical Trials Naum M. Khutoryansky,
Won-Chin Huang		 4
PharmaSUG 2001 Leveraging Existing SAS Programs for Wireless Delivery Deborah A. Testa,
Russell Holmes		 3
PharmaSUG 2001 New Visualization in V8.2 Himesh Patel 8
PharmaSUG 2001 Power and Sample Size Determination for Linear Models John M. Castelloe 14
PharmaSUG 2001 Reducing Bias in a Propensity Score Matched-Pair Sample Using Greedy Matching Techniques Lori S. Parsons 6
PharmaSUG 2001 Testing the Trend of a Response Curve to an Increasing Sequence of Doses: A SAS Macro to Automate the Analysis Donghui Zhang 4
PharmaSUG 2001 Unit-of-Analysis Programming Vanessa C. Hayden,
Fidelity Investments		 6
PharmaSUG 2001 Using SAS to Create a Centralized Parameter File for Analysis and Reporting Phebe Joseph 4
PharmaSUG 2001 Using SAS Version 8.1 Output Delivery System to Automate Two Sample Test Selection 4
PharmaSUG 2001 Web-Enabling Your SAS Applications Using Only Base SAS David L. Ward 6
SUGI 2001 A Beginner's Tour of a Project using SAS Macros Led by SAS-L's Macro Maven Ronald J. Fehd source 9
SUGI 2001 A Pattern for Dynamic Web Content: SAS Server Pages Jack E. Fuller source 6
SUGI 2001 A Practical Introduction to the Power of Enterprise Miner Michael S. Lajiness source 7
SUGI 2001 An Introduction to Computing and Interpreting Cronbach Coefficient Alpha in SAS Chong Ho Yu source 6
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
SUGI 2001 Approximations to Distributions of Test Statistics in Complex Mixed Linear Models Using SAS PROC MIXED G. Bruce Schaalje source 6
SUGI 2001 Creating a Consolidated Report from Several SAS Outputs Using DATA _NULL_ and PUT Statements Anne Horney,
Gail F. Kirk		 source 6
SUGI 2001 Cycle Down to Launch: Streamlining Production at Lockheed Martin Martin Dave Jennings,
Radhika V. Kulkarni		 source 8
SUGI 2001 Develop in GUI, Run with Grunt David H. Johnson source 8
SUGI 2001 Dynamic Applications to Satisfy an Ever Changing World Bernard R. Poisson source 4
SUGI 2001 Escaping Flatland: Chernoff's Faces Revisited Wendy B. Dickinson source 12
SUGI 2001 Fast and Easy Ways to Annoy a Statistician: The Sharing and Presentation of Data Between a SAS Programmer and a Statistician Richard M. Mitchell source 10
SUGI 2001 Integrating SAS and OMR Data Scanning Technology to Improve Efficiency with Database Management Peter H. Coulson source 3
SUGI 2001 Introducing External Data to the SAS System - The Interactive Session Andrew T. Kuligowski source 10
SUGI 2001 Migrate to Oracle? I Need My SAS!! Dianne Louise Rhodes source 5
SUGI 2001 Modeling Lifetime Value in the Insurance Industry C. Olivia Parr Rud source 8
SUGI 2001 More Than Just VALUE: A Look into the Depths of PROC FORMAT Peter J. Lund source 10
SUGI 2001 Multivariate Methods for Process Knowledge Discovery:The Power to Know Your Process Bob Rodriguez source 12
SUGI 2001 New Methods for Modeling Reliability Using Degradation Data Jose G. Ramirez,
Gordon Johnston		 source 7
SUGI 2001 New Visualization in V8.2 Himesh Patel source 7
SUGI 2001 One Engine, Three Apps - Rapid Application Development By Not Writing Code Amy Swinford source 4
SUGI 2001 Partitioned Mahalanobis D^2 to Improve GIS Classification Lynette K. Duncan,
James E. Dunn		 source 6
SUGI 2001 Power and Sample Size Determination for Linear Models John M. Castelloe,
Ralph G. O'Brien		 source 13
SUGI 2001 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta source 9
SUGI 2001 Probabilistic Hindsight: A SAS Macro for Retrospective Statistical Power Analysis Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 10
SUGI 2001 PROC GLM or PROC CALIS? Diana D. Suhr source 3
SUGI 2001 Querying Star and Snowflake Schemas in SAS Bart Heinsius source 5
SUGI 2001 Quick Disk Table Look-up via Hybrid Indexing into a Directly Addressed SAS Data Set Paul M. Dorfman source 6
SUGI 2001 Reducing Bias in a Propensity Score Matched-Pair Sample Using Greedy Matching Techniques Lori S. Parsons source 6
SUGI 2001 Reduction of Symbols in Plots and Generation of Accompanying Legend Using Annotate Dean D. Clous source 3
SUGI 2001 SAS User Support: Simple, Effective Web Page Design Bruce F. Gilsen,
Scott Hoenig		 source 10
SUGI 2001 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 2001 Statistical Quality Control and a Capability Analysis Paul W. Johnson,
Ling Huang		 source 5
SUGI 2001 Storing and Resolving Dynamic Formulas Chris D. St. Peter source 6
SUGI 2001 Table Look-Up by Direct Addressing: Key-Indexing - Bitmapping - Hashing Paul M. Dorfman source 10
SUGI 2001 The Phoenix: Creating Applications which Outlive Current Users Jeff LeSueur,
Dana Rafiee		 source 4
SUGI 2001 The SAS Debugging Primer Frank C. DiIorio source 10
SUGI 2001 The Visualization of Continuous Data Using PROC KDE and PROC CAPABILITY George R. Barnes,
Patricia B. Cerrito		 source 6
SUGI 2001 Using Dynamic Data Exchange to Export Your SAS Data to MS Excel - Against All ODS, Part I Koen Vyverman source 10
SUGI 2001 Using SAS to Write SAS - Automate Your Programming Tasks Pamela L. Reading source 5
SUGI 2001 Wireless SAS Applications for Tracking Clinical Research Deborah A. Testa,
Russell Holmes		 source 3
SUGI 2001 You Could Look It Up: An Introduction to SASHELP Dictionary Views Michael L. Davis source 10
SCSUG 2000 Dynamic, Data-Driven, Web-Based Applications to Satisfy an Ever Changing World Bernard R. Poisson 7
SCSUG 2000 Estimating Regression Models with Spatially-Correlated Errors Using the MIXED Procedure Sam Field 15
SCSUG 2000 Methods of Reporting Via the Web Using SAS.IntrNet Kevin Davidson 10
SCSUG 2000 Patterns for Producing Web-Enabled Applications Dave Naden 10
SCSUG 2000 Running SAS Applications on the Web Destiny Corporation (a company) 4
SCSUG 2000 Web-Enabling EIS Applications: Take 2 David B. Horne,
Donald J. Henderson,
Vincent DelGobbo		 8
SESUG 2000 Computing the Approximate and Exact Leaving-One-Out Method in Multiple Group Logistic Discrimination with the SAS System Mohamed H. Hussein source 6
SESUG 2000 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SESUG 2000 Effective SAS User Support: Utilize the Power of the Intranet Lisa M. Davis source 3
SESUG 2000 Enterprise Integration Technologies - What Is It and What Can It Do for Me? Scott Vodicka source 7
SESUG 2000 Exploratory Data Analysis using PROC UNIVARIATE Robert E. Maitland Jr. source 4
SESUG 2000 Macros In Scoring Jukui Yi source 6
SESUG 2000 Organizing Ultra-Quick Disk Table Lookup via Hybrid Indexing Into a Directly Addressed SAS Data Set Paul M. Dorfman source 6
SESUG 2000 Panel Discussion on Problem Solving Frank C. DiIorio,
Paul M. Dorfman,
H. Ian Whitlock		 source 21
SESUG 2000 Performing Exact Logistic Regression with the SAS R /AD System Robert E. Derr source 10
SESUG 2000 Producing a Browseable Statistical Package Using SAS John Iwaniszek,
George E. Demuth,
Michael DeSpirito		 source 6
SESUG 2000 Producing a Table of Seeds for Random Number Generation F. Joseph Kelley source 4
SESUG 2000 Random Sample Selection Imelda C. Go source 2
SESUG 2000 SAS as a Utility Language: Using SAS for Solving Little Problems Gary E. Schlegelmilch source 6
SESUG 2000 SAS Software Macros - You're Only Limited by Your Imagination Peter Parker source 8
SESUG 2000 Table Lookup via Direct Addressing: Key-Indexing, Bitmapping, Hashing Paul M. Dorfman source 11
SESUG 2000 Test Development: Ten Steps to a Valid and Reliable Certification Exam Linda Althouse source 8
SESUG 2000 Underlying Construct Analysis (UCA): Where Individual Systems End and Human Systems Begin Alvin L. Killough source 8
SESUG 2000 Using Data Mining Technology to Identify and Prioritize Emerging Opportunities for Mortgage Lending to Homeownership-Deficient Communities Mortgage Lending source 10
SESUG 2000 Using SAS to Perform Robust I-Sample Analysis of Means Type Randomization Tests for Variances Peter S. Wludyka source 6
SESUG 2000 Using SAS to Write SAS - Automate Your Programming Tasks Pamela L. Reading source 5
SESUG 2000 Using The SAS System To Examine The Effect Of Augmentation On The Inter-Rater Reliability Of Holistic Ratings Jim Penny source 6
SESUG 2000 You Could Look It Up: An Introduction to SASHELP Dictionary Views Michael L. Davis source 10
NESUG 2000 A Pragmatic Intent-to-Treat Analysis Using SAS Patricia R. Houck,
Sati Mazumdar,
Kenneth S. Liu,
Charles F. Reynolds III		 5
NESUG 2000 A SAS Macro for Simple Random Sampling Chang Jiang 3
NESUG 2000 A SAS/IntrNet Java Program for Delivering Graphical Information of Remotely Monitored Processes. Wing K. Chan,
David C. Steven		 5
NESUG 2000 Ad hoc Validation of Multivariate Regression Using PROC FACTOR with BY Groups Susan B. Garavaglia,
Asha Sharma,
Stephen Thompson		 10
NESUG 2000 All the Data That Fits, We Print Janet E. Stuelpner,
Elizabeth Kaptsanov		 7
NESUG 2000 Bulletproofing Your SAS Results Vanessa C. Hayden 5
NESUG 2000 Clinical Trial Laboratory Data Management using the SAS System Marianne Hack 5
NESUG 2000 Creating a Consolidated Report from Several SAS Outputs Using DATA NULL and PUT Statements Anne Horney,
Gail F. Kirk		 7
NESUG 2000 Developing an Open Client in Visual Basic Daniel Jahn 5
NESUG 2000 Exploring Oracle.... Data Dictionary, a htmSQL.... Utility Hsiwei Yu,
Wen-Hsiung Lee		 4
NESUG 2000 Generating Item Responses for Balance-Incomplete-Block (BIB) Design Using the Generalized Partial Credit Model (GPCM) Brenda Siok-Hoon Tay-Lim 7
NESUG 2000 Generating Simple and Complex Random Samples Using the RANUNI Function Rebecca Goldblatt 3
NESUG 2000 How to Be a Bayesian in SAS: Model Selection Uncertainty in PROC LOGISTIC and PROC GENMOD Ernest S. Shtatland 9
NESUG 2000 Methods for the Analysis of Clustered Ordinal Response Data Robert J. Gallop,
J. Richard Landis,
Thomas R. Ten Have		 7
NESUG 2000 Migrate to ORACLE? I Need My SAS Software! Dianne Louise Rhodes 5
NESUG 2000 NPV Modeling for Direct Mail Insurance C. Olivia Parr Rud 7
NESUG 2000 Point & Click Forecasting with the Time Series Forecasting System Charles B. Hallahan 9
NESUG 2000 Running SAS Applications on the Web Destiny Corporation (a company) 4
NESUG 2000 SAS Software Macros - You're Only Limited by Your Imagination Peter Parker 8
NESUG 2000 SAS User Support and the Intranet: Web Pages, In-House Documentation, and Sample Library Bruce F. Gilsen,
Scott Hoenig		 10
NESUG 2000 Saving Paper and Making it Pretty: A SAS Macro for Simplifying and Enhancing Preliminary Analysis of Continuous Data Benjamin E. Leiby 7
NESUG 2000 Seeking, Mapping, and Fuzzy Merging Data Structures in a Networked Environment Haftan M. Eckholdt 8
NESUG 2000 Think Outside the Box: Analysis of Categorical Data Margaret Ann Goetz 5
NESUG 2000 Using a Fuzzy Merge to Combine Customer Performance Information Across Accounts Helen-Jean Talbott 3
NESUG 2000 Using Batch MVS SAS.... To Send Email Via A UNIX.... Email Server Stephen M. Englert 5
NESUG 2000 Using Style Sheets to Format SAS Output Web Page Layout Shi-Tao Yeh 5
NESUG 2000 You Could Look It Up: An Introduction to SASHELP Dictionary Views Michael L. Davis 10
WUSS 2000 Analyzing Multiple Health Outcomes Using the SAS System's PROC CATMOD Besa Smith source 5
WUSS 2000 Data Warehousing for Data Mining: A Case Study C. Olivia Parr Rud source 9
WUSS 2000 How to Create Dynamic HTML and Javascript using your Data Jennifer R. Sinodis source 6
WUSS 2000 Patterns for Producing Web-Enabled Applications SAS Institute (a company) source 10
WUSS 2000 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta source 5
WUSS 2000 PROC CALIS Multi-Sample Analysis Diana D. Suhr source 3
WUSS 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
WUSS 2000 Test Development: Ten Steps to a Valid and Reliable Certification Exam Linda Althouse source 8
WUSS 2000 Tracking a Multi-Source Sampling Effort Kathryn A. Valdes source 6
WUSS 2000 Using SAS to Calculate Kappa and Confidence Intervals for Binary Data with Multiple Raters, and the Consensus of Multiple Diagnoses Arthur M. Noda,
Helena Chmura Kraemer,
Vyjeyanthl S. Perlyakoll		 source 6
MWSUG 2000 Building a Better Data Entry Applciation Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 10
SEUGI 2000 An ordered list of customers for a new Bank: scoring with EM 3.0 [presentation] Flavio Bonifacio source 14
SEUGI 2000 Business Intelligence in Telefonica I+D (R&D) [presentation] Alfredo Jesus Serrano source 32
SEUGI 2000 Churn Prediction - The important element in the retention process [presentation] Gerhard Wanek source 15
SEUGI 2000 Creating and exploiting a "Customer Table" with the SAS System: from the Data Warehouse to Direct Marketing Campaigns Guido Cuzzocrea,
Frank Fiocca,
Salvina Piccarreta		 source 7
SEUGI 2000 Credit Risk Measurement for a Bank Loans Portfolio Emiliano Laruccia,
Valter Lazzari		 source 11
SEUGI 2000 Data Driven approach for channel usage segmentation [presentation] Vera Helman source 25
SEUGI 2000 Data Warehouse on administrative data of enterprises [presentation] Giovanna Del Mondo source 23
SEUGI 2000 E.S.S.E. Editing Systems Standard Evaluation - Software Framework [presentation] A. Manzari,
G. Della Rocca,
M. Di Zao,
O. Luzi		 source 20
SEUGI 2000 Efficiency Using Enterprise Reporter [presentation] Nikkie Windsor source 37
SEUGI 2000 Enhance SAP step-by-step with Customer Relationship Management Functionality [presentation] Patrick Schünemann source 21
SEUGI 2000 Enterprise Mineer vs Underlying SAS Code: A Performance Comparison [presentation] Usama Hasan source 11
SEUGI 2000 Evolution of Multi-Channel CRM at BMG Direct US [presentation] Jeff LeSueur source 27
SEUGI 2000 Knit Perl and SAS Software for DIY Web Applications Philip R. Holland source 12
SEUGI 2000 Portfolio analysis with SAS System and utilization of this information in the process of the Risk Provision creation [presentation] Julia Farkasova source 21
SEUGI 2000 Publitalia '80 Prj. MAGIA - global management of accounting collections [presentation] Antonio Bellato source 28
SEUGI 2000 Research on Applicability of Markowitz efficient set of portfolios to Russian Equity Market [presentation] L. N. Melnikov,
V. Y. Kulyshev,
Vasily Sorokoumov		 source 47
SEUGI 2000 SAS environment harnessed to reporting system execution at the customs distributed structure [presentation] Tadeusz Lewandowski,
Wojciech Bułakowski		 source 50
SEUGI 2000 SAS for Computer Aided Telephone Interview (CATI) [presentation] Gianluca Bo source 38
SEUGI 2000 Taking advantage of the SAS System on OS/390 [presentation] David Crow source 35
SEUGI 2000 Telephone Rates Simulator (TRS) [presentation] Pedro Perez-Sandoval source 23
SEUGI 2000 The Art of Building Predictive Scorecards [presentation] Duncan Hale source 15
SEUGI 2000 Tracking research of public information campaigns in the Netherlands [presentation] Jaap Veenstra,
Marc Arnold		 source 28
SEUGI 2000 Using Enterprise Miner to explore pattern and process in biodiversity surveillance data for Great Britain [presentation] John W. Watkins,
Simon M. Smart		 source 11
SEUGI 2000 Using SAS System in the Media Research Projects [presentation] Elena Maslova,
S. Poppv,
T. Barsov		 source 38
SEUGI 2000 Web Tool Box - Puzzlestones for SAS/IntrNet Applications [presentation] Stephan Tobler source 21
PharmaSUG 2000 A SAS Macro For Creating a Standard Directory Structure Andrea Dynder 5
PharmaSUG 2000 A SAS Tool for the Presentation and Statistical Analysis of Data from Bioavailability and Bioequivalence Studies Melvin S. Munsaka,
Carl R. Haske		 8
PharmaSUG 2000 Calculating a Nonparametric Estimate and Confidence Interval Using SAS Software Chris Decker 3
PharmaSUG 2000 Expedite Processing Central Laboratory Data with Working Practices, Standards and SAS Margaret Hung,
Henry Shades,
Michael Acra		 4
PharmaSUG 2000 Matched Sampling Using SAS Software Edgar L. Mounib,
Thiru Satchi		 6
PharmaSUG 2000 Random Simulation Methods for Computing Power and Sample Size for Tukey's Trend Test Benjamin Duncan 6
PharmaSUG 2000 SAS for Statistics; <XML for Output> Michael C. Palmer 4
SUGI 2000 A Primer in Spatial Simulation with PROC SIM2D Robert G. Downer source 3
SUGI 2000 A Randomization Test: Somatic Cell Count Slope Comparisons of 55 California Dairies Paul W. Johnson source 4
SUGI 2000 A SAS Macro for Balancing a Weighted Sample David Izrael,
Michael P. Battaglia,
David C. Hoaglin		 source 6
SUGI 2000 Analysis of Environmental Data Using JMP Andy Mauromoustakos source 6
SUGI 2000 Analyzing Complex Sample Survey Data: A New Beginning Linda Tompkins,
Arlene B. Siller		 source 3
SUGI 2000 Automatically Converting Data Set Specifications Melanie A. Paules,
Shi-Tao Yeh,
Pilita R. Canete		 source 6
SUGI 2000 Automating the Selection of Controls in Case-Control Studies Thiru Satchi,
Edgar L. Mounib		 source 6
SUGI 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews source 10
SUGI 2000 Building A Better Data Entry Application Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 source 10
SUGI 2000 Correcting for Missing Discrete Responses in Business Surveys Lawrence C. Marsh source 10
SUGI 2000 Data Warehousing for Data Mining: A Case Study C. Olivia Parr Rud source 9
SUGI 2000 Design and Analysis of Cancer Control Studies via the SAS System Jeff A. Sloan,
Charles L. Loprinzi,
Paul J. Novotny		 source 10
SUGI 2000 Dynamic Drillable Map on the Internet Using the Output Delivery System and SAS/GRAPH Software Hsiwei Yu,
Chapman P. Gleason		 source 3
SUGI 2000 Flexibility in Data Management Through the SAS System Shawn P. Thomas,
Brandon L. Welch,
Keely P. Casey		 source 6
SUGI 2000 Generating Case Report Form Tabulation David L. Wade,
Shi-Tao Yeh		 source 5
SUGI 2000 Improved Confidence Interval on the Mean Response in Simple Linearizable Regression Mark Carpenter,
Pandu P. Kulkarni		 source 6
SUGI 2000 Introduction to Dynamic Web Publishing Faith Reneé Sloan source 9
SUGI 2000 Introduction to Dynamic Web Publishing Faith Reneé Sloan source 9
SUGI 2000 Minimizing Development Risk While Maximizing Warehouse Performance on UNIX Systems Jeff LeSueur source 5
SUGI 2000 Multidimensional Arrays in SAS/IML Software Michael Friendly source 8
SUGI 2000 Multiple Imputation for Missing Data: Concepts and New Development Yang Yuan source 10
SUGI 2000 OOP Needs OOA and OOD Andrew B. Ratcliffe source 5
SUGI 2000 Performing Exact Logistic Regression with the SAS System Bob Derr source 10
SUGI 2000 Private Detectives in a Data Warehouse: Key-Indexing, Bitmapping, and Hashing Paul M. Dorfman source 10
SUGI 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SUGI 2000 Production-Strength Data Mining Environment for Terabyte-Class Relational Data Warehouses Michael K. Nichols,
John Zhao,
John David Campbell		 source
SUGI 2000 Pseudo-Random Numbers: Out of Uniform Robert E. Johnson,
Hui Liu		 source 3
SUGI 2000 Robust Effect Size Estimates and Meta-Analytic Tests of Homogeneity Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 6
SUGI 2000 Sample Size Computations and Power Analysis with the SAS System John M. Castelloe source 8
SUGI 2000 SAS Procedures for Use in Public School Accountability Programs Sean W. Mulvenon,
Ronna C. Turner,
Barbara J. Ganley,
Antoinette R. Thorn,
Kristina A. Fritts Scott		 source 5
SUGI 2000 SAS User Support and the Intranet: Web Pages, In-House Documentation, and Sample Library Bruce F. Gilsen,
Scott Hoenig		 source 10
SUGI 2000 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing,
Ray Pass		 source 10
SUGI 2000 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 2000 Successful Information Delivery: Integrate Your Data Warehouse and Other SAS Applications with Enterprise Reporter Software D. Mikkelsen source 10
SUGI 2000 Successful Information Delivery: Integrate Your Data Warehouse and Other SAS Applications with Enterprise Reporter Software Jens Dahl Mikkelsen source 10
SUGI 2000 Test Development: Ten Steps to a Valid and Reliable Certification Exam Linda Althouse source 8
SUGI 2000 The Anatomy of a Report: A Macro Driven Approach Diane E. Brown source 10
SUGI 2000 The Time Series Forecasting System Charles B. Hallahan source 9
SUGI 2000 The Use of Kernel Density Estimators to Monitor Protocol Compliance Patricia B. Cerrito,
George R. Barnes		 source
SUGI 2000 Using a Fuzzy Merge to Combine Customer Performance Information Across Accounts Helen-Jean Talbott source 3
SUGI 2000 Using Propensity Scores to Adjust for Group Differences: Examples Comparing Alternative Surgical Methods David J. Pasta source 7
SUGI 2000 Using SAS/IntrNet Software to Support Distributed Data Entry Kathryn M. Trinkaus,
Paul A. Thompson,
J. Philip Miller		 source 6
SUGI 2000 Using the Magical Keyword 'INTO:' in PROC SQL Thiru Satchi source 8
SCSUG 1999 An Introduction to Gibbs Sampling Scott Burk 9
SCSUG 1999 Data Manipulation and Report Writing Techniques Julie Wallace 10
SCSUG 1999 Functions in SAS Destiny Corporation (a company) 3
SCSUG 1999 Running SAS Applications on the Web Destiny Corporation (a company) 4
SCSUG 1999 Statistics Without DATA _NULLS_ Michael C. Palmer,
Cecilia A. Hale		 6
SCSUG 1999 Taming the Chaos: Managing Large SAS/AF Applications Using Programming Standards and the Source Control Manager of Version 7 of the SAS System C. Michael Whitney 8
SESUG 1999 A SAS Program to Calculate and Plot Widths of (1-α)100% Confidence Intervals for Binomial Proportions Maribeth H. Johnson,
Mark S. Litaker		 source 2
SESUG 1999 An Interactive GUI Front-End for a Credit Scoring Modeling System Jeffrey Morrison,
Futian Shi,
Timothy Lee		 source 6
SESUG 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SESUG 1999 Do We Know How to Function? Janet E. Stuelpner source 7
SESUG 1999 Hot-Deck Imputation: A Simple DATA Step Approach Lawrence W. Altmayer source 7
SESUG 1999 Providing Web-Based Support for SAS Users at NC State University Joy Munk Smith source 6
SESUG 1999 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud source 8
SESUG 1999 Statistics Without DATA _NULLS_ Michael C. Palmer,
Cecilia A. Hale		 source 6
SESUG 1999 Tessera Rapid Modeling Environment: Production-Strength Data Mining Solution for Terabyte-Class Relational Data Warehouses Michael Nichols,
John Zhao,
John David Campbell		 source 9
SESUG 1999 Using SAS to Perform the Analysis of Means for Variances Test Peter S. Wludyka source 6
SESUG 1999 Using the SAS System to Examine the Agreement between Two Programs That Score Surveys Using Samejima's Graded Response Model Jim Penny source 7
WUSS 1999 A SAS/AF Application for Parallel Extraction, Transformation, and Scoring of a Very Large Database Daniel W. Kohn,
David L. Kuhn		 source 7
WUSS 1999 Application of Threshold Models to the Detection of IgG and IgM Antibodies Louis Munyakazi source 4
WUSS 1999 Are Histograms Giving You Fits? New SAS Software for Analyzing Distributions Nathan A. Curtis source 10
WUSS 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 6
WUSS 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
WUSS 1999 Forecasting Geographic Data Michael J. Leonard,
Renee Samy		 source 7
WUSS 1999 From SAS Access to E-Mail: Building an Automated Report Application Karl Jensen,
Matthew L. Greathouse		 source 7
WUSS 1999 HTML Table Report Using the SAS DATA STEP Cyril Ravindra source 3
WUSS 1999 Manipulating SCL Lists Available Through EIS Classes To Customize A Multidimensional Report Jessica M. Gallegos,
Matthew E. Westover		 source 4
WUSS 1999 Site Specific Reports: Comparing each part to the whole using numbers and figures Jenny Yu source 6
WUSS 1999 Statistics Without DATA _NULLS_ Michael C. Palmer,
Cecilia A. Hale		 source 6
WUSS 1999 Use FORMATS to Make Your Reports More Informative David Fickbohm source 5
WUSS 1999 Using PROC EXPAND with Time Series Data Andrew H. Karp source 4
NESUG 1999 A Method for Developing Data-Driven Market Area Clusters Joseph S. Brenner 9
NESUG 1999 Applying Familiar Non-Parametric Tests to Evaluation of Neural Network Inputs Susan B. Garavaglia 10
NESUG 1999 Big Iron 101: Making the Transition from PC to Mainframe without Getting Fired Mary A. McDonald 6
NESUG 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud 7
NESUG 1999 Dynamic Variable Lists Darlene Skarbek,
Warren E. Stinson		 2
NESUG 1999 Experience Learned in Deploying htmSQL Based Application Hsiwei Yu,
Chapman P. Gleason		 6
NESUG 1999 Exploratory Data Analysis: Getting to Know Your Data Michael A. Walega 8
NESUG 1999 Graphical Techniques for Displaying Multivariate Data James R. Schwenke,
Brian J. Fergen		 9
NESUG 1999 Modeling Customer Choice David R. Roberts 6
NESUG 1999 SAS Macros for Grouping Count and Its Application to Enhance Your Reports Shi-Tao Yeh 5
NESUG 1999 SAS Software MDDBs Solve Real-World Problems for 1997 Economic Census Shirin A. Ahmed,
Kimberly D. Yarbrough		 7
NESUG 1999 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing,
Ray Pass		 10
NESUG 1999 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 10
NESUG 1999 The Detection and Correction of Sample Selection Bias in Patient Satisfaction Surveys: A Two-Step Application of PROC PROBIT Guy Pascale,
Howard Peters		 10
NESUG 1999 The Results of Cluster Analysis of Clinical Data Using the Fastclus Procedure Lev Sverdlov,
John F. Noble,
Gabriela Nicolau		 9
NESUG 1999 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 10
NESUG 1999 Understanding Behavioral Trends and Patterns in Populations: Revisiting the Clinical Pathway Model Enya N. B. Garcia 1
NESUG 1999 Using context sensitive popmenus to enter values in a SAS/AF Data Table object Richard A. DeVenezia 8
MWSUG 1999 A General Gibbs Sampling Algorithm for Analyzing Linear Models Using the SAS System Jayawant N. Mandrekar,
Daniel J. Sargent,
Paul J. Novotny,
Jeff A. Sloan		 6
MWSUG 1999 Building a Better Data Entry Applciation Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 11
MWSUG 1999 Enhancement in Easy Interface for SAS - A SAS Application on the Windows Platform John (Zhaun) Xu 9
MWSUG 1999 Multivariate Time Series Analysis - An adaptation of Box-Jenkins Methodology Joseph N. Ladalla 6
MWSUG 1999 Sample Size Determination From A Pilot Bioequivalence Study For A Future Pivotal Bioequivalence Study: A SAS Procedure Xiang Gao,
Henry Cheng		 7
MWSUG 1999 SAS Engineered MVS Tools: Source Code Change Report Tony Melfi 5
MWSUG 1999 Tips about Using Data Step Option Point access Jingren Shi,
Shiling Zhang		 5
MWSUG 1999 Using Continuous Sampling Plans to Quantify the Effectiveness of Quality Assurance Checks on Data From Clinical Trials Dennis W. King,
Roderick Lashley		 4
SEUGI 1999 A user friendly interface for simultaneuos non-linear regression on sets of metallurgical deformation curves [presentation] Ronald Mulder source 20
SEUGI 1999 Better healthcare with the correct information [presentation] Goran Lord,
Hans Gustafsson		 source 26
SEUGI 1999 Comparison of various statistical techniques to support market retention and acquisition programs [presentation] Ian Thornhill source 66
SEUGI 1999 Credit risk analysis: an empirical approach [presentation] Angela Ancona,
Emiliano Laruccia,
Flavio Addolorato		 source 22
SEUGI 1999 Design patterns for Web enablement [presentation] Chip Kelly,
Mark Torr		 source 34
SEUGI 1999 Developing a SAS data management system using FRAME technology [presentation] David Smith,
Sandy Meek		 source 33
SEUGI 1999 Enhancing your output utilising RTF files from within Base SAS software [presentation] Rudy Gyzen source 18
SEUGI 1999 Experiences from developing STARA: Starckjohann Sales Reporting System [presentation] Olavi Joutsi source 10
SEUGI 1999 Experiences when using SAS/PH-Clinical software in clinical trials [presentation] Gunnar Magnusson source 28
SEUGI 1999 Finding the hot prospects in a legacy of diamonds: how to build good CRM given sparse demographics [presentation] Charles Stiffler,
Vesna Luzar-Stiffler		 source 23
SEUGI 1999 Information everywhere - Application Integration across the Enterprise [presentation] Allan Russell source 57
SEUGI 1999 Insurance application: marketing database, forecasting model and cluster design at Reale Mutura Assicurazioni Flavio Bonifacio source 16
SEUGI 1999 KPMG's rating predictor models [presentation] Christophe de Noaillat source 14
SEUGI 1999 New product marketing analysis and launch [presentation] Jose Manuel Rey source 80
SEUGI 1999 OLE DB for OLAP: SAS Institute Leading the Way Duane E. Ressler,
Mark Moorman,
Randy Pierce		 source 4
SEUGI 1999 Quasi-Monte Carlo applications for financial risk management [presentation] Maurizio Mondello,
Maurizio Ferconi		 source 28
SEUGI 1999 Quast: the Monsanto system for quality control and analysis [presentation] Stijn Vermeulen source 22
SEUGI 1999 S.O.C.R.A.T.E.S. Simultaneous Optimal Control by Recursive and Adaptive Estimation Systsem Giacomo Patrizi source 12
SEUGI 1999 SAS Enterprise Miner templates for database marketing applications Federico Ambrogi,
Guido Cussocrea,
Massimo Saputo		 source 6
SEUGI 1999 SAS Macros for Grouping Count and Its Application to Enhance Your Reports Shi-Tao Yeh source 5
SEUGI 1999 Security Concept and Implementation in a Data Warehouse [presentation] Christina von Rotz source 18
SEUGI 1999 Strategic Use of Customer Lifetime Value [presentation] Tony Woods source 25
SEUGI 1999 The Analyst Application [presentation] Frank Boggasch source 13
SEUGI 1999 Tracking research of public information campaigns in the Netherlands [presentation] Piet van Montfort,
Stephan Kordelaar		 source 32
SEUGI 1999 Universal system for distribution of data and reports from SAS applications Pawel Machalski source 6
SEUGI 1999 Using SAS/IML to fit embedded models to accelerated life test data Alan John Watkins,
Richard E. Johnson		 source 7
SUGI 1999 A General Gibbs Sampling Algorithm for Analyzing Linear Models Using the SAS System Daniel J. Sargent,
Jayawant N. Mandrekar,
Paul J. Novotny,
Jeff A. Sloan		 source
SUGI 1999 A Generalized Rounding Alternative Jeff P. Palmer source 3
SUGI 1999 A Process for Automatically Retrieving Database using ODBC and SAS/ACCESS SQL Procedure Pass-Through Facility Leiming Li source 4
SUGI 1999 A SAS Module/Macro Program for Computing Statistical Power Curves for Detecting Treatment Effect David Olaleye source 6
SUGI 1999 A SAS/AF Application for Parallel Extraction, Transformation, and Scoring of a Very Large Database Daniel Kohn,
David Kuh		 source 7
SUGI 1999 Advanced Methods to Introduce External Data into the SAS System Andrew T. Kuligowski source 10
SUGI 1999 An Interactive GUI Front-End for a Credit Scoring Modeling System Jeffrey Morrison,
Futian Shi,
Timothy Lee		 source
SUGI 1999 An Introduction to SAS/ASSIST Software Linda P. Atkinson source 6
SUGI 1999 Analyzing Oncology Patient Health Care Costs Using the SAS System Jeff A. Sloan,
Steven S. Cha,
Judith L. Wagner,
Cristine Allmer,
Steven R. Alberts,
Jed Lindman		 source 6
SUGI 1999 Annotated Case Report Form Automation System Anthony M. Cavaliere,
Shi-Tao Yeh		 source 5
SUGI 1999 Behind Marketing Data Flavio Addolorato,
Silvia Pacei		 source 6
SUGI 1999 Building A Better Data Entry Application Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 source 10
SUGI 1999 Canonical Correspondence Analysis in SAS Software Laxman M. Hegde,
Dayanand N. Naik		 source 7
SUGI 1999 Code or DATA? H. Ian Whitlock source 10
SUGI 1999 Cross Crossover Studies Off Your List Pippa M. Simpson,
Robert M. Hamer,
Shelly Y. Lensing		 source 7
SUGI 1999 Customize Your Web Output Using SAS/IntrNet Software and W eb Publishing Tools Ahsan Ullah source 5
SUGI 1999 Data Exploration Made Easy George C. J. Fernandez source 7
SUGI 1999 Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SUGI 1999 Data Warehousing on a Shoestring Richard J. Nicola source 6
SUGI 1999 Delivering Geographic Information Part II: Just Click My Map Object Jeanne M. Spicer source 4
SUGI 1999 Driving to Better Credit Policies: The Risk Strategy Instrument Panel Michael L. Davis,
Adam Terr		 source 8
SUGI 1999 Easy Interface for SAS - A SAS Application on the Windows Platform Zhuan (John) Xu source 9
SUGI 1999 Exploring Enzyme-Linked Immunosorbent Assay (ELISA) Data with the SAS Analyst Application Stewart L. Fossceco,
Nathan A. Curtis		 source 9
SUGI 1999 Fitting a Multisource Regression Model with Random Slopes, A Fisheries Application of SAS PROC MIXED Robert G. Downer,
Mark C. Benfield		 source 5
SUGI 1999 From Prediction to Validation: Who Understands the Past, Controls the Future (Time Series) Edward Aronov source 4
SUGI 1999 Generating Item Responses Based on Multidimensional Item Response Theory Jeffrey D. Kromrey,
Cynthia G. Parshall,
Walter M. Chason,
Qing Yi		 source 6
SUGI 1999 Geostatistics Using SAS Software Kate Ricci source 6
SUGI 1999 How to Display Correlated ROC Curves with the SAS System Barbara G. Schneider source 5
SUGI 1999 Inferring Behavior on Rejected Credit Applicants-Three Approaches Gregg Weldon source 4
SUGI 1999 Integrating Market and Credit Risks with SAS Institute's Risk Dimensions Software Sam Harris source 8
SUGI 1999 Introduction to SAS Functions Neil H. Howard source 7
SUGI 1999 Introduction to SAS/GRAPH Philip A. Mason source 6
SUGI 1999 Making the Output Delivery System (ODS) Work for You Bill Fehlner source 5
SUGI 1999 OLE DB for OLAP: SAS Institute Leading the Way Duane E. Ressler,
Randy Pierce		 source 4
SUGI 1999 Project RAPTOR: Implementation and Exploitation of a Manufacturing Data Warehouse Anne I. Brooks,
Roger Thompson		 source 6
SUGI 1999 Robust Outlier Identification using SAS Jack N. Shoemaker source 8
SUGI 1999 SAS Integration Technologies Overview Steve Jenisch,
Chip Kelly,
Mark Gass		 source 1
SUGI 1999 SAS Software MDDBs Solve Real-World Problems for 1997 Economic Census Shirin A. Ahmed,
Kimberly D. Yarbrough		 source 6
SUGI 1999 Simulation and Estimation of Fractionally Integrated Time Series Jeffrey S. Butler source 6
SUGI 1999 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing,
Ray Pass		 source 10
SUGI 1999 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 1999 Statistical Graphics David A. Dickey source 8
SUGI 1999 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud source 7
SUGI 1999 Stepwise Regressor Selection for Interdependence Analysis and Multivariate Multiple Regression James E. Dunn,
Lynette K. Duncan		 source 6
SUGI 1999 Study Design with SAS: Estimating Power with Monte Carlo Methods Robert W. Graebner source 3
SUGI 1999 Taming the Chaos: Managing Large SAS/AF Applications Using Programming Standards and the Source Code Manager of Version 7 of the SAS System C. Michael Whitney source 8
SUGI 1999 The Effect of Missing Data on Repeated Measures Models Maribeth H. Johnson source 6
SUGI 1999 The SAS Debugging Primer Frank C. DiIorio source 5
SUGI 1999 The Time Series Forecasting System Charles B. Hallahan,
Renee Samy		 source 9
SUGI 1999 Untangling and Reformatting NT PerfMon Data to Load a UNIX SAS Database with a Software-Intelligent Data-Adaptive Application Heather M. McDowell,
LeRoy Bessler		 source 6
SUGI 1999 Use of Enterprise Miner and Multivariate Statistical Analysis to Build Fraud-Detection Models Shiao-Ping Lu source 5
SUGI 1999 Using SAS Macros to Develop Confidence Intervals for the Weibull and Extreme Value Distributions Using Type II Censored Data Scott M. Jordan,
Muhammad Zaman		 source 6
SUGI 1999 Using SAS Software to Build a Data Warehouse of Standardized Medical Costs and Patient Utilization for Health Services Research Priscilla E. Van Grevenhof,
Judith L. Wagner,
James M. Naessens,
Jill M. Killian,
Roger W. Evans,
Eva R. Helgeson		 source 2
SUGI 1999 Using SAS Software to Calculate Tests of Cliffs Delta Kristine Y. Hogarty,
Jeffrey D. Kromrey		 source 5
SUGI 1999 Using SAS Software to Report on Academic Performance via the World Wide Web Marvyn M. Lindsey source 2
SUGI 1999 Using SAS to Conduct Pilot Studies: An Instructors Guide Sean W. Mulvenon,
Ronna C. Turner		 source 6
SUGI 1999 Using the SAS System and Dynamic Data Exchange to Populate Microsoft Word Documents with Text, Tables, and Graphs Michael C. Harris source 5
MWSUG 1998 A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis Ralph G. O'Brien 11
MWSUG 1998 Building a GUI to a Sample Size Program using FRAME Brian Mitchell 3
MWSUG 1998 Custom Reports - Examples For a Table of Contents and Index Deb Cassidy 8
MWSUG 1998 Faster Data Extraction with Your Own Clustered Index Zhuan (John) Xu 5
MWSUG 1998 Harnessing the Power of SCL Lists Lisa Ann Horwitz 9
MWSUG 1998 Producing ROC Curves For Discriminant Analysis Using PROC LOGISTIC Keith Dunnigan 7
MWSUG 1998 SAS/CONNECT - Trials and Triumphs of Migrating from Batch to Interactive Processingin an IBM Mainframe Environment Joseph M. Braun,
Michael S. Hines,
Shawn L. Williams		 7
SCSUG 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski 20
SCSUG 1998 Creating SAS Reports from Data Collected Via the Internet Using Microsoft FrontPage 98 Hosted on a PC Running the Microsoft Personal Web Server David Workman,
Richard F. Pless		 10
SCSUG 1998 Functions in SAS Destiny Corporation (a company) 3
SCSUG 1998 JMP Reveals the Truth: Statistics Can Be Fun! William R. Gjertsen 10
SCSUG 1998 SAS Programming Tips: Using SAS to Automate Third-Party Software Mark MacMullen 7
WUSS 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski source 20
WUSS 1998 Analysis of the American National Election Survey for 1996 using SAS Multivariate Statistical Techniques with Emphasis on Chi-Square Kamal Shoukry source 4
WUSS 1998 Constants for Two-Sided Normal Tolerance Intervals William N. Anderson source 6
WUSS 1998 Deriving Counts from Transaction Data: Hints for Getting What You Want and Understanding What You Get Mark F. Meierding source 5
WUSS 1998 Investigating the Performance of Model Selection Information Criteria Using SAS/IML and SAS/MACRO Long Ngo source 6
WUSS 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts		 source 11
WUSS 1998 Quick Results from Statistical Analysis - An Alternative Approach to the Popular Menu Interface Systems George C. J. Fernandez source 8
WUSS 1998 The Central Limit Theorem Home Page Stuart E. Wugalter,
Jeannie Lum,
Colin Campbell		 source 5
WUSS 1998 Using Excel: A Dynamic Approach to Report Writing Matthew L. Greathouse,
Karl Jensen		 source 5
WUSS 1998 Using Macros to Maintain Program Flexibility and Integrity When Accessing Very Large Datafiles Ed Jensen source 8
WUSS 1998 Using SAS to Implement Jackknife and Bootstrap Methods for Survey Data Tony Ye,
Ruby Lin		 source 4
WUSS 1998 Using the SAS System and Dynamic Data Exchange to Populate Microsoft Word Document with Text, Tables, and Graphs Mike Harris source 6
WUSS 1998 Which Path with PROC CALIS? Diana D. Suhr source 7
NESUG 1998 %SYSFUNC (Bridge to External Data); Michael Yu 8
NESUG 1998 &&&, ;;, and Other Hieroglyphics - Advanced Macro Topics Christopher Yindra 9
NESUG 1998 A Simulation Study of Estimators In Stratified Proportional Hazard Models Hsi-Wen Liao 8
NESUG 1998 A Tutorial on the SAS Macro Language John J. Cohen 6
NESUG 1998 Acceptance Testing of a Large Distributed Information System Using Statistical Resampling Donald T. Gantz 10
NESUG 1998 Calculating Marginal Probabilities in PROC PROBIT Guy Pascale 5
NESUG 1998 Creative Uses of Functions Steven A. Wright 5
NESUG 1998 Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing C. Olivia Parr Rud 8
NESUG 1998 Delivering Geographic Information: Just Click My Map Object Jeanne M. Spicer 4
NESUG 1998 Driving to Better Credit Policies: The Risk Strategy Instrument Panel Adam Terr 8
NESUG 1998 Extracting SAS Data Sets from a Multi-Dimensional Database in Batch Michael Bretz 5
NESUG 1998 Fasclus Procedure To Identify Subtypes Within A Study Population Following Treatment With A New Antidepressant Drug Lev Sverdlov 5
NESUG 1998 Geostatistics Using the SAS System A. Katherine Ricci 5
NESUG 1998 Harnessing the Power of SCL Lists Lisa Ann Horwitz 9
NESUG 1998 Indexed Table Lookup vs Multiple Data Sets Douglas L. McAllaster 4
NESUG 1998 Information Theory Makes Logistic Regression Special Ernest S. Shtatland 4
NESUG 1998 Internet Based Data Collection for Analysis with SAS Robert S. Workman 3
NESUG 1998 JMP Reveals the Truth: Statistics Can Be Fun! William R. Gjertsen 12
NESUG 1998 Millenia: Checking SAS Applications for Century Date Compliance Bruce F. Gilsen 8
NESUG 1998 Multivariate Discrimination of Categorical Data Using the SAS System Jeffrey S. Butler 8
NESUG 1998 So Now You're Using PROC REPORT. Is it Pretty and Automated? Daphne E. Ewing 10
NESUG 1998 So You're Still Not Using PROC REPORT. Why Not? Ray Pass 10
NESUG 1998 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud 8
NESUG 1998 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 10
NESUG 1998 Using SAS/IML to Calculate L-Moments for the Univariate Distribution Shape Parameters Skewness and Kurtosis Michael A. Walega 8
SESUG 1998 A SAS Macro Program to Perform Permutation Testing for Group*Time Interaction in an Unbalanced Repeated-Measures Analysis of Variance Mark S. Litaker,
Bernard Gutin		 5
SESUG 1998 A Simplified Reporting Strategy: "Summary" Data Sets for Reporting on Data from Multiple Source Data Sets Steve Ross 6
SESUG 1998 ADJiANCED TlITORIALS Hot-Deck Imputation: A Simple DATA Step Approach Lawrence W. Altmayer 6
SESUG 1998 An Applicatio.n of Cluster Analysis in the Financial Services Industry Satrsh Nargundkar,
Strategic Decision		 6
SESUG 1998 An Overview of Techniques to Introduce External Data Into the SAS System Andrew T. Kuligowski 20
SESUG 1998 Applications Development Eric C. Brinsfield 4
SESUG 1998 Beyond Factor Analysis: Can the Results Be Validated? Rachel J. Goldberg 6
SESUG 1998 Computing a Test Statistic for Scale Parameters Based on a Jackknife Procedure Jean G. Orelien 6
SESUG 1998 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud 7
SESUG 1998 Generating Item Responses Based on Multidimensional Item Respose Theory Jeffrey D. Kromrey,
Cynthia G. Parshall,
Walter M. Chason,
Qing Yi		 6
SESUG 1998 Harnessing the Power of SCL Lists Lisa Ann Horwitz 9
SESUG 1998 Regression with Time Series Errors David A. Dickey 9
SESUG 1998 See Sally Work: Techniques for Designing and Evaluating User Interfaces Judy Loren 8
SESUG 1998 SERENDIPITY Indexed Table Look-up Against Multiple Data Sets Douglas L. McAllaster 4
SESUG 1998 Software for GEE: PROC GENMOD and SUDAAN Babubhai V. Shah 5
SESUG 1998 Survey Research Using SAS: Tricks of the Trade Archer R. Gravely,
UNC Asheville		 10
SESUG 1998 The Effect of Missing Data on Repeated Measures Models Maribeth H. Johnson 5
SESUG 1998 The Replication Method for Estimating Sampling Errors, Principles, and Software David Morganstein,
J. Michael Brick		 5
SESUG 1998 Using SAS to Calculate Tests of Cliff's Delta Kristine Y. Hogarty,
Jeffrey D. Kromrey		 5
PNWSUG 1998 Decision Tree Classification in Direct Marketing Robert Mengis 9
PNWSUG 1998 Distance between Two Geographic Locations William Kreuter 1
PNWSUG 1998 Measuring Advertising Impacts on Conservation Behavior: A Business Application of the Theory of Planned Behavior Ken Seiden,
Jane S. Peters,
Doug O'Brien		 8
PNWSUG 1998 Stepwise Anything: Reading in Regression Procedure Output for Further Testing Ted Clay,
Linda Remy		 10
PNWSUG 1998 Using Macros to Maintain Program Flexibility and Integrity When Accessing Very Large Datafiles Edward Jensen 8
PNWSUG 1998 Using PROC EXPAND with Time Series Data Andrew H. Karp 4
SEUGI 1998 A management indicator based on Statistical Process Control data: the average percentage of non conformity items K. Hadadj,
Thierry Cembrzynski		 source 19
SEUGI 1998 Bioequivalence standardized Julian Singer source 6
SEUGI 1998 Campaign management and customer profiling: How to close the customer circle [presentation] Amat Barrasa source 15
SEUGI 1998 Complementary use of log-linear modelling and correspondence analysis in SAS software Jon Paul Laka,
Izaskun Astondoa		 source 18
SEUGI 1998 Database marketing applications in the Italian banking sector Alberto Saccardi,
Guido Cuzzocrea		 source 8
SEUGI 1998 Defining groups of "typical investors": hierachical clustering for qualitative data Raffaela Piccarretta source 7
SEUGI 1998 Displaying and comparing correlated ROC curves with the SAS software Barbara G. Schneider source 8
SEUGI 1998 Enterprise computing with Windows NT and Intel [presentation] Mark Friedman source 46
SEUGI 1998 European Commission RICA-2 Project Marc Dehan,
Thierry Vard		 source 13
SEUGI 1998 Rapid business benefit for customer relationship management through data warehousing and data mining Nigel Wigram source 12
SEUGI 1998 Taking an HTML Snapshot of a Data Warehouse: Just Say, Cheese! Erik Simms,
Jerry Kagan		 source 6
SEUGI 1998 Unpleasant data? A chance of powerful multi-variant analysis in clinical trials with data not meeting the conditions Thomas Bregenzer source 13
SEUGI 1998 Use of the SAS VARCOMP Procedure to estimate analytical repeatability Anna Carroli source 5
PharmaSUG 1998 A Laboratory Approach to JMP Annie L. Dudley 7
PharmaSUG 1998 A SAS/Frames Application to Estimate Sample Size and Power for Clinical Trials Brian Mitchell 4
PharmaSUG 1998 Introduction to Arrays Bob Virgile 6
PharmaSUG 1998 Managing SAS/PH-Clinical in a Multiple Instance Environment Steven Light,
Paul M. Gilbert		 3
PharmaSUG 1998 Printing a Random Sample of a Large Data Sets Hany Aboutaleb 4
PharmaSUG 1998 Programmers Can Check Data Too Diana L. Williams 4
PharmaSUG 1998 SAS Techniques for Developing an Intranet Drug Safety Review System Dennis X. Tang,
Mickey Cheng		 10
PharmaSUG 1998 The Causes, Impact and Detection of Duplicate Observations Alice M. Cheng 11
PharmaSUG 1998 The Right Approach to Learning PROC TABULATE Bob Virgile 8
PharmaSUG 1998 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 14
PharmaSUG 1998 Use of Pilot Trials as Screening Procedure in Generic Drug Product Development: Statistical Power and Influential Factors Yibin Wang 5
SUGI 1998 A Data Access Challenge: Build a SAS Frame Application for Access to an Informix Data Warehouse John E. Bentley source 7
SUGI 1998 A Dynamic Web Application: Using SAS/IntrNet and Webb Publishing Software Vecdet Mehmet-Ali source 10
SUGI 1998 A GUI for Enhanced Insight into Data in a University Setting: SAS/EIS and SAS/AF Frame to the Rescue Cecil R. Hallum,
Melinda Miller		 source 6
SUGI 1998 A SAS Macro Implementing an Extension of McNemar's Test for Clustered Data Michael L. Lieber,
Cindy Ashley		 source 6
SUGI 1998 A SAS Macro to Calculate Exact Confidence Intervals for the Difference of Two Proportions Paul R. Coe source 6
SUGI 1998 A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis Ralph G. O'Brien source 10
SUGI 1998 An Information-Gain Measure of Fit in PROC LOGISTIC Ernest S. Shtatland,
Mary B. Barton		 source 6
SUGI 1998 An Investigation of the Efficiency of SQL DML Operations Performed on an ORACLE DBMS using SAS/ACCESS Software Annie S. Guo source 5
SUGI 1998 Application of Maximum Contrast Method to Biomedical Data Using MU L TTEST Chikuma Hamada,
Junji Kishimoto		 source 6
SUGI 1998 Are You a Commander or a Mouser? Heidi Markovitz source 4
SUGI 1998 Becoming a SAS Master Ginger Carey,
Helen D. Carey		 source 8
SUGI 1998 Behind Marketing Data in Financial Industry Flavio Addolorato,
Luigi Ferrari,
Luigi Guastalla,
Luca Bodio		 source 11
SUGI 1998 Bootstrapping the Standard Error of the Mediated Effect Chondra M. Lockwood,
David P. MacKinnon		 source 6
SUGI 1998 Convex Hull Test for Ordinal Categorical Data Using the SAS System Dayong Li,
Huanhong Xia		 source 6
SUGI 1998 Delivering Geographic Information: For Those Who Can't Read a GMAP and Won't Stop to Ask for Directions Jeanne M. Spicer source 6
SUGI 1998 Efficient Cross Database Data Transaction Processing Between SAS Software and Oracle using SAS Annie S. Guo source 6
SUGI 1998 Enhancements to SAS/ Warehouse Administrator Terry L. Lewis source 8
SUGI 1998 Establishing Production and Development Environments for Base SAS Software Development Craig K. Ray source 7
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown		 source 24
SUGI 1998 Further Discussion of Summarizing Impossibly Large SAS Data Sets Sheng Luo,
Xinsheng Lin		 source 5
SUGI 1998 Graphical Presentation of a Nonparametric Regression with Bootstrapped Confidence Intervals Mark Nicolich,
Gail Jorgensen		 source 5
SUGI 1998 Harnessing the Power of SCL Lists Lisa Ann Horwitz source 8
SUGI 1998 How Not to Hate Annotate Susan J. Kenny source 7
SUGI 1998 How to Use SAS Software to Evaluate Screening Tests Using Predictive Values in Conjunction with ROC Curves Richard Severino source 6
SUGI 1998 Improving the Rainbow Test: A Macro to Measure the Lack of Fit in Multiple Regression with the Use of the Bootstrap Paul W. Johnson source 4
SUGI 1998 Multivariable Cox Proportional Hazard Model by SAS PHREG &Validation by Bootstrapping Using SAS Randomizers With Applications Involving Electrocardiology and Organ T ransplants Sudhanshu K. Ghoshal source 6
SUGI 1998 Multivariate Analysis Using the MIXED Procedure S. Paul Wright source 5
SUGI 1998 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts		 source 11
SUGI 1998 PROC FACTOROR: A Tool for Extracting Hidden Gems from a Mountain of variables Jose A. Santos,
Lawrence Lippke,
Paul E. Pope		 source 8
SUGI 1998 PROC TABULATE: A Tool for Evaluating Performance Lisa P. Wayte source 6
SUGI 1998 Programming and Other Features of the JMP Calculator Daniel J. Obermiller source 8
SUGI 1998 Robust Standard Error Estimate for Cluster Sampling Data: A SAS/IML Macro Procedure for Logistic Regression with Huberization Honghu Liu source 6
SUGI 1998 SAS/AF FRAME Entries: A Hands-on Introduction Vincent L. Timbers source 7
SUGI 1998 SAS/IntrNet Software: A Road Map Donald J. Henderson source 10
SUGI 1998 Skaff and Jeff A. Sloan Design and Analysis of Equivalence Clinical T rials V ia the SAS System Pamela J. Atherton source 7
SUGI 1998 So Now You're Using PROC REPORT . Is It Pretty? Daphne E. Ewing,
Ray Pass		 source 10
SUGI 1998 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 1998 Statistical Development Using SAS/TOOLKIT Software Scott D. Grimshaw,
Gilbert W. Fellingham		 source 4
SUGI 1998 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud source 7
SUGI 1998 Statistical Process Monitoring of Correlated Binary and Count Data Using Mixture Distributions Jose G. Ramirez,
Brenda S. Cantell,
Randall S. Collica		 source 7
SUGI 1998 Strategic Use of the SAS System in Banking Laurie Rose source 5
SUGI 1998 The Effect of Missing Data on Sample Sizes for Repeated Measures Models Maribeth H. Johnson,
Peter P. Davis		 source 5
SUGI 1998 The Tabulate Procedure: One Step Beyond the Final Chapter Stephen M. Noga,
Jeffrey M. Abolafia		 source 6
SUGI 1998 Using a SAS Macro to Create Unique Statistical Output Sean W. Mulvenon,
M. Austin		 source 6
SUGI 1998 Using Hyperlink to Organize SAS HTML Output Connie X. Li,
James Sun		 source 5
SUGI 1998 Using SAS as an Automation Server in Windows Application Development Zhuan (John) Xu source 6
SUGI 1998 Using SAS for Statistical Modeling: Monte Carlo Simulations Sean W. Mulvenon,
M. Austin		 source 6
SCSUG 1997 An Application of Cycle Regression Analysis Algorithm to Predict Electric Utility Demand Mayur R. Mehta,
Walter E. Johnston		 7
SCSUG 1997 Contruction of Inptu for Environmental Simulation Models Using Multivariate Analysis Joaquin Sanabria,
Don Goss		 18
SCSUG 1997 Hodges-Lehmann Confidence Intervals for a Shift in Location Using SAS Procedure SQL Ann Olmstead 6
SCSUG 1997 Reliability Data Analysis in the SAS System Gordon Johnston 10
SCSUG 1997 SAS Programming Tips for Finding Variables in the DATA Step: A Tutorial Mark MacMullen 9
SCSUG 1997 SAS-a-Sketch: Using SAS Annotate Facility for Creating Custom Graphs Patrick M. McGown 6
SCSUG 1997 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
SCSUG 1997 User Publishing with SAS Institue: A Valuable Exchange Hanna Schoenrock 4
PNWSUG 1997 PROC REPORT, A Guided Tour Martin Haase 7
PNWSUG 1997 Real-World Database Marketing Experiences Using SAS Software Robin E. Way 10
PNWSUG 1997 SAS/GRAPH Over the Web: A Reliable Method Using PDF [presentation] Adam Hendricks 6
PNWSUG 1997 Using SAS to Determine the Revenue Impacts from Emerging Products Mark E. Thompson 8
WUSS 1997 A Microcomputer Program (SF-36.EXE) that Generates SAS Code for Scoring the SF-36 Health Survey Ron Hayes,
Cathy D. Sherbourne,
Karen L. Spritzer,
Wil J. Dixon		 source 5
WUSS 1997 Analysis of Time Series Data - An Application in Health Care Sujaya Parthasarathy source 6
WUSS 1997 Becoming a SAS Master Ginger Carey,
Helen D. Carey		 source 8
WUSS 1997 Developing a PC SAS World Wide Web Database System Faith Reneé Sloan source 6
WUSS 1997 How to Use the SAS Software to Evaluate Screening Tests Using Predictive Values in Conjunction with ROC Curves Richard Severino source 7
WUSS 1997 Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 10
WUSS 1997 Population Adjusted Kaplan-Meier Curves Jimmy Thomas Efrid source 6
WUSS 1997 Reliability Data Analysis in the SAS System Donna O. Fulenwider,
Gordon Johnson		 source 10
WUSS 1997 SAS/SPECTRAVIEW Software and Data Mining: A Case Study Stuart Nisbet,
Ronald E. Stogner,
Aaron Hill		 source 5
WUSS 1997 SAS/Warehouse Adminstrator Usage and Enhancements Tony Fisher,
Terry L. Lewis		 source 9
WUSS 1997 Submitting Batch SAS Jobs under Windows 3.1 and Windows 95 Jodie M. Gilmore source 4
WUSS 1997 Testing Homogeneity of Variance Shuqiang Zhang source 4
WUSS 1997 The SAS/IntrNet Dispatcher Donald J. Henderson source 9
NESUG 1997 A New Adaptive Model for Prediction With the Time Series Edward Aronov 9
NESUG 1997 A Non-Memory Intensive Alternative to PROC MEANS and PROC SUMMARY Jack Yang 4
NESUG 1997 Application of SAS/ACCESS Software & DCL to Simplify Management and Analysis of Clinical Data For In Vitro Diagnostic Medical Devices Denise Cervelli 6
NESUG 1997 Bootstrapped Confidence Intervals for Parametric Estimates of Survival Distribution Function Vadim Pliner 8
NESUG 1997 Clustering for Market Segmentation Frederick E. Pratter 10
NESUG 1997 Creating Complex Graphics for Survival Analyses with the SAS System Steven E. Elkin 7
NESUG 1997 Delivering Geographic Information: For Those Who Can't Read a GMAP and Won't Stop to Ask for Directions Jeanne M. Spicer 5
NESUG 1997 Drill Down Till You Drop: OLAP Without Windows Ralph Winters 10
NESUG 1997 Estimation of Sample Selection Models with SAS/IML Software Charles B. Hallahan 9
NESUG 1997 From 50,000,000 Claims to One Analytical File Louise S. Hadden,
Mike Murphy,
Alan J. White		 6
NESUG 1997 Hot-Deck Imputation: A Simple DATA Step Approach Lawrence W. Altmayer 6
NESUG 1997 Information as a Unifying Measure of Fit in SAS Statistical Modeling Procedures Ernest S. Shtatland 7
NESUG 1997 Mining Your Data for Health Care Quality Improvement Greg Rogers 7
NESUG 1997 Providing Users with Access to the SAS Data Warehouse: A Discussion of Three Methods Employed and Supported Cynthia A. Stetz 6
NESUG 1997 Sample SAS Program for Reporting (from Multiple Records) Hla Win 2
NESUG 1997 Saving Trees and Time - A SAS Macro for Testing and Reporting the Association Between Multiple Candidate Variables and a Single Binary Variable Christianna S. Williams 9
NESUG 1997 The Power of the SAS Date Functions: Creating a Utilization History for Residents of Nursing Homes Sandra T. Rothwell 7
NESUG 1997 Time Series Magic: Smoothing, Interpolating, Expanding and Collapsing Time Series Data With PROC EXPAND Andrew H. Karp 5
NESUG 1997 Using Base SAS and SAS/GRAPH Software to Predict and Geographically Display Regional Estimates of Persons without Health Insurance Matthew Reilly 8
NESUG 1997 Using HTML Format to Add Depth of Information Presented by SAS Output James Sun 5
NESUG 1997 Using Logistic Regression to Test for Interaction in the Presence of Zero Cells Lisa Suchower 10
NESUG 1997 Using PERL To Prepare Data Collected from the Internet for SAS Input Robert S. Workman 6
MWSUG 1997 A simple macro to identify samples for reanalysis Robert H. Gallavan,
James M. McKim		 3
MWSUG 1997 An Introduction to Survival Analysis Linda M. Quinn 12
MWSUG 1997 Graphing: Taking the Mystery Out of Subscripts and Superscripts (The Why Not's and How To's Are Presented) Lori D. Griffin 7
MWSUG 1997 Handling the Year 2000 and Other Timely Issues David E. Beam,
Rosalind Gusinow		 8
MWSUG 1997 Macro Facility Enhancements for Release 6.09E and Release 6.11 Jeffrey A. Polzin,
Susan M. O'Connor		 11
MWSUG 1997 Measuring Regressor Information Content In the Presence of Collinearity Joseph Retzer,
Kurt Pflughoeft		 7
MWSUG 1997 Reliability Data Analysis in the SAS System Gordon Johnston 10
MWSUG 1997 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
MWSUG 1997 Using SAS for a Bootstrap Analysis of Repeated Measures Ectoparasiticide Data Domon Disch 5
MWSUG 1997 Using SAS for Variance Estimation with Complex Sample Surveys Patricia A. Berglund 9
SESUG 1997 A Step-By-Step Illustration of Building a Data Analysis Tool with Macros Diana Zhang Wobus 7
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
SESUG 1997 Code or DATA? H. Ian Whitlock 10
SESUG 1997 Developing International Electronic Data Exchange From Negotiations To Code William S. Calvert 8
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
SESUG 1997 Modeling Higher Education Processes with Multiple Logistic Regression: SAS Examples Daniel Teodorescu 5
SESUG 1997 PROC FACTOR: How to Interpret the Output of a Real-World Example Rachel J. Goldberg 8
SESUG 1997 SAS/SPECTRAVIEW Software and Data Mining: A Case Study Ronald E. Stogner 5
SESUG 1997 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
SESUG 1997 SQL: A Sequel to the Data Step Heidi Markovitz 6
SESUG 1997 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud 8
SESUG 1997 Stratified Weighting of Sample Data for Descriptive Purposes David L. Alderton 4
SESUG 1997 The Case of the Missing Data Maribeth H. Johnson,
Mark S. Litaker		 6
SESUG 1997 The Right Approach to Learning PROC TABULATE Bob Virgile 7
SESUG 1997 The SAS/IntrNet Application Dispatcher Donald J. Henderson 9
SESUG 1997 The Tabulate Procedure: One Step Beyond the Final Chapter Jeffrey M. Abolafia,
Stephen M. Noga		 8
SESUG 1997 The Use of SAS to Construct Horvitz-Thompson Type Estimators for Safety Belt Compliance Holmes Finch 6
SESUG 1997 Using the WHERE Statement Bob Virgile 5
SEUGI 1997 %SUPLANA - a powerful SAS macro routine for survival analysis Angelo Tinazzi,
Valter Torri		 source 6
SEUGI 1997 A bank warehouse including a "customer mirror": getting information about customer and product profitability Jaroslaw Remesz source 19
SEUGI 1997 A flexible menu-driven distributed database for micro data: from mainframe-via PC-to World Wide Web Anders Kraftling,
Jan-Erik Tomth,
Lars Johnsson		 source 8
SEUGI 1997 An application and visualization tool for the exploratory analysis of lifetime data Hans-Peter Altenburg,
Thomas Floren		 source 6
SEUGI 1997 Behavioural analysis of retail customers at Banca Commerciale Italiana Flavio Addolorato,
Luca Bodio		 source 10
SEUGI 1997 Comparison between different methods to estimate orders in ARIMA models Dominique LADIRAY,
Michel Grun-Rehomme		 source 11
SEUGI 1997 Construction of a consumer confidence index with the X11 Procedure from SAS/ETS Hans Bay source 4
SEUGI 1997 Data Mining and SAS/SPECTRAVIEW software: a case study Annie Postic,
Bengt Bengtsson		 source 36
SEUGI 1997 Data mining in the banking and insurance industry Juan- Ramón Amat- Barras source 18
SEUGI 1997 Displaying non-visual objects using the model-view architecture Michel Lehon source 10
SEUGI 1997 Experiences with the management of score data using SAS software Detlef Elxnat source 13
SEUGI 1997 Gibbs sampling: simple examples M. Ibañez,
M. Talbot,
Ramón Alonso		 source 5
SEUGI 1997 Investigating likelihoods for lifetime distribution using SAS software Alan John Watkins source 6
SEUGI 1997 Modelling of road deterioration including lifetime distribution and the Cox model Emmanuel Courilleau source 11
SEUGI 1997 SASSEE - A Software Engineering Environment for SAS Application Development Martin Studemund,
Rainer Uhl,
Robert N. Lemke-Noe,
Wolf-Dieter Batz		 source 22
SEUGI 1997 SPDS - The Scalable Performance Data Server Thomas Becker source 49
SEUGI 1997 The correction of wrong results obtained with the "Agree"option in PROC FREQ for contingency tables with empty rows and columns Richard Vonk,
Werner Wierich		 source 8
SEUGI 1997 The Use of the Data Table to Develop New Variables for Customer Selection Martin Beasley,
Richard Cannon		 source 13
SEUGI 1997 Using lifestyle data to improve customer segmentation Huw Davis source 13
SEUGI 1997 Using SAS software to forecast the results of the Russian parliamentary and presidential elections Igor Romanov source 27
PharmaSUG 1997 Adverse Events Summary Tables in Clinical Trials: Incorporating P-values Using SAS Macros and SAS/AF Incorporating P-values 10
PharmaSUG 1997 Controlling for Experimentwise Type II Error: Optimum Patient Allocation for a Three Armed, Parallel, Randomized, Controlled Clinical Trial with Binary Outcomes Benjamin Duncan 13
PharmaSUG 1997 Developing a Suite of Clinical Report Macros for SAS/PH-Clinical Paul M. Gilbert,
Steven Light		 9
PharmaSUG 1997 How Do I Take the Mean of an Apple and an Orange? Techniques for Integrating Data from Multiple Studies Linda Collins 8
PharmaSUG 1997 How to Use CD-ROM as a Simplified CANDA Steven Wong 4
PharmaSUG 1997 Integration of Oracle Clinical databases with SAS/PH-Clinical Daniel Gronell 10
PharmaSUG 1997 Obtaining Group Sequential Test Boundaries with SAS William J. Stager,
Hoechst Marion Roussel,
Jessie J. Yun,
Hoechst Marion Roussel		 4
PharmaSUG 1997 PROC TRANSPOSE as a Useful Intermediary Step in Generating Tables and Listings Tony T. Salehi 11
SUGI 1997 &&&, ;;, and Other Hieroglyphics - Advanced Macro Topics Christopher Yindra source 9
SUGI 1997 A Microcomputer Program (SF-36.EXE) that Generates SAS Code for Scoring the SF-36 Health Survey Ron D. Hays,
Cathy D. Sherbourne,
Karen L. Spritzer,
Wil J. Dixon		 source 5
SUGI 1997 A SAS Macro for Calculating Bootstrapped Confidence Intervals About a Kappa Coefficient Robert A. Vierkant source 5
SUGI 1997 All the Data That Fits, We Print Janet E. Stuelpner,
Elizabeth Kaptsanov		 source 3
SUGI 1997 An Introduction to Developing Applications with SAS/AF Software FRAME Entries Vincent L. Timbers source 7
SUGI 1997 Application Development Templates in SAS/AF Carl R. Haske source 6
SUGI 1997 Automated Testing of SAS System GUI Applications Brad Chisholm source 5
SUGI 1997 Automatic Generation of SAS/ACCESS Views from Oracle Tables Xinsheng Lin,
Sheng Luo		 source 6
SUGI 1997 Characterization of Variance in Medical Diagnostics: The Analysis of "Usual" Data John A. Wass source 5
SUGI 1997 Constructing ROC Curves with the SAS System Andrew G. Stead,
Karen G. MacDonald		 source 4
SUGI 1997 Creating a Home Page on the WWW for Your Local User Group An Unlimited Resource for Local User Group Recruitment Strategies JoAnn R. Matthews source 7
SUGI 1997 Creating Complex Graphics for Survival Analyses with the SAS System Steven E. Elkin,
William Mietlowski,
Kevin McCague,
Andrea Kay		 source 6
SUGI 1997 Data Mining for Hidden Groups in Hospital Populations Anthony M. Dymond source 6
SUGI 1997 Demonstrating Systematic Sampling Julie Wildman-Pepe source 6
SUGI 1997 Exporting SAS Output onto the World Wide Web Shi-Tao Yeh,
Andrew C. Yeh		 source 5
SUGI 1997 Handling the Year 2000 and Other Timely Issues David E. Beam source 8
SUGI 1997 How Are All of These Tables Related? - Relational Database Map-RDB-MAP.SAS Eric R. Losby source 5
SUGI 1997 How Many Good Fishes Are There in Our Net? Neural Networks as a Data Analysis Tool in CDE-Mondadori's Data Warehouse Guido Cuzzocrea,
Alberto Saccardi,
Giovanni Lux,
Emilia Porta,
Arianna Benatti		 source 6
SUGI 1997 How to Use CD-ROM as a Simplified CANDA Steven Wong source 4
SUGI 1997 Implementing Balanced Replicated Subsampling Designs in SAS Software Roland K. Hawkes source 6
SUGI 1997 Interactive Sampling Using SAS/AF Frames Keith Cranford,
Don Boudreaux		 source 5
SUGI 1997 Introduction to Building a Linear Regression Model Leslie A. Christensen source 7
SUGI 1997 JMP Reveals the Truth: Statistics Can Be Fun! William R. Gjertsen source 11
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
SUGI 1997 LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 6
SUGI 1997 Macro and Sample Source Code to Wrap Character Variable Text Conditionally on Two Lines Within Data Null-generated Report Column(s) Robert Andresen source 3
SUGI 1997 Mining Your Data for Health Care Quality Improvement Greg Rogers,
Ellen Joyner		 source 7
SUGI 1997 Net Impact Analysis for Program Evaluation, Modeling and SAS Programming Boqing Wang source 6
SUGI 1997 PROC FACTOR: How to Interpret the Output of a Real-World Example Rachel J. Goldberg source 5
SUGI 1997 PROC REPORT: An Introduction to the Batch Language Ray Pass source 10
SUGI 1997 Putting Yourself on the Map with the GMAP Procedure Michael L. Davis source 10
SUGI 1997 SAS/GRAPH Blues? SAS/FRAME to the Rescue! Kathy Shelley source 6
SUGI 1997 SAS/SPECTRAVIEW Software and Data Mining: A Case Study Ronald E. Stogner,
Aaron Hill		 source 5
SUGI 1997 The Parameters: A Statistical Methodology to Determine the Profit of Business Activities Ursula Herr,
Giovambattista Giangrieco,
Fabio Zaccaria,
Danilo Ballanti		 source 3
SUGI 1997 The Power of the SAS Date Functions: Creating a Utilization History for Residents of Nursing Homes Sandra T. Rothwell,
Mary Ann Bush,
Ilene Gottfried,
Dawn Scott		 source 7
SUGI 1997 The Tobit Model: An Example of Maximum Likelihood Estimation with SAS/IML Charles B. Hallahan source 6
SUGI 1997 UnifyPow: A SAS Macro for Sample-Size Analysis Ralph G. O'Brien source 6
SUGI 1997 Using Higher Order Asymptotics to Improve P-values and Confidence Intervals Given by PROC MIXED Ben Lyons,
Dawn Peters		 source 5
SUGI 1997 Using Linear Regression and the Gibbs Sampler to Estimate the Probability of a Part Being Within Specification Brenda Cantell source 6
SUGI 1997 Using Macros to Annotate Graphs Based on Changing Data Barry Frye,
John Nelson		 source 5
SUGI 1997 Using SAS Bitwise Functions to Scramble Data Fields with Key Sheng Luo,
Xinsheng Lin		 source 5
SUGI 1997 Using SAS Software to Compute Variances for Poisson Samples Terry L. Pennington source 6
SUGI 1997 Using Survey Data: Tips to Pick Up Speed on the Road to Analysis Cynthia L. Williamson,
Suzanne D. Kreutzer		 source 6
SUGI 1997 Utilizing Clinical SAS Report Templates Sunil Kumar Gupta source 5
SUGI 1997 Visual Hypothesis Testing with Confidence Intervals Robert W. Smith source
SCSUG 1996 Fishing for Exactness Ted Pedersen 13
SCSUG 1996 Sampling Techniques Using SAS Software Keith Cranford,
Don Boudreaux		 10
SCSUG 1996 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
SCSUG 1996 Using the SAS System to Produce HTML-Based Text Richard D. Langston 4
SESUG 1996 A SAS Program to Calculate and Plot Widths of (1-α)100% Confidence Intervals for Binomial Proportions Maribeth H. Johnson,
Mark S. Litaker		 2
SESUG 1996 AutomaticaUy Documenting a SAS Data Set: Creating a Codebook with DOCSPGM Steve James 7
SESUG 1996 Discriminant Analysis via Statistical Packages Carl J Huberty,
Laureen L. Lowman		 11
SESUG 1996 Generalized Linear Models (Logistic Regression), a Comparison of Available Options and Output from the Catmod, Probit, Logistic, and Genmod Procedures Margaret A. Connolly 6
SESUG 1996 PRoe GMAP: How I Learned to Tolerate (And Almost Love) Annotating Keith J. Brown 9
SESUG 1996 Providing Data Analysis Support at a Major Research University using the SAS System Joy Munk Smith 6
SESUG 1996 Quasicomplete Separation in Logistic Regression: A Medical Example Madeline J. Boyle 6
SESUG 1996 SAStistics 101 Robert E. Johnson 8
SESUG 1996 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
SESUG 1996 Simulation of Data for Monte Carlo Studies of Prevalence Estimation in Two-Phase Cross-Sectional Epidemiologic Studies Mark S. Litaker 4
SESUG 1996 Software Validation and Testing Andrew T. Kuligowski 9
SESUG 1996 TEN GOOD REASONS TO lEARN SAS SQl Sigurd W. Hermansen 5
SESUG 1996 Using SAS To Load a Data Warehouse, Write HTML, and Send Analyses to the World-Wide Web - All in Real Time Jay Jacob Wind 10
SESUG 1996 VMS Environment and SAS Language Applications: Getting the Best of Both Worlds M. Rita Thissen 11
SESUG 1996 You Want Me to Move How Many Thousand Files from MVS to UNIX? Kenneth A. Hardy,
Arturo Barrios,
Sally M. Muller		 11
NESUG 1996 A Two-Stage Cluster Systematic Sampling Program for Clinical Quality of Care Studies Wenbin Mo,
Michael Fleming		 3
NESUG 1996 An Introduction to Developing Applications with SAS/AF FRAME Entries Vincent L. Timbers 9
NESUG 1996 Between a ROC Curve and a Hard Place Joseph Kufera,
Kimberly A. Mitchell		 10
NESUG 1996 BIOEQ4: Bioequivalence Macro to Create both Table and SAS data set according to the FDA Bioequivalence Guidelines Issued in 1992 Mary Kay McPherson 6
NESUG 1996 Box and Whisker Plots: Definitions and Interpretations Adeline J. Wilcox 9
NESUG 1996 Building a Generalized Extract System Using SAS/AF and SCL Hung X. Phan 9
NESUG 1996 Conversion of Report Programs to SAS/PH Clinical Templates Paul M. Gilbert,
Steven Light,
Andy Siegel,
Jack Jacobsen		 9
NESUG 1996 Evaluating Ridership On The Municipal Transit System William J. Montelpare,
J. Frost,
D. Scott,
S. Burgess		 6
NESUG 1996 Inducing a Break in a Curve in a SAS/GRAPH Plot Earl R. Westerlund 2
NESUG 1996 Introduction to SAS/GRAPH John J. Cohen 8
NESUG 1996 Macros Developed for Statistical Summary and Tabulation of Clinical Data William Sun,
David Lago,
David Handelsman,
Jack Shostak		 10
NESUG 1996 PC Based Direct Marketing Regression Model Production System Rich Masi 3
NESUG 1996 Porting a SAS/AF Application from PC to a MAC Sharilyn Fabian-Ross,
James R. Carter		 10
NESUG 1996 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
NESUG 1996 Putting Yourself on the Map with the GMAP Procedure Michael L. Davis 10
NESUG 1996 Quality Assurance and The SAS System Thalene T. Mallus 10
NESUG 1996 Quick & Easy SAS/AF Applications Using SAS/ASSIST Software, SAS Data Views, Block Menus and HTML Jeanne M. Spicer 6
NESUG 1996 SAS ARRAYS: A Basic Tutorial Bruce F. Gilsen 9
NESUG 1996 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 8
NESUG 1996 Statistical Analysis of Self-Organizing Maps Susan B. Garavaglia,
Asha Sharma		 10
NESUG 1996 Syndromes for Medical Diagnosis: A search Method in SAS Language Victor Kamensky,
Ilya Muchnik,
Leonyd Yampolsky		 6
NESUG 1996 The Bisquare Weighted Analysis of Variance: A Technique for Nonnormal Distributions Rebecca Regeth,
William Stine		 9
NESUG 1996 The Dirty Dozen: Twelve Common Programming Mistakes Bob Virgile 6
NESUG 1996 Using Base and SAS/GRAPH Software to Identify and Geographically Display Health Care Labor Markets in New York State Matthew Reilly 10
NESUG 1996 Using PROC TRANSPOSE to Facilitate the Processing, Analysis and Reporting of Health Care Claims Data Bryan K. Beverly 6
NESUG 1996 Using SAS to Compute Variances For Poisson Samples Terry L. Pennington 6
NESUG 1996 Using the SAS System for Continuous Quality Improvement Melissa A. Durfee 10
NESUG 1996 Using the SAS System to Perform McNemar's Test and Calculate the Kappa Statistic for Matched Pairs of Data Lisa Suchower,
Margaret Copenhaver		 8
NESUG 1996 Using the SAS System to Produce HTML-Based Text Richard D. Langston 4
MWSUG 1996 "How Does Your Data Compare?" Jenna Heyen 7
MWSUG 1996 Customized Report Writing Using PROC PRINTO Kim L. Kolbe Ritzow 12
MWSUG 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 5
MWSUG 1996 SAS/AF "Gets Focus" Cheryl Olson 4
MWSUG 1996 SAS/AF Application Development Using Templates Carl R. Haske 7
MWSUG 1996 Self-Modifying SAS Programs: A DATA Step Interface S. David Riba 9
MWSUG 1996 Taguchi Methods in Experimental Design Ting James Kong 10
MWSUG 1996 Understanding Control Charting: Techniques and Assumptions Charles Darby 6
WUSS 1996 A Process for Simultaneous Porting of Applications to Many Platforms Richard D. Langston source 2
WUSS 1996 Cross Platform Generation of Reports from Oracle Using SAS on MVS, Macintosh and AIX Marvyn M. Lindsey source 6
WUSS 1996 Multicollinearity in Regression Models: Detection and Remedial Measures Using the SAS System George C. J. Fernandez source 9
WUSS 1996 The Effect of Poison Pills on Firm Risk: An Application of Options Pricing Theory Thomas A. Turk,
Jeremy Goh		 source 9
WUSS 1996 Using Survey Data: Tips to Pick Up Speed on the Road to Analysis Cynthia L. Williamson,
Suzanne D. Kreutzer		 source 6
WUSS 1996 Using the SAS System to Produce HTML-Based Text Richard D. Langston source 4
PNWSUG 1996 Creating Composite Wafer Maps for the Semiconductor Industry Michael K. Nash,
Robert Barrantes		 14
PNWSUG 1996 Net Impact for Program Evaluation Modeling and SAS Programming Boqing Wang 18
PNWSUG 1996 Reports Based on SAS Output: Takinf Advantage of PROC PRINTTO, DATA STEPS and PROC GPRINT Lauren E. Haworth 6
PNWSUG 1996 Using SAS View to Enhance Software Quality, Improve Data Security and Reduce Data Replication Adam Hendricks 27
PNWSUG 1996 When and How th PROC TABULATE Can Be Used Minghui Yang 10
SEUGI 1996 A SAS-Macro for the Welch t-Test procedure in the many-to-one design Carina Ortseifen source 5
SEUGI 1996 A SAS/AF software application for sample size and power determination Fiona Portwood source 8
SEUGI 1996 Assessing Risk in the U.K. Contributions Agency Jim Rynn source 22
SEUGI 1996 Backtesting or backestimating: an overview Gerhard Stahl source 7
SEUGI 1996 BEAM - an interactive GIS application for fish stock abundance estimation A. Totland,
L. Soras,
O. R. Dodo		 source 16
SEUGI 1996 Building a metric information system to monitor UNIX, Bull and MVS systems [presentation] UNKNOWN source 33
SEUGI 1996 Experimental analysis and SAS/EIS - reporting in semiconductor manufacturing Randall S. Collica source 29
SEUGI 1996 How to mix a cocktail by using SAS/AF and FRAME technology Richard W. M. Jeurissen source 9
SEUGI 1996 Microsimulator builder - a client/server application Eva Papp,
Zsuzsanna Keki		 source 15
SEUGI 1996 Neural networks and/or classical statistics?! Jorg Imhoff,
Michael Wetzel		 source 19
SEUGI 1996 Neural Networks Application: a case study Rui Alexandre Henriques Gonçalves source 7
SEUGI 1996 NLSSetup application for Orlando Manfred Kiefer source 50
SEUGI 1996 Procedures for planning and analysing experiments and surveys Dieter Rasch source 8
SEUGI 1996 QSYS - a quality information system for Swedish SNUS Bertil Runstrom source 7
SEUGI 1996 SAS software dictionary tables. What are they? And how to use them! Patrik Karlsson source 12
SEUGI 1996 SAS software in the retail market Scott Thomson source 10
SEUGI 1996 SAS software solutions for direct marketing data analyses Michael Felsmann source 37
SEUGI 1996 SAS Software Tips: My Experience as a SAS-L MVP Philip A. Mason source 6
SEUGI 1996 SIAP: an integrated statistical package for living condition analyses Antonella D'Agostino,
Giulio Ghellini,
Laura Neri		 source 18
SEUGI 1996 Taming sample size calculation formulas with the SAS System (an application for trial sample size determination) Julian Singer source 8
SEUGI 1996 Techniques for Drag & Drop Implementation 6.08 - Orlando R. A. Smith source 35
SEUGI 1996 Tree-based modelling with the SAS System Nick Dunkerton source 12
SEUGI 1996 TREEDISC - a method for identifying household segments Sten Sture source 11
SEUGI 1996 Using the SAS system to fit the BURR XII distribution to lifetime data Alan John Watkins source 8
SUGI 1996 A SAS Macro for validating a Logistic Model with Split Sample and Bootstrap Methods Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski,
Bharat K. Thakkar		 source 4
SUGI 1996 A SAS Macro Using PROC MEANS to Report Data Completeness Rates of Predefined Dimensions and Subdimensions of Variables Mazen Abdellatif,
Thomas Moritz,
Uzy Thottapurathu,
Domenic J. Reda		 source 6
SUGI 1996 A Statistical Analysis Macro Library in SAS Software Vivienne Ward,
Carl R. Haske		 source 5
SUGI 1996 A Tutorial on Bootstrapping in the SAS System Paul A. Thompson source 10
SUGI 1996 An Introduction to Developing Applications with SAS/AF FRAME Entries Vincent L. Timbers source 9
SUGI 1996 Beating Student's t and the Bootstrap - USing SAS Software to Generate Conditional Confidence Intervals for Means Thomas C. Chenier,
Paul Vos		 source 6
SUGI 1996 Character-Based and Object-Oriented Reporting with SAS Procedure and PUT Style Output: Annotate Character Based Reports! M. P. Welch source 4
SUGI 1996 Computer Validation and the SAS System William C. Murphy source 4
SUGI 1996 Computing Min and Max Scorings for Two-Sample Ordinal Data Lyn Whitaker,
Michael D. Whitaker		 source 6
SUGI 1996 Conversion to SAS Software from Other 4GL Languages Richard J. Nicola source 6
SUGI 1996 Cross Platform Generation of Reports from Oracle Using SAS on MVS, Macintosh and A/X Marvyn M. Lindsey source 6
SUGI 1996 CRSP Data Retrieval and Event Study Analysis in $AS Software: Sample Programs and Programming Tips Donald P. Cram source 6
SUGI 1996 Customized Reports from PROC LlFETEST Sheng Luo,
Xinsheng Lin		 source 5
SUGI 1996 Decision Support - A Quick Turnaround System Using SAS Software Tony Brown,
Ed Forman		 source 6
SUGI 1996 Determining the Expected Mean Squares and Subsequent Power Calculations: An Application to Biostatistics Jon M. Lindenauer,
Eric C. Burdge,
John W. Philpot		 source 5
SUGI 1996 Exact Methods in the NPAR1WAY Procedure Anupama Narayanan,
Donna L. Watts		 source 5
SUGI 1996 Examining the File Contribution Server: Interesting Applications Richard D. Langston source 4
SUGI 1996 Exploring Economic Time Series with PROC ARIMA Joseph E. Earley source 4
SUGI 1996 Find SAS Errors and Make Corrections Quicker: An Enhancement of the VMS EVE Editor Lewis Fountain source 2
SUGI 1996 FRAME Your Mainframe Batch Applications Michael L. Davis source 10
SUGI 1996 Getting into a New FRAME Of Mind-OOP with SAS Software FRAME Entry Paul Butler source 10
SUGI 1996 Households Touched by Crime: A Method for Counting Clusters of Units Affected by an Event of Interest Lawrence W. Altmayer source 4
SUGI 1996 Imputation of Data Missing Due to Truncation --- A SAS Macro for Maximum Likelihood Estimates Using Symmetry Property Zhengyu Wang,
ViswanaThan Ramakrishnan,
John M. Davis		 source 6
SUGI 1996 Integrating SAS Software into a Legacy System or How to Keep a Foot in the 21st Century While Dragging along the 19th David Hrivnak source 8
SUGI 1996 Integrating the SAS System for Personal Computers into Your Enterprise Gary Mehler source 9
SUGI 1996 Macros to Create 3-Dimensional Plots and Charts with SAS/GRAPH Software Chris Nota,
Bill Sawyer		 source 6
SUGI 1996 Pairwise Matching of Sample and Control Groups Using PROC FASTCLUS Kathleen A. Travis,
Stephan Arndt,
Nancy C. Andreasen		 source 5
SUGI 1996 PROC REPORT: An Introduction to the Batch Language Ray Pass source 10
SUGI 1996 Quick and Easy AF Applications Using SAS/ASSIST Software, SAS Data Views, Block Menus and HTML Jeanne M. Spicer source 6
SUGI 1996 SAS Software and the WWW - What Next? Larry Hoyle source 8
SUGI 1996 SAS Software On Display: An Introduction to the SAS Display Manager David E. Beam source 8
SUGI 1996 SAS Software Tips: My Experience as a SAS-L MVP Philip A. Mason source 7
SUGI 1996 SAS Software to the Rescue! A UNIX System Administrator's Tool Lisa P. Wayte source 6
SUGI 1996 Security for SAS Servers Brian Perkinson source 5
SUGI 1996 Severity Analysis Using Ridits Mary A. Marion source 13
SUGI 1996 SimBusiness - Practical Applications in Business Simulation Using QSIM Brian Stratton source 4
SUGI 1996 Software Validation and Testing Andrew T. Kuligowski source 9
SUGI 1996 SUM Enchanted Procedure: The Advanced Power of PROC SUMMARY David E. Beam source 6
SUGI 1996 Systematic Sampling for Nonrandom Populations Julie Wildman Pepa source 6
SUGI 1996 Teaching the SAS System as an Academic Subject Andrew H. Karp source
SUGI 1996 The Dirty Dozen: Twelve Common Programming Mistakes Robert Virgile source 6
SUGI 1996 The MODULE Function in Release 6.11 of the SAS System: An OS/2 Experience F. Joseph Kelley source 10
SUGI 1996 Tips on JMPing into Mixture Experimentation Daniel J. Obermiller source 6
SUGI 1996 Using a SAS Data Set to Expand the Program Data Vector H. Ian Whitlock source 2
SUGI 1996 Using Options to Improve Report Appearance Deb Cassidy source 10
SUGI 1996 Using PROC PLAN for Randomization Assignments Miriam W. Rosenblatt source 5
SUGI 1996 Using SAS Software to Perform Multivariate Adjustment of Regression Coefficients Corrected for Regression Dilution Bias Greg A. Grandits,
Patricia Grambsch		 source 3
SUGI 1996 Using the SAS System to Detect Differential Item Functioning James A. Penny source 6
SUGI 1996 Working with Classes In SAS/AF FRAME Entries, Release 6.11 Daniel Gronell source 9
SUGI 1996 You Want Me to Move How Many Thousand Fifes from MVS to UNIX? Kenneth A. Hardy,
Sally M. Muller,
Arturo Barrios		 source
SCSUG 1995 Using SAS/PC for Higher Order Factor Analysis in Research William L. Johnson,
Annabel M. Johnson		 10
MWSUG 1995 A Statistical Analysis Macro Library in SAS Carl R. Haske,
Vivienne Ward		 5
MWSUG 1995 An Introduction to Binary Logistic Regression Linda M. Quinn 8
MWSUG 1995 Applications of PROC PHREG Enhancements in Version 6.10 Ying C. So 9
MWSUG 1995 Conversion to SAS from Other 4GL Languages Rick Nicola 6
MWSUG 1995 Development Facilities and Tools for SAS Applications Philip H. Van Dusen 10
MWSUG 1995 Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor Michelle Secic 6
MWSUG 1995 Don't Be Roadkill on the Superhighway: Using the Internet to Support SAS Software Nancy Hill 5
MWSUG 1995 How to Unravel Hierarchical Data Using SAS Maxine Heinitz,
Sue Hakomaki		 5
MWSUG 1995 Hypothesis Testing & Confidence Interval Estimation via the Least Absolute Value (LAV) Approach Tom G. Filloon 6
MWSUG 1995 Introducing the Sample Library File Contribution Server Richard D. Langston,
Gregory S. Barnes Nelson		 6
MWSUG 1995 MACRO Facility Enhancements for Release 6.11 Jeffrey A. Polzin,
Susan M. O'Connor		 10
MWSUG 1995 SAS Macros for Exact Confidence Limits Richard L. Berg 6
MWSUG 1995 Simulation and Bootstrapping in the SAS System: A tutorial using PROC IML Paul A. Thompson 10
MWSUG 1995 STAT101: A Review of the Basics Judi D. Reine 5
MWSUG 1995 Taming the Chaos: Standards for SAS Programming Michael Whitney 10
MWSUG 1995 Using PROC PLAN for Randomization Assignments Miriam W. Rosenblatt 6
MWSUG 1995 Using SAS/QC To Automate The "Magnificent Seven" Tools of Quality Roderick Lashley 8
MWSUG 1995 Using the WHERE Statement Robert Virgile 5
NESUG 1995 A Methodology For Supporting Summary Selectivity Dennis J. Clague 7
NESUG 1995 A Survey of Capability Invoices Dennis W. King 11
NESUG 1995 Cooperative File Interfaces: How SAS & BMDP Can Work Together On VAX/VMS Thalene T. Mallus 10
NESUG 1995 Displaying the Results of Multivariate Analyses Dan Jacobs,
Steven G. Smith		 8
NESUG 1995 Dynamic Data Selection Lists in SAS/AF Programming Entries John M. Rinehart 7
NESUG 1995 Getting Into a New FRAME of Mind Object Oriented Programming with SAS FRAME ENTRY Software Paul Butler 10
NESUG 1995 HOTROD: An Intelligent Hotdeck Imputation System Eugene M. Burns,
Jay Olsen		 8
NESUG 1995 Implementing a Modified Method of Weighted/Unweighted Means Robert H. Brown 9
NESUG 1995 Introduction to SAS/GRAPH John J. Cohen 8
NESUG 1995 Managing Large Databases With Customized SAS Windows Ronald W. Matheny 10
NESUG 1995 Multivariate Density Estimation using SAS Software Jeffrey S. Butler 9
NESUG 1995 Performance Management in an Open Systems Environment Using SAS/CPE with SunNET Manager Joseph M. Mirabal 16
NESUG 1995 Power Analysis: Prospective Use of a SAS Macro John F. Walsh 3
NESUG 1995 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
NESUG 1995 Rank Based Alternatives to Normal Least Square Analyses Maria C. Prenger 6
NESUG 1995 SAS Macros for Bootstrap Samples with Stratification and Multiple Observations per Subject Terry Hyslop 8
NESUG 1995 Understanding Object Oriented Programming and the SAS/AF FRAME Entry Barry R. Cohen 10
NESUG 1995 Using Autocall Macros as a Common Codebase of Data Checks for Clinical Trials: Examples Drawn from the Pharmacetutical Industry Michael E. Tomb 10
NESUG 1995 Using Features of SAS Software to Improve Your Documentation Bill Calvert,
Lynette Swartz		 6
NESUG 1995 Using Object Linking and Embedding, and Open Database Connectivity, With SAS 6.10 and Microsoft Excel 5.0 Robert S. Workman,
Peter Intarapanich,
Gary Drucker		 3
NESUG 1995 Using PROC GPRINT and Enhancing The Printed Output Edmond Williams,
Shi-Tao Yeh		 5
NESUG 1995 Using SAS To Compute Variances For Stratified Samples Lawrence Helbers 5
NESUG 1995 Using the WHERE Statement Bob Virgile 5
NESUG 1995 When Chi-Square Does Not Hold: How to Analyze Tables With Low Cell Frequencies With SAS Lothar Tremmel 9
NESUG 1995 Working with Classes in Version 6.11 of SAS/AF FRAME Entries Daniel Gronell 8
WUSS 1995 A Modern Version of Klein's Macroeconometric Type Model Kamal Shoukry source 5
WUSS 1995 Administering and Using SAS/CONNECT and SAS/ACCESS Joe Terdiman,
Steven A. Wilson		 source 10
WUSS 1995 An Introduction to PROC ARIMA Using Macroeconomic Time Series Joseph E. Earley source 14
WUSS 1995 Development Facilities and Tools for SAS Applications Philip H. Van Dusen source 10
WUSS 1995 Implementation of a Simple Method for the Analysis of Over-Dispersed Counts and Proportions Jennifer Lee,
Chul W. Ahn		 source 3
WUSS 1995 Introducing the Sample Library File Contribution Server Richard D. Langston,
Gregory S. Barnes Nelson		 source 6
WUSS 1995 Introduction to PROC SQL as a Data Summary Tool Aileen L Yarn source 5
WUSS 1995 PROC REPORT, A Guided Tour Martin Haase source 6
WUSS 1995 Solutions for the Data "Where?" House: Presenting Data form Many Sources Using SAS and ODBC Andrew J. L. Cary source 10
WUSS 1995 The Effects on Learning Efficiency and Accuracy of Easy-to-Difficult Practice on the Tower of Hanoi Problem-Solving Task Diana D. Suhr,
Gypsy Denzine,
Stuart Garry,
Peggy Lane		 source 8
WUSS 1995 Utilizing Clinical SAS Report Templates Sunil Kumar Gupta source 5
SESUG 1995 Beginning Tutorials "F-WORDs" for More Productive SAS@ DATA Step Programming Bill Calvert 4
SESUG 1995 Information Visualization Ali Dogrusoz,
Nitin S. Patel,
Ronald E. Stogner		 4
SESUG 1995 Intraclass Correlation Reliability Estimation Using the GLM and MIXED Procedures Maribeth H. Johnson 5
SESUG 1995 Managing Large Databases Using SAS and Oracle Ronald W. Matheny 6
SESUG 1995 Posters The MODULE function in SAS 6.10: An OS/2 Experience Francis J. Kelley 10
SESUG 1995 Strategies for Data-Driven, Customized Graphical Displays Richard W. Morris 6
SESUG 1995 User Training & Support Introducing the Sample Ubrary File Contribution Server Richard D. Langston 6
SESUG 1995 Utilizing Clinical SAS Report Templates Sunil Kumar Gupta 5
SEUGI 1995 A Simulation Study Using the SAS System - Stepwise Rejective Stopping Boundaries for Clinical Trials with Multiple Treatments Barbara G. Schneider source 11
SEUGI 1995 A Way to Handle Pharmacokinetic Studies with SAS Software Jean-Michel Cardot source 8
SEUGI 1995 An Overview of New Data Analysis Features in the SAS System Gerhard Held source 6
SEUGI 1995 DoPE: A Tool for D-Optimal Planning & Experimentation Christoph F. Berding source 16
SEUGI 1995 Practical Experiences in Open Systems Network Performance Management and Benefits of Using SAS/CPE Bernard Detrembleur source 10
SEUGI 1995 SAS Macros for Nonparametric Tests in the Case of Multivariate Incomplete Data from two Populations Thomas Bregenzer source 7
SEUGI 1995 SAS System Performance under UNIX Hans-Joachim Kirsten source 10
SEUGI 1995 Simultan Data Collection to a DB2-table with FSEDIT and the SQL Cartesian Product Thorleif Maudal source 12
SEUGI 1995 SPHINX: An Interactive Object-Oriented Petroleum Application to Enhance the Production of an Oil Reservoir at ELF AQUITAINE Michel Lariviere source 7
SEUGI 1995 Statistics and Democracy Preference Mapping in Opinion Poll Analysis Guido Cuzzocrea source 6
SEUGI 1995 The Times They are a Changing - The Increasing Case for a Multidisciplinary Approach to Statistical Applications Nicholas Graham Dyson source 11
SEUGI 1995 Transforming and Presenting Information From Raw Data to an Organized Document Through the SAS System Version 6.08 for Windows Features Paola Balardi source 11
SEUGI 1995 Using the SAS System for Market Research Gerhard Held source 3
SUGI 1995 A Birdseye View of the Market: A Method of Organizing, Combining and Dissecting Your Data for Market Analysis C. Olivia Parr Rud source 8
SUGI 1995 A Macro to Output the Statistics from the TTEST Procedure to a SAS Data Set Erik S. Larsen,
Daniel DiPrimeo		 source 4
SUGI 1995 A SAS Macro for Estimating Power for ROC Curves: One-Sample and Two-Sample Cases Richard Zepp source 3
SUGI 1995 Adding Value to SAS Data with SGML John Barnum,
Craig Sampson		 source 10
SUGI 1995 Adjusted F-Tests for Repeated Measures with the MIXED Procedure S. Paul Wright source 6
SUGI 1995 An Introduction to Partial Least Squares Regression Randall D. Tobias source 8
SUGI 1995 Approaches to the Nonparametric Tests for Samples Location Comparison in SAS Software C. J. Tian,
S. Shiue		 source 3
SUGI 1995 Bartlett Correction of Binomial Regression Analyses of Small Samples Lawrence Moulton,
Roy St. Laurent,
Lisa Weissfeld		 source 5
SUGI 1995 Be Bullish with SASe Financial and Investment Analysis with Ease Paul J. Ratnaraj source 10
SUGI 1995 Bootstrap Cox Regression Using SAS Procedures Chikuma Hamada,
Junji Kishimoto		 source 5
SUGI 1995 Building a Client/Server EIS Greg Shanker,
David Hand		 source 10
SUGI 1995 Calculating Confidence Intervals on Proportions of Variability Using the VARCOMP and IML Procedures Annette M. Green,
David Umbach		 source 6
SUGI 1995 Communicate Effectively in Color with SAS/GRAPH Software LeRoy Bessler source 6
SUGI 1995 Comparing the SAS GLM and MIXED Procedures for Repeated Measures Ming Chang,
Russell D. Wolfinger		 source 11
SUGI 1995 Controlling Page Breaks When Using PROC REPPORT Cynthia A. Stetz source 2
SUGI 1995 Designer Graphics: Anatomy of Some SAS Macros for Statistical Graphics Michael Friendly source 8
SUGI 1995 Development Facilities and Tools for SAS Applications Philip H. Van Dusen source 10
SUGI 1995 Don't Be RoadKiII on the Information Superhighway: Using the Internet to Support SAS Software Nancy Hill source 5
SUGI 1995 Estimating Effects of Transparency on Market Quality: A SAS/OR Application Barbara B. Okerson,
Dominique Vacheron		 source 3
SUGI 1995 Exploiting MS Windows for SAS Version 6.10 John Price,
Mark W. Cates		 source 10
SUGI 1995 Fuzzy Joins using SOL Jack N. Shoemaker source 10
SUGI 1995 Interactive Analysis of Survey Data Using SAS/AF and SAS/EIS Software Robert Hood source 6
SUGI 1995 Interoperability Features of SAS System: Administering and Using SAS/CONNECT and SAS/ACCESS Steven A. Wilson,
Joseph Terdiman		 source 10
SUGI 1995 Introducing the Market Research Analysis Application Wayne E. Watson source 8
SUGI 1995 Introducing the Sample Library File Contribution Server Richard D. Langston,
Gregory S. Barnes Nelson		 source 6
SUGI 1995 Macro Development and Centralization: A Modular Data-Driven Approach M. Kumar Sagar source 6
SUGI 1995 MACRO Facility Enhancements for Release 6.11 Jeffrey A. Polzin,
Susan M. O'Connor		 source 10
SUGI 1995 Object-Oriented Programming with the SAS/AF FRAME Entry: CANDA Experiences Barry R. Cohen source 9
SUGI 1995 Power Tools for Visualization of Information Ali Dogrusoz,
Nitin S. Patel,
Ronald E. Stogner		 source 5
SUGI 1995 PROC REPORT: An Introduction to the Batch Language Ray Pass source 10
SUGI 1995 Resampling Using the SAS System Kelly Hood,
Sylvia Miller		 source 6
SUGI 1995 SAS ARRAYS: A Basic Tutorial Bruce F. Gilsen source 10
SUGI 1995 SAS Macros Useful in Imputing Missing Survey Data Barbara Lepidus Carlson,
Brenda Cox,
Linda Bandeh		 source 6
SUGI 1995 Taking Advantage of the SAS System Release 6.11 for Personal Computers Carol Williams Rigsbee source 7
SUGI 1995 The Intricate Organization and Management of Clinical Research Laboratory Samples Using SAS/AF Jacqueline A. Wendel,
Daniel Nosek		 source 6
SUGI 1995 The Other Five Percent - Writing SAS Code for Multiple Operating Systems Ryan K. Carr,
Daniel R. Bretheim		 source 6
SUGI 1995 To Merge or Not to Merge: These are the Answers John Badolato source 5
SUGI 1995 Using SAS Software to Design and Evaluate Lot Acceptance Sampling Plans Dennis W. King source 4
SUGI 1995 Using SAS Software to Increase Your Application Development Productivity: Tools That Work Teresia L. Arthur,
Todd Lack		 source 10
SUGI 1995 Using SYSPARM to Conditionally Execute Batch Jobs Clarence W. Jackson source 2
SUGI 1995 Video Tools for the SAS System Ken Ellis source 1
SUGI 1995 Why Standard Utility Programs are Good and Why You Should Use the SAS System to Create Them Henry B. Winsor,
P. K. Sharma		 source 6
SUGI 1995 Windowed Interface for Statistical Analysis of Registry Data (WISARD): A SAS/AF Information System Using Distributed Processing Michael Swift,
Bradley Haig		 source 6
SUGI 1995 Writing SAS/AF Applications That Run in Both an Interactive and Batch Environment Jim Nelson,
Matthew Grover		 source 6
SCSUG 1994 A Development Environment for Applications Based on SAS Software Donna Martinez 4
SCSUG 1994 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 6
SCSUG 1994 Lead Time to Return Harriet Bricha 6
SCSUG 1994 Two Macros for Calculating Often Used Statistics of Symmetry and Agreement in the Biopharmaceutical Industry Jeff Heckathorn,
Mark F. Munsell		 12
WUSS 1994 A Development Environment for Applications Based on SAS Software Danielle Davis source 4
WUSS 1994 A Reassessment of the Monetary Approach to Exchange Rate Determination: A Multivariate Analysis of Difference-Stationary Time Series Victor Gastnaga source 6
WUSS 1994 A SAS MACRO for the Ricardian Model of International Trade Zaki Eusufzai source 17
WUSS 1994 Advantages and Pitfalls of the SQL Procedure Patricia L. Gerend source 9
WUSS 1994 An Effective Method to Construct Coefficients in CONTRAST and ESTIMATE Statements Used in ANOVA George C. J. Fernandez source 17
WUSS 1994 Examination of the Importance of Root Hairs in Plant Water-Use Studies by Repeated Measures Analysis Carolyn K. Yoder source 4
WUSS 1994 Experimental Design and Survey Sampling Methods Using the SAS Macro Utility Paul W. Johnson source 7
WUSS 1994 The Asymmetric Weighting of Service Encounters Kersi D. Antia source 6
WUSS 1994 The Lazy Man's Guide to S-A-S Ginger Carey,
Helen D. Carey		 source 7
NESUG 1994 %SUBSTR and Other Useful Macro Functions Paula B. Podolnick 9
NESUG 1994 A Birdseye View of the Market: A Method of Organizing, Combining and Dissecting Your Data for Market Analysis C. Olivia Parr Rud 7
NESUG 1994 A Development Environment for Applications Based on SAS Software SAS Institute (a company) 4
NESUG 1994 A Program that Analyzes Multiple-Choice Test Results Using Output from SAS's Item Macro Marvin S. Margolis 10
NESUG 1994 A SAS Macro for Exact Power of Chi-Square Tests of Equality of Two Proportions Carl E. Pierchala 10
NESUG 1994 A Tutorial on the SAS Macro Language John J. Cohen 6
NESUG 1994 Comparison of Feature-Based and Raw Gray-Level Intensity as Pattern-Recognition Discriminators in Image-Processing John S. DaPonte,
Joseph N. Vitale		 8
NESUG 1994 Controlling Page Breaks When Using PROC REPORT Cynthia A. Stetz 2
NESUG 1994 Developing Applications for End-Users with SAS/AF FRAME Entries Vincent L. Timbers 10
NESUG 1994 Exploratory Data Analysi When You Don't Have SAS/INSIGHT Michael A. Walega 10
NESUG 1994 Fuzzy Joins Using SQL Jack N. Shoemaker 10
NESUG 1994 How to Survive PROC LIFETEST Peter P. Gaccione 10
NESUG 1994 Managing Large Data Files Using UNIX Compression Scripts Stephen M. Libster 6
NESUG 1994 Oject-Oriented Programming with the SAS/AF FRAME Entry: CANDA Experiences Barry R. Cohen 9
NESUG 1994 PROC DATASOURCE - Strategies for User Support Sharon J. O'Donnell 6
NESUG 1994 Reading Large Data Files in SAS Prabhakar Jain 5
NESUG 1994 SAS Database Management System Used for Semiconductor Defect Learning Tracy L. Lord,
Ken A. Wiggin		 3
NESUG 1994 SAS Macros for (Clinical) Database Checking and Listing Sam X. Ye 11
NESUG 1994 Seeing Double: How to Compare a SAS Dataset with Itself Judy Loren 2
NESUG 1994 Using SAS INCLUDE Files and SAS Macro Variables to Develop an Interactive Graphics Application Rick Guest 6
NESUG 1994 Using SAS with Oracle Products for Database Management and Reporting Henry W. Buffum,
Darryl J. Keith		 7
NESUG 1994 Using SAS/IML to Account for Spatial Dependence in Regression Models Charles B. Hallahan 8
MWSUG 1994 Alternative Approaches to Mixed Linear Models George W. Pasdirtz 6
MWSUG 1994 End User Report Generation On the IBM System RISC/6000 Integrating BASE SAS and UNIX Shell David Courtney,
Stephen Graph		 10
MWSUG 1994 SAS Randomization Techniques for Clinical Trials Linda M. Quinn 6
MWSUG 1994 The Other Five Percent - Writing SAS Code for Multiple Operating Systems Ryan K. Carr,
Daniel R. Bretheim		 6
MWSUG 1994 Total Control of Your Printed Output Without Desktop Publishing Bill Adams 5
MWSUG 1994 Use of Macros in Generating Statistical Comparisons for Bioequivalence Reports A. David Mundt 9
MWSUG 1994 Using SAS Software to Design and Evaluate Military Standards Sampling Plans Dennis W. King 7
SESUG 1994 A Birdseye View of the Market: A Method of Organizing, Combining and Dissecting Your Data for Market Analysis C. Olivia Parr Rud 7
SESUG 1994 A Development Environment for Applications Based on SAS Software SAS Institute (a company) 4
SESUG 1994 APPLICATIONS DEVELOPMENT An Implementation of SASe in an Environmental Information System Teresa James 6
SESUG 1994 GRAPHICS CREATING POPULATION TREE CHARTS (USING SAS/GRAPH SOFlWARE) Robert E. Allison,
Moon W. Sub		 3
SESUG 1994 GRAPHICS SOME MEfHODS TO EXTEND SAS/GRAPH Paul L. Marsh 9
SESUG 1994 GRAPHICS USING GRAPmCS TO CONVEY STATISTICAL CONCEPTS AND RESULTS David A. Dickey 4
SESUG 1994 Managing Overkill: How to Use SAS PROC CA TMOD to Estimate Odds Ratios Sigurd W. Hermansen 5
SESUG 1994 POSTERS Vote-Counting Method to Obtain an Estimate and Confidence Interval for the Population Correlation Coefficient Using SAS/Ar . Frank C. Lieble ill, SAS Institute Inc., Orlando, Florida Morgan C. Wang 6
SESUG 1994 SAS Macros for Sample Selection and Estimation N. I. Lyons,
K. Tam		 4
SESUG 1994 SrATISIlCS Colored Candles 5
SEUGI 1994 An Application Development Application John Watts source 9
SEUGI 1994 Cross Validation of Nearest-neighbour Discriminant Analysis Allan White source 15
SEUGI 1994 Estimating Robust Scale Measures Using SAS Software Hans-Peter Altenburg source 7
SEUGI 1994 Graphical Extensions for Principal Component Analysis (Insight of a Dream PCA) Philippe Besse source 16
SEUGI 1994 Info Where an Information Dictionary Eric Dingreve,
Harm van der Lek		 source 6
SEUGI 1994 Large-flow Applications Development at the Institute for Economic Analysis and Information Technology Ha Hoang Hop source 7
SEUGI 1994 Rapid Applications Development to Assure Critical Success Through Quality Ian D. Cox source 10
SEUGI 1994 Resampling Using SAS/IML Software Some Medical Applications Gina Joubert source 8
SEUGI 1994 SAS System Macros for Multi-variate Two-sample Tests in the Case of Incomplete Data Thomas Bregenzer source 10
SEUGI 1994 SAS/VIDEO Software Easier to Program than Your VCR Sanjay N. Matange,
Jade Walker		 source 5
SEUGI 1994 Starting with the SAS System in the Central Bureau of Statistics in Croatia Srdan Dumicic,
Zrinka Marusic		 source 7
SEUGI 1994 The Use of SAS/ASSIST Software in the Home Office to Analyse Data From a Variety of Criminal Justice Sources Garnett Compton,
John Simmons		 source 9
SEUGI 1994 Using SAS/IML Software to Develop Flexible Regression Models Edwin Gillespie,
Noel Wilson		 source 5
SEUGI 1994 Using the SAS Software, SQL and SIMPLE++ to Ensure that Expensive Investment Decision are Based on a Statistically Sound Experimental Analysis of Descrete Event Simulation Models P. Rushton source 10
SEUGI 1994 We Must Achieve an Intergrated Approach to the Presentation of Systems if we are ever to Realise the Full Benefit of "Open Systems" [presentation] David Hand source 7
SUGI 1994 A Development Environment for Applications Based on SAS Software SAS Institute (a company) source 4
SUGI 1994 A Macro-Based Approach for Calculating Binomial Probabilities Daniel R. Bretheim source 6
SUGI 1994 A SAS/AF System for Entry, Validation, Analysis, and Reporting of Diverse Survey Data from Multiple Sites William A. Harris,
Charles W. Warren		 source 6
SUGI 1994 An Application of SAS Procedure In Evaluation of Drug Effect Estimation of Mean Residual Lifetime Jianli Li source 6
SUGI 1994 An Educational-Assessment Database for the State of Tennessee John F. Schneider source 5
SUGI 1994 Application of Random-Effects Model for Categorical Data to Antiemetic Clinical Trials in Cancer Patients Regina Louie,
Alex Yaroshinsky		 source 5
SUGI 1994 Automating the Plotting of Significant Effects in Analysis of Variance Matthew Grover,
Huixing Tang		 source 6
SUGI 1994 BestClass: A Robust Nonparametric Classification Package A. Pedro Duarte Silva,
Antonie Starn		 source 6
SUGI 1994 Colored Candies and Base SAS: A Sweet Way to Produce Chi-Square Control Charts Part 1: Tutorial Sherry Joyce King,
Melvin T. Alexander		 source 6
SUGI 1994 Colored Candies and PROC MACONTROL: A Sweet Way to Produce Chi-Square Control Charts Part 2: Statistical Presentation Melvin T. Alexander,
Sherry Joyce King		 source 6
SUGI 1994 Computing Case Diagnostics for Structural Equation Models Noel G. Cadigan source 5
SUGI 1994 Constructing Multivariate Control Charts with SAS Software Melissa A. Durfee source 9
SUGI 1994 Enhancements to the Graphical User Interface for the SAS System on Personal Computers Carol Williams Rigsbee source 9
SUGI 1994 Environmental Monitoring Data Entry and Data Quality Application Pamela Y. Goldberg source 6
SUGI 1994 Estimating Components of Variance for a Linear Model Having a Mixed Fixed/Random Factor in a Large Data Structure Dawn VanLeeuwen,
N. Scott Urquhart		 source 5
SUGI 1994 Estimating Spatial Regression Models with SAS/IML Charles B. Hallahan source 5
SUGI 1994 Estimation of the Values below the Detection Limit by Regression Techniques Shi-Tao Yeh,
Gayland Ridley		 source 4
SUGI 1994 Evaluating the Performance of the Wilcoxon Signed Rank Test in SAS Software C. J. Tian source 2
SUGI 1994 Finding Business Solutions by Extending SAS/EIS Applications Merry G. Rabb,
Ben Cochran		 source 9
SUGI 1994 Graphical Analysis of Multidimensional Ecological Community Data E. Barry Moser source 6
SUGI 1994 Interpreting Complex Nonlinear Models Lawrence C. Marsh,
Maureen A. McGlynn,
Debopam Chakraborty		 source 5
SUGI 1994 Introduction to the UNIVARIATE Procedure Kim L. Kolbe Ritzow source 8
SUGI 1994 N/C Milling Machine Capability Study - Resultant for all parts Christopher L. Bonar source 10
SUGI 1994 Neural Network Implementation in SAS Software Warren S. Sarle source 23
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SUGI 1994 New Features in SAS/TOOLKIT Software Richard D. Langston source 3
SUGI 1994 Nonstandard Uses of PROC MULTTEST: Permutational Peto Tests; Permutational and Unconditional T and Binomial Tests Peter H. Westfall,
Keith A. Soper		 source 4
SUGI 1994 Opening the Doors to VSE Tony Dean source 8
SUGI 1994 PROC REPORT: A Hands-on Introduction to the Batch Language Ray Pass source 10
SUGI 1994 PROC REPORT: An Introduction to the Batch Language Ray Pass source 10
SUGI 1994 Programming the NUN Procedure Using the Negative Binomial Yield Model for ASIC Semiconductors Jon A. Patrick source 4
SUGI 1994 Properties of Power, An Educational Tool Julie Wildman-Pepe,
Susan C. Schott		 source 5
SUGI 1994 Recent Issues in Statistical Process Control: SAS Solutions USing Statistical Modeling Procedures Robert N. Rodriguez source 18
SUGI 1994 SAS Database Management Systems Used for Semiconductor Defect Learning Tracy L. Lord,
Ken A. Wiggin		 source 3
SUGI 1994 SAS Software Utilization in the Production of Fibers Robert V. Baxley Jr.,
Jerry L. Oglesby		 source 8
SUGI 1994 SAS Tools for Assessing Gage Repeatability and Reproducibility Julie A. LaBarr source 10
SUGI 1994 SAS/PH-Clinical Software: Study Startup Hints Juliana M. Ma,
Sandra D. Schlotzhauer		 source
SUGI 1994 SAS/VIDEO: Easier to Program than your VCR Sanjay N. Matange,
Jade Walker		 source 5
SUGI 1994 Small-Sample Inference in SAS Software: Using Exact Methods Cyrus R. Mehta source 9
SUGI 1994 The Lazy Man's Guide to SAS Software Ginger Carey,
Helen D. Carey		 source 6
SUGI 1994 The SAS System for Windows, Release 6.10 Carol Williams Rigsbee,
John P. Schroedl		 source 1
SUGI 1994 Using BY Variable Text Substitution to Add Data Values to SAS/GRAPH Titles and Footnotes Earl R. Westerlund source 2
SUGI 1994 Using SAS INCLUDE Files and SAS Macro Variables to Develop an Interactive Graphics Application Rick Guest source 6
SUGI 1994 Using SAS Software to Analyze Paired Comparisons Preference Data Under Coomb's Unidimensional Unfolding Model Jeff A. Sloan source 6
SUGI 1994 Using SAS Software to Carry Out a More Complete Thurstone Scaling Data Analysis Jeff A. Sloan source 6
SUGI 1994 Using SAS Software to Check Assumptions for Analysis of Covariance, Including Repeated Measures Designs Richard P. Steiner,
N. Margaret Wineman		 source 5
SUGI 1994 Using the Spearman-Karber Method to estimate the ED50 Art Carter source 6
SUGI 1994 Vote-Counting Method to Obtain an Estimate and Confidence Interval for the Population Correlation Coefficient Using SAS/AF Frank C. Lieble,
Morgan C. Wang		 source 6
NESUG 1993 A Comparison of the Size and Power of Several Tests for Association in 2x3 Contingency Tables with Ordered Categories Robert Lehr 7
NESUG 1993 A SAS Module to Generate the Contract Statements for GLM Procedure Shi-Tao Yeh,
Gayland Ridley		 6
NESUG 1993 Building Data-Driven Object-Oriented Applications: Selected Techniques David S. Septoff 8
NESUG 1993 Constructing Multivariate Control Charts is SAS Melissa A. Durfee 9
NESUG 1993 Customized Training for SAS Users: Organization-Specific and Industry-Specific Warren Repole Jr. 10
NESUG 1993 Fun with the SQL Procedure - An Advanced Tutorial Paul Kent,
Lewis Church Jr.		 6
NESUG 1993 Interfacing StatXact and SAS for Exact Tests Cyrus R. Mehta,
David C. Schlotzhauer		 9
NESUG 1993 Introducting the SAS System Release 6.09 for Windows NT Mark W. Cates,
Jennifer Bradshaw Clegg		 12
NESUG 1993 Introduction to SAS/GRAPH John J. Cohen 8
NESUG 1993 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
NESUG 1993 SAS/ACCESS Techniques for Large DB2 Databases Craig Gavin 7
NESUG 1993 Steel Plant Roll History System L. Richard Woodyatt,
John A. McNamara		 8
NESUG 1993 Survial Data Analysis - Life Table Methods Wei Zhang 10
NESUG 1993 Use of PROC IML to Calculate L-Moments for the Univariate Distributional Shape Parameters Skewness and Kurtosis Michael A. Walega 8
NESUG 1993 Using the REVERSE and SUBSTR Features of SAS Jean LaFrance 2
NESUG 1993 Using the WHERE Statement Robert Virgile 5
WUSS 1993 180 Terrific Ideas for Using and Learning the SAS System Helen D. Carey,
Ginger Carey		 source 6
WUSS 1993 A SAS Macro for Power and Sample Size Calculations for Historically-Controlled Studies with Dichotomous Endpoints Andrew Dagis,
Chul W. Ahn		 source 6
WUSS 1993 A SAS Program for Sample Size Determination for Equivalence Trials Akiko Tomita,
Chul W. Ahn,
Joyce C. Niland		 source 6
WUSS 1993 A SAS Software Program to Calculate Sample Sizes for Comparing Time-to-Failure Among More Than Two Groups Jennifer Lee,
Tamara Odom-Maryon		 source 4
WUSS 1993 Building Data-Driven Object-Oriented Applications: Selected Techniques SAS Institute (a company),
Michael Gilman,
Donald J. Henderson,
Martha F. Johnson,
Merry G. Rabb,
David S. Septoff,
Norman Shusterman,
Gregory A. Smith,
Robina G. Thornton,
Philip H. Van Dusen,
C. Jessica Yuan		 source 7
WUSS 1993 Improving Business Education with SAS: Business Students Perceptions Miro Costa source 9
WUSS 1993 Random Sampling Without Replacement Hong Zhou,
Patrick Romano		 source 2
WUSS 1993 The Urge to Merge: A Computational Method for Linking Datasets With No Unique Identifier Robert M. Bell,
Joan Keesey,
Toni Richards		 source 6
WUSS 1993 Using SAS Software to Implement a Simple Method for the Analysis of Clustered Binary Data Tamara Odom-Maryon,
Chul W. Ahn		 source 5
SCSUG 1993 A SAS/GRAPH Application in Support of Quality Improvement D. Mark Carpenter,
Cecil R. Hallum		 2
SCSUG 1993 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 30
SCSUG 1993 Functions are Your Friends, or "Honey, Could You Get Met the SQRT of DATE()? Kathe Richards 8
SCSUG 1993 Intoduction to SAS Display Manager Windows in MVS/TSO Kerril S. Bauerly,
Matthew Grover		 28
SCSUG 1993 Introducting the SAS System Release 6.09 for Windows NT Jennifer Bradshaw Clegg,
Mark W. Cates		 12
SCSUG 1993 Player Performance Evaluations in the NBA: Applications of SAS/GRAPH and SAS/QC Cecil R. Hallum 11
SCSUG 1993 SAS Macros and PROC SQL in Managing Chemical Plant Laboratory Results Conrad Reynolds 14
SCSUG 1993 Survival Analysis with SAS LIFETEST and PHREG Procedures Zhongmin Li 10
MWSUG 1993 A Data Driven Report Generator John G. Blodgett,
Bee-Yauw Soo		 7
MWSUG 1993 Analysis of Incomplete Categorical Repeated Measures Charles S. Davis 6
MWSUG 1993 Breaking Those Monthly GPLOT Chains Terry Lessmann 10
MWSUG 1993 Client/Server Made Easy: Using SAS/AF and SAS/Connect Software Together Tammy L. Gagliano 10
MWSUG 1993 Common Industrial Applications of Mixed Models Bob Obenchain 10
MWSUG 1993 Designer Graphics - Anatomy of Some SAS Macros for Statistical Graphs Michael Friendly 8
MWSUG 1993 Designing Bank Warning System Based on Logit Model Fitted to Multi-Period Performance Data Sameer Kumar,
Sant R. Arora		 10
MWSUG 1993 Generalized Least Squares Estimation in Heteroscedastic Linear Models George W. Pasdirtz 7
MWSUG 1993 Graphical Methods for Categorical Data Michael Friendly 7
MWSUG 1993 Random Sampling for the Non-Statistician Diane E. Brown 10
MWSUG 1993 Statistical Graphs in Environmental Regulatory Studies Larry R. Holden 8
MWSUG 1993 Why We Replaced DB2 Software with SAS Software as a Relational DBMS for a 30-Gigabyte User Information System Stephen C. Scott 10
SEUGI 1993 A New Look at the Facilities in PROC MIXED James L. Roger source 12
SEUGI 1993 A SAS Macro to Perform a Nonparametric Exact Test of Homogeneity for Correlated Categorical Data Comelia Baldauf source 5
SEUGI 1993 Extensions to Multivariate Descriptive Analysis Yves Roy source 14
SEUGI 1993 Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali Michel Tenehaus source 28
SEUGI 1993 Marketing and Using the SAS System in the Computer Audit Environment Francois van der Walt source 12
SEUGI 1993 Nonparametric Tests of Independence and Dispersion Extensions to a Collection of SAS Macros for Exact Nonparametrics Lars Pralle source 9
SEUGI 1993 Presentation of Study Results Histograms with Confidence Intervals [presentation] Elke Dieterich source 7
SEUGI 1993 Running Version 6 of the SAS System Under the VSE/ESA Operating System Jan Klaverstijn source 6
SEUGI 1993 SAS Macros for Comparisons with Multiple Endpoints Thomas Bregenzer source 7
SEUGI 1993 SAS/ENGLISH Software for Information Delivery Jackie Pope,
Steve Morton		 source 5
SEUGI 1993 Support of Statistical Consulting Using SAS Software Hans-Peter Altenburg source 11
SEUGI 1993 The Analysis of Repeated Measures Designs Using the SAS System Alun Bedding source 9
SEUGI 1993 The Closed Test Procedure Hans Ulrich Burger source 13
SEUGI 1993 User Experience in Designing and Implementing a CICS Performance Monitoring Application Using the SAS System Ercument Ulguner source 17
SEUGI 1993 Using the SAS System for COSINOR Analysis of 24 Hour Ambulatory Blood Pressure Monitoring (ABPM) Data Roberto Ferrara source 13
SUGI 1993 180 Terrific Ideas for Using and Learning the SAS System Helen D. Carey,
Ginger Carey		 source 6
SUGI 1993 A Menu System Featuring SAS/QC Software for Monitoring Alpha Detector Performance Delano M. Splett source 3
SUGI 1993 A SAS Macro to Calculate Standard Errors for Proportions from Simple Random Sampling within Strata Wayne E. Johnson source 6
SUGI 1993 A SAS Macro to Perform Tests for Heterogeneity of Variances Robert D. Abelson source 3
SUGI 1993 A Simulation-Based Project For Experimental Design Based on SAS Software Michael Friendly source 8
SUGI 1993 A Tutorial on Logistic Regression Ying C. So source 6
SUGI 1993 Adding Convenience to the SAS System: One Site's Implementation Strategy Valerie Hilton source 6
SUGI 1993 Administering a Large, Long-Term Clinical Trial Requiring a Hierarchical Database Using the SAS System, Release 6.07 Mitchell Snyder,
Mark Goldberg,
Michal Benderly		 source 6
SUGI 1993 An Application of SAS Software in Auditing and Finance: Monetary Unit Sampling Pankaj Patel,
Laura G. Bacon		 source 6
SUGI 1993 An Automated System Using SAS Software for Tracking Radiological Environmental Monitoring Data for the San Onofre Nuclear Generating Station Ellen A. Curry source 8
SUGI 1993 An Environmental Database Using Character Data Storage Nat H. Wooding Jr. source 5
SUGI 1993 An Exact Confidence Interval for the Ratio of Means Using Nonlinear Regression Tapon Roy source 6
SUGI 1993 An Interactive SAS/AF System for Sample Size Calculation Deborah J. Matos source 6
SUGI 1993 Application of Conditional Logistic Regression Methods to Event History and Multiple-Choice Data Dan Steinberg source 4
SUGI 1993 Application of SAS Software in Analyzing Strategic Network System Output: A Case Study at a Leading Brokerage Firm Ashoke Bose source 6
SUGI 1993 Applications of the IML Procedure for Multiple Response Permutation Tests William D. Johnson,
Donald E. Mercante		 source 5
SUGI 1993 Bayesian Statistics in SAS Software William J. Raynor Jr. source 10
SUGI 1993 Biometrics Software: What Tools Have Pharmaceutical Biometricians Got in Their Kits? David J. Shannon source 6
SUGI 1993 Building Data-Driven Object-Oriented Applications: Selected Techniques Michael Gilman,
Donald J. Henderson,
Martha F. Johnson,
Merry G. Rabb,
David S. Septoff,
Norman Shusterman,
Gregory A. Smith,
Robina G. Thornton,
Philip H. Van Dusen,
C. Jessica Yuan		 source 8
SUGI 1993 Cars, Dogs, and Drivers: Working with Large "Public "Data Sets Joseph E. St. Sauver source
SUGI 1993 Computing and Plotting First-Order Spatial Autocorrelation Statistics Using SAS Larry J. Layne source 6
SUGI 1993 Creating Flexible Reporting Applications Using Si\SjAFSoftware Candy R. Habich source 5
SUGI 1993 Current and Future Developments for the SAS System under CMS Mary Fenno source 5
SUGI 1993 DATA Step Changes and Enhancements Jeffrey A. Polzin source 6
SUGI 1993 Developing Mainframe Applications in a PC Environment Steven J. First source 9
SUGI 1993 Developing User-Friendly Applications Using the sAs System for PCs Caroline C. Bahler source 6
SUGI 1993 Enhanced Support Services from SAS Institute's Technical Support Division Sally J. Painter source 3
SUGI 1993 Estimating Neural Network Nonparametric Production Functions Using SAS Software Daric L. Brummet,
Lawrence C. Marsh		 source 5
SUGI 1993 Experiences with a General SAS Macro for the Construction of Classification and Regression Trees Roland Brandmaier,
H. Ansari,
D. Dickson		 source 4
SUGI 1993 Forecasting Financial Performance for Long-Term Care Facilities with SAS Software William S. Calvert source 6
SUGI 1993 Forecasting Methods Mark Little source 13
SUGI 1993 Forecasting the Volatility of Financial Markets: ARCH/GARCH Models and the AUTOREG Procedure Minbo Kim source
SUGI 1993 Generating Confidence in the SAS System: Confidence Intervals for Commonly Used Procedures Jose Maria J. Alvir source 4
SUGI 1993 Generic Applications Development Using the SAS:Macro Language Christian M. Forster source 6
SUGI 1993 How to Implement a Graphical User Interface Using the SAS System, Release 6.06 under MVS (without Confusing Your Present Users) James D. Hefner source 10
SUGI 1993 Model Estimation with Inequality Constraints: A Bayesian Approach Using SAS/IMLSoftware Charles B. Hallahan source 7
SUGI 1993 MONOSEL: A SAS Macro for Model Selection in Linear Regression Analysis Victor Kamensky,
Ilya Muchnik		 source 6
SUGI 1993 MONTE-A Risk Analysis Program Richard H. Fleming source 6
SUGI 1993 Practical Econometric Analysis for Assessment of Real Property Using the SAS System on Personal Computers Shah Amal,
Robert Weselowski		 source 6
SUGI 1993 PROC REPORT: An Introduction to the Batch Language Ray Pass source 10
SUGI 1993 Putting the Pieces Together: Applying Advanced SAS Macro Techniques to Everyday Problems Jim C. Knoop source 7
SUGI 1993 Reliability of Biostatistical Data: A SAS Macro for the Calculation and Presentation of Some Commonly Employed Statistics Howard M. Proskin,
Albert Kingman,
William C. Murphy		 source 10
SUGI 1993 Sample Size versus Detection Probabilities of Off-Aim Drifts in Support or Quality Improvement: A SAS/GRAPH Application D. Mark Carpenter,
Cecil R. Hallum		 source 5
SUGI 1993 SAS Data Dictionary Tool Box Allan E. Williams,
Peter Dueber,
Lynette M. Browne		 source 5
SUGI 1993 SAS/ENGLISH Software: A User's Story Patrick J. Keating,
Kevin M. Rapp,
James V. Gigliotti,
H. John Maxwell,
Scott R. Hampton		 source 5
SUGI 1993 Sheet Product Conformance Reporting System L. Richard Woodyatt,
John A. McNamara		 source 8
SUGI 1993 Statistical Graphics in Environmental Regulatory Studies Larry R. Holden source 8
SUGI 1993 Statistical Procedures in Automated Cervical Cytology David L. Sherry source 4
SUGI 1993 Structured Systems Engineering and the SAS System: Godzilla Versus Megalon James E. Johnstone,
Stuart Leven		 source 10
SUGI 1993 The 20-Minute Installer-Using a Laptop to Distribute the SAS System for PCs John Zemba source 3
SUGI 1993 The MODECLUS Procedure: Nonparametric Significance Test, for Clusters Ann Kuo source 6
SUGI 1993 The SAS System in a Longitudinal Environmental Health Intervention Study with Repeated Monitoring WinKey Pan source 4
SUGI 1993 The Urge to Merge: A Computational Method for Linking Datasets With No Unique Identifier Joan Kessey,
Robert M. Bell,
Toni Richards		 source 6
SUGI 1993 The Version 6 SAS System Under VSE/ESA Paul Mortensen,
Catherine B. Corbett		 source 6
SUGI 1993 Using SAS/ACCESS Software with PC Files and Databases Forrest Boozer source 8
SUGI 1993 Using SAS/GRAPH Software to Create Unclassed Choropleth Maps Michael Swift,
Diane Nishri		 source 6
SUGI 1993 Using SAS/IML for Multiyear Rotation Design Sampling and Estimation in Agricultural Surveys Yillian Yuan,
Raj S. Chhikara,
Lih-Yuan Deng		 source 6
SUGI 1993 Using SCL to Build Portable UNIX Applications Thomas C. Edds source 8
SUGI 1993 Why We Replaced DB2 Software with SAS Software as a Relational DBMS for a 30-Gigabyte User Information System Stephen C. Scott source 10
SESUG 1993 A Massively Parallel Accelerator for the SAS System at the Census Bureau Jon Michael Fortier,
Douglas Burns		 4
SESUG 1993 Auto-Editing: A Data Management Tool for Research William S. Calvert 6
SESUG 1993 Building Data-Driven Object-Oriented Applications: Selected Techniques SAS Institute (a company),
Michael Gilman,
Donald J. Henderson,
Martha F. Johnson,
Merry G. Rabb,
David S. Septoff,
Norman Shusterman,
Gregory A. Smith,
Robina G. Thornton,
Philip H. Van Dusen,
C. Jessica Yuan		 8
SESUG 1993 Combined Ratio Estimates Computed with SAS Joan M. Pausche 6
SESUG 1993 Developing an In-House SAS Training Program for an Academic Environment Barbara B. Okerson 5
SESUG 1993 It Frequently Makes Sense to Use Weights Christopher Toppe 6
SESUG 1993 Manipulating Large Highway and Crash Datasets Elizabeth G. Hamilton,
Carolyn D. Williams		 6
SESUG 1993 New SAS Modules for Practical Power Analysis Dan Bowling,
Ralph G. O'Brien		 9
SESUG 1993 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
SESUG 1993 SAS/ACCESS Techniques for Large DB2 Databases Craig James Gavin 7
SESUG 1993 The Role of the SAS Software Consultant William G. LeBlanc 8
SESUG 1993 Using SAS to Analyze Survey Results Stacey G. Brlcka 4
SESUG 1993 Using SASIETS Software for Analysis of Pharmacokinetic Data Gary S. Klonicki 8
SESUG 1993 VRANGE: Deriving A Minimal FORMAT from a Numeric Variable's Range of Values Andy Barnett,
CUnical Trials Support		 5
SCSUG 1992 A Talk on SQL Paul Kent 12
SCSUG 1992 Adding Convenience to the SAS System: One Site's Implementation System Valerie D. Hilton 12
SCSUG 1992 Building Data-Driven Object-Oriented Applications: Selected Techniques SAS Institute (a company),
Michael Gilman,
Donald J. Henderson,
Martha F. Johnson,
Merry G. Rabb,
David S. Septoff,
Norman Shusterman,
Gregory A. Smith,
Robina G. Thornton,
Philip H. Van Dusen,
C. Jessica Yuan		 7
SCSUG 1992 How to Implement a Graphical User Interface Using SAS 6.06 Under MVS/TSO, and the Reasons for Doing So (... Without Confusing Your Present Users) James D. Hefner 30
SCSUG 1992 Productivity Tool Created for Tax System Conversion Using BASE SAS Software 's MACRO Facility Clarence W. Jackson 10
SCSUG 1992 SAS/AF Application in Determining Sample Size Zhongmin Li 7
SCSUG 1992 The SAS System Supervisor - A Version 6 Update Merry G. Rabb,
Donald J. Henderson,
Jeffrey A. Polzin		 8
SCSUG 1992 Using of SAS Software to Manage Chemical Plant Laboratory Results Conrad Reynolds 4
NESUG 1992 A SAS Program for Determing Distribution-Free Confidence Intervals for Medians Willard Carl Losinger 4
NESUG 1992 Automatic Update of Date-Related Titles and Labels for Programs Executed on a Monthly Basis Helen-Jean Talbott 4
NESUG 1992 Building Data Driven Applications Using the SAS System: Selected Techniques David S. Septoff 7
NESUG 1992 Creating Organizational Charts with SAS and XEDIT Robert Lillich 4
NESUG 1992 Manipulating Large Highway and Crash Datasets Elizabeth G. Hamilton,
Carolyn Williams		 6
NESUG 1992 More Complex Data Structures in SAS Macro: Modeling Arrays of Records Irene Mendelson 6
NESUG 1992 More on Business Forecasting With SAS Jeffrey Jarrett 5
NESUG 1992 Obtaining P-Values for Clinical Research Efficacy Reports Denis Michel 6
NESUG 1992 Principles of Logistic Regression in Radiation Oncology J. Efird,
F. Pardo,
P. Okunieff,
D. Shoenfeld,
H. Aronen		 10
NESUG 1992 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
NESUG 1992 Restructuring Data Sets Using Arrays of the TRANSPOSE Procedure Paula B. Podolnick 6
NESUG 1992 SAS Problem-Solving Looks East Hallett German 4
NESUG 1992 SAS System Supervison - A Version 6 Update Merry G. Rabb,
Donald J. Henderson,
Jeffrey Polzin		 8
NESUG 1992 The Full Power of Screen Control Language in Your Interactive Application Daryl R. Hoffman 5
NESUG 1992 Using SAS Character and List Functions to Extend the SAS Systems: Macro-Programming of Useful Functions Sigurd W. Hermansen 8
NESUG 1992 Using SAS to Create Secondary Merge Files for Wordperfect 5.1 Charles A. DePascale,
Jim H. Jagielski		 2
MWSUG 1992 A Monte Carlo Evaluation of the Rank Transformation for Cross-Over Trials George W. Pasdirtz 6
MWSUG 1992 Accessing the SAS Usage Notes and Zaps Over Bitnet Barry W. Grau 5
MWSUG 1992 DATA Step Changes and Enhancements Jeffrey A. Polzin 6
MWSUG 1992 DATA Step Views Jeffrey A. Polzin 6
MWSUG 1992 Developing County Profiles using PROC SQL Arlene Slocum 6
MWSUG 1992 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
MWSUG 1992 The DynaLink System David Sommer,
David Goossen,
Andrew M. Traldi		 6
MWSUG 1992 The Evolving Role of the SAS System in the Development of the Production System for the Consumer Price Index (CPI) James E. Johnstone,
Stuart Leven		 10
MWSUG 1992 The SAS System Enters the Third Dimension Using DATA Step Views for Real-time Quality Control Jeffrey A. Polzin,
Robert N. Rodriguez,
James F. Sattler		 5
MWSUG 1992 Totally R.A.D. With SAS Screen Control Language Robert W. Simmons 9
MWSUG 1992 Using Public-Use Microdata Samples With SAS Warren A. Brown,
Lisa King		 5
MWSUG 1992 Using SAS Macro Facilities to Simplify A Large Multi-Event Statistical Analysis Douglas P. DeYoung 6
SEUGI 1992 A SAS/AF Application for Data Samples Analysis Gianni Grippa source 11
SEUGI 1992 An Application Using the SAS System to Perform Williams' Test in Toxicity Studies Paolo Fina source 9
SEUGI 1992 Comparing Splines and Kriging Using SAS/GRAPH Software as an Agronomical Application A. Castrignano,
F. Caspalino,
L. Romito,
V. Zupa		 source 11
SEUGI 1992 DATA Step Changes and Enhancements Bent Sorenson source 6
SEUGI 1992 DATA Step Views Isolde Schell-Haungs source 6
SEUGI 1992 Experiences from Using the SAS System in a Large Consumption Simulation Study Timo Alanko source 11
SEUGI 1992 SAS Macros for Exact Methods in Nonparametrical Statistics Thomas Bregenzer source 12
SEUGI 1992 Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models John Hendrickx source 22
SEUGI 1992 Using SAS/IML for Advanced Statistical Needs, With an Example on Credit Scorecard Building Lynne Pritchard,
Paul Chik		 source 10
SUGI 1992 A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data George W. Pasdirtz source 6
SUGI 1992 A SAS Program to Compute Factors for One-Sided Tolerance Limits for a Normal Distribution Susan Portugal source 4
SUGI 1992 A SAS Program to Create Output Files Used for a Randomization Code Distribution Procedure Joseph M. O'Connor,
Ute E. Schwiderski,
Joseph J. Andary		 source 5
SUGI 1992 A SAS Window Application for Generating Follow-up Clinic Schedules and Monitoring Accrual in a VA Cooperative Study Joan Derrico source 6
SUGI 1992 A SAS/IML Program to Simulate Data with Nonnormal Distributions Chih-Ping Chou,
Shinn-Tzong Wu		 source 3
SUGI 1992 A Simulation Study of Estimators for Rates of Changes in Longitudinal Studies with Attrition Fong Wang,
Mary Lange		 source 6
SUGI 1992 A Supplemental SAS Function for Computing Moving Average Shi-Tao Yeh source 3
SUGI 1992 An Interactive SAS/AF System for Assessing Bioequivalence Deborah Dukovic source 6
SUGI 1992 Analysis of Incomplete Categorical Repeated Measures Charles S. Davis source 6
SUGI 1992 Automatic Documentation of COBOL Systems John D. Smith source 6
SUGI 1992 Automatic Documentation: Using SAS Software to Create the Data Dictionary, Data Structure, and Process Flow Tables Arthur L. Carpenter source 6
SUGI 1992 Bootstrap Estimation of the Variance of Percentile Regression Parameters Michael L. Smith,
George Howard,
Gregory W. Evans		 source 9
SUGI 1992 Building Data-Driven Applications Using the SAS Applications System: Selected Techniques Donald J. Henderson,
Martha F. Johnson,
Merry G. Rabb,
David S. Septoff,
Norman Shusterman,
Gregory A. Smith,
Robina G. Thornton,
Philip H. Van Dusen,
C. Jessica Yuan		 source 7
SUGI 1992 Data Set Manipulation with Screen Control Language (SCL) Marge Scerbo source 8
SUGI 1992 Departmental Automation Using Release 6.06 of the SAS System Michael Sternberg,
Peter Yribar		 source 6
SUGI 1992 Development of the RELIABILITY Procedure Using SAS/TOOLKIT "Software Shobha Choudhari,
Chintamani Sahoo		 source 6
SUGI 1992 Do We Always Need Clinical Stratification in Multicenter Clinical Trials? Results of a Simulation Study Roland Brandmaier,
U. Aydemir,
H. Ansari,
J. Hasford		 source 6
SUGI 1992 Essential SAS Software for Engineers William D. Kahn,
Diccon R. E. Bancroft		 source 10
SUGI 1992 Evaluating Export Marketing Decisions Using Cluster Analysis and Correspondence Analysis Marcus Schmidt,
Jesper Strandskov,
Gerald Albaum		 source 5
SUGI 1992 Extending the SAS System's Statistical Capabilities with SAS/IML Software Charles B. Hallahan source 10
SUGI 1992 Getting It and Keeping It with SAS Software-Advanced Strategies Sally M. Muller,
Kenneth A. Hardy,
Keith J. Brown		 source 7
SUGI 1992 Graphical Methods for Categorical Data Michael Friendly source 7
SUGI 1992 Increasing Corporate Productivity with Decreasing Training Dollars Jean Ussery,
Bonnie Allen		 source 4
SUGI 1992 INSIGHT into Multiple Regression Robert A. Muenchen source 4
SUGI 1992 Interactive Data Analysis Strategies Alvin M. Best III source 6
SUGI 1992 Linear Time Lines: A Visual Summary of Critical Patient Data Tenya Marie Economou,
Pamela M. Hartigan		 source 6
SUGI 1992 Multicriteria Decision Making with SAS Software Mary G. Crissey source 7
SUGI 1992 Multivariate Inequality Hypostheses Using SAS/IML Software Dan Jacobs,
Estelle Russek-Cohen		 source 4
SUGI 1992 Ordination and Display of Multivariate Data E. Barry Moser source 10
SUGI 1992 Pharmacokinetic Statistical Analysis System - A SAS/AF and SAS/FSP Application Sharon Passe,
Andrea L. Contino		 source 6
SUGI 1992 POWER: A Simple Macro for Power and Sample Size Calculations Kristin Latour source 5
SUGI 1992 Proportional Hazards Analysis of Left-truncated Survival Data Dennis Heisey source 6
SUGI 1992 Quality Sciences at Delco Electronics Corporation Bruce McLean source 3
SUGI 1992 SAMP/AID - Sampling Applications and Demonstrations in Learning Statistics Efraim Darom source 5
SUGI 1992 SAS Classes for Nonprogrammers in the Clinical Data Management World Susan V. Hale source 4
SUGI 1992 Statistical Simulations Using the CALIS Procedure David P. MacKinnon source 5
SUGI 1992 Testing the Rationality of Panel Data Forecasts Using a GMM Estimator Richard H. Cohen source 6
SUGI 1992 The DynaLink System David Sommer,
David Goossen,
Andrew M. Traldi		 source 6
SUGI 1992 The Estimation of Drug Shelf-Life Jyh-Shiun Lin,
Shein-Chung Chow		 source 6
SUGI 1992 The Evolving Role of the SAS System in the Development of the Production System for the Consumer Price Index (CPI) James E. Johnstone,
Stuart Leven		 source 10
SUGI 1992 The REPORT Procedure: An Introduction to the Batch Language Ray Pass source 10
SUGI 1992 The SAS System Enters the Third Dimension Using DATA Step Views for Real-time Quality Control Jeffrey A. Polzin,
Robert N. Rodriguez,
James F. Sattler		 source 5
SUGI 1992 The SAS System Supervisor - A Version 6 Update Merry G. Rabb,
Donald J. Henderson,
Jeffrey A. Polzin		 source 8
SUGI 1992 The Use of Logit Analysis: Pitfalls and SAS Tips William Chan source 3
SUGI 1992 Twin Studies: Now That I Have Your Attention, or How One Users Group Kept Its Crowd After Lunch Lynne A. Davidson source 5
SUGI 1992 Using SAS Software to Evaluate the Power of Alternative Data Analytic Methods for Repeated Measures Designs Thomas C. Chenier source 6
SUGI 1992 Using Task Broker to Enhance SAS Batch Processing in a UNIX Environment Lori Goss source 7
SUGI 1992 Using TeX to Format SAS DATA Step Reports Joseph E. St. Sauver source
SCSUG 1991 A Variable Selection Algorithm for Quadratic Discriminant Analysis Samuel L. Seaman,
Dean M. Young		 4
SCSUG 1991 Analyzing Repeated Measures Designs: What You Don't Know CAN Hurt You Richard W. Cole 12
SCSUG 1991 Calculating the Power Function of the Wilcoxon Rank Sum Test in 2xK Tables Mark Von Tress 7
SCSUG 1991 Confidence Intervals for Bionomial Distributions Using SAS Graphics and PROBBNML Alan Davis 7
SCSUG 1991 Evaluating Efficiency Techniques Used in the Processing of Large Data Files Alfred W. Ey 17
NESUG 1991 Efficient Use of SAS Institute's Technical Support Mason B. Nichols,
Sally J. Painter		 3
NESUG 1991 Macros for User-Friendly Systems Robert Virgile 8
NESUG 1991 Tests for Normality and Other Goodness-of-Fit Tests Ralph D'Agostino Jr.,
Albert J. Belanger		 7
NESUG 1991 Using SAS Procedures as Data Checking Tools Paula B. Podolnick 5
MWSUG 1991 A SAS-based System for Generating Complex Tabular Reports James Struthers 6
MWSUG 1991 Boostrapping the Kaplan-Meier Difference Equation George W. Pasdirtz 6
MWSUG 1991 Consumer Demand Preference Patterns: Using PROC IML to Forecast Future Demand Daric Brummett,
Lawrence C. Marsh		 5
MWSUG 1991 Effectively Using the SAS System for Survey Research Kim L. Kolbe 5
MWSUG 1991 Efficient Use of SAS Institute's Technical Support Sally Painter,
Mason B. Nichols		 3
MWSUG 1991 Installing PC SAS - One on One Bud J. Meador 5
MWSUG 1991 Macros for User-Friendly Systems Bob Virgile 8
MWSUG 1991 Monte Carlo Analysis of Change Scores David J. Mangen 6
MWSUG 1991 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
MWSUG 1991 SAS Efficiency Techniques Steven J. First,
Kim L. Kolbe		 10
MWSUG 1991 The Use of SAS for Developing a Common and Clonable Environment in Support of Research Applications Priscilla Van Grevenhof,
Christopher Chute,
David Ballard		 5
MWSUG 1991 Using Analysis of Variance to Analyze Toxicology Data Peggy T. Konopacki,
George W. Pasdirtz		 6
MWSUG 1991 Using SAS to Process TIGER Line Files John G. Blodgett 6
MWSUG 1991 Using the Annotate Facility with Maps: A Tutorial Gary F. Plazyk 9
SEUGI 1991 A Graphical Demonstration of Statistical Concepts Marlies Lacante source 13
SEUGI 1991 Attributable Risk Estimation Using SAS/STAT Software Olaf Gefellar source 8
SEUGI 1991 Exploiting the Hyper-Text Functions in SASAF Software CBT Screens Henrik Dorf source 8
SEUGI 1991 Future Directions of Statistical Software with the SAS System David M. DeLong source 20
SEUGI 1991 Introducing SAS/ASSIST like IC1 Jean-Louis Dubois source 11
SEUGI 1991 Method of Exact Samples for Testing Statistical Packages Ene-Margit Tiit,
M. Viil,
S. Koskel		 source 5
SEUGI 1991 One Year's Experience with the SAS System in the Hungarian Central Statistical Office Eva Papp,
Zsuzsanna Keki		 source 4
SEUGI 1991 Probability Density Distribution of Airborne Pollen Grains Danilo Manco,
P. Mandrioli,
S. Corsi,
T. Tirabassi		 source 12
SEUGI 1991 Simulation Methods Based on the SAS System Karin Schlauss,
Paul Muller		 source 12
SEUGI 1991 Some New Features in the DATA STEP Sarah Bell source 7
SEUGI 1991 The SAS System - Meeting Boeing's Quality Challenge Patrick Durkin source 8
SUGI 1991 A CMS-based, Multi-User Planning System for Clinical Data using SAS/AF and SAS/FSP Software Thomas E. Schneider,
Mary Catherine Krug		 source 8
SUGI 1991 A Factor Analysis of Employee Attitudes about the Internal Operational and Administrative Characteristics of a City Government Anthony C. Waclawski source 8
SUGI 1991 A Macro for Multivariate Statistical Process Control Meng-Koon Chua source 5
SUGI 1991 A Macro to Create a SAS Data Set Containing Commonly Reported Statistics for the Analysis of Multiple 2 x 2 Tables Suzanne Edwards,
John Henry King,
Gary G. Koch		 source 4
SUGI 1991 A Procedure for Deciding Which Treatments to Accept in a Screening Study Involving Pseudo-Bernoulli Data Ralph A. DeMasi,
Dana Quade		 source 7
SUGI 1991 A Reasonably Comprehensive Test of SAS Programming Skills Standish Sibley source 5
SUGI 1991 A SAS Program for Calculating and Displaying Regression Lines in Two-Way ANCOVA Models with Unequal Slopes Joseph J. Andary source 5
SUGI 1991 A SAS Program for Choosing Random Unblocked Designs Balanced for Correlation between Neighbors I.J. Good,
Eric P. Smith,
David D. Morris		 source 5
SUGI 1991 About JMP 2.0 John P. Sall,
Katherine Ng,
Michael Hecht,
Ann Lehman		 source 6
SUGI 1991 An Insider's Sneak Preview of the Next DATA Step Release Jeffrey A. Polzin source 7
SUGI 1991 Analysis of 2 x 2 Cross-over Trials Using an Integrated Macro Package Harvie Chang,
Tamara R. Strang		 source 6
SUGI 1991 Analysis of Paired Categorical Data Using McNemar's Test and Bowker's Test Jaye Lynne Thompson source 7
SUGI 1991 Analysis of Sparse Repeated Categorical Measurement Data Alan Agresti,
Stuart Lipsitz,
Joseph B. Lang		 source 9
SUGI 1991 Analyzing Product Test Data in a Relational Database Using SAS Software John L. Orman source 6
SUGI 1991 Automated Generation of Statistical Tables: Integration of Structured Programming and SAS Macros Lee-Hwa Jane,
Maureen McCormick		 source 5
SUGI 1991 Building a VM Print Accounting System with Base SAS Software Orion V. Hanger source 7
SUGI 1991 Building and Submitting Jobs Using TSO and the SAS System Jody J. Fromer source 2
SUGI 1991 Comparison of Mainframe Hardcopy Devices Compatible with SAS/GRAPH Software LeRoy Bessler source 4
SUGI 1991 Database Validation: A Random-Sample Audit Procedure Bruce Wentworth,
James M. Harper,
Barbara A. Costantini,
David A. Bennett		 source 4
SUGI 1991 DB2 Performance Management Donald T. Gantz,
James M. Thompson		 source 10
SUGI 1991 Decision Tables as SAS Analysis and Programming Tools Anne M. Asher,
Todd Peer,
Elizabeth F. Henrickson		 source 6
SUGI 1991 Exact Confidence Intervals for Estimating Proportions When Sampling from a Finite Population How J. Tsao,
Steven M. LaLonde		 source 5
SUGI 1991 Implementation in the SAS System of the Bradu and Mundlak Minimum Variance Unbiased Estimator of the Mean of a Lognormal Distribution Sally Powell source 5
SUGI 1991 Incorporating Adjustment into Sample Data Products Willard Carl Losinger,
Alfredo Navarro		 source 6
SUGI 1991 Installing the SAS System for Personal Computers Randolph S. Williams source 7
SUGI 1991 Introduction to Hypothesis Testing Using the Normal Distribution, the t-Test and the SAS System Arthur L. Carpenter source 5
SUGI 1991 Power Analysis and Instructional Monte Carlo Simulations Richard W. Cole source 4
SUGI 1991 Psychometric Applications with Optical Scanning and Analysis W. J. Klein,
Gordon Emslie		 source 5
SUGI 1991 Regression on Medians of Probability Distributions Martha R. Sumler,
Henry L. Fisher,
Larry L. Hall		 source 6
SUGI 1991 Repeated Generation of Random Samples to Simulate a Larger Sample Using Arrays and Macro Variables Angie C. Wang source 3
SUGI 1991 Ridge Regression from Correlation Matrix Input Lawrence Hotchkiss,
John R. Gerlach		 source 6
SUGI 1991 Running Release 6.07 of the SAS System under UNIX Operating Systems Alissa Schleich,
Renee Ray		 source 3
SUGI 1991 SAS Report Writing in an HMO Claims Database Environment for Utilization Review Lynn M. Thome,
David Olagunju		 source 6
SUGI 1991 SAS Software Puzzles '91: The Debugging Continues Warren Repole Jr. source 7
SUGI 1991 Selecting Vendor-Produced Training Jean Ussery source 5
SUGI 1991 Software Reliability Measurement: A SAS Application James A. McKenzie source 3
SUGI 1991 Statistical Graphics for Multivariate Data Michael Friendly source 6
SUGI 1991 Subsetting and Ranking Data Using the DISCRIM Procedure Kevin M. Smith source 4
SUGI 1991 Techniques for Assessing Differential Item Performance on Achievement Tests Delwyn L. Harnisch source 6
SUGI 1991 Techniques for Improving Coding and Processing Efficiency in the DATA Step Herbert C. Reynolds,
Thomas Jacob		 source 4
SUGI 1991 The Delights and Plights of a SAS Users Group: One Analyst's Story Erleen Arata Duhon source 3
SUGI 1991 The Pair Chart Macro: A Simple Graphical Representation of the Two-Sample Problem Michael Riggs,
Janna Harris,
Dana Quade		 source 6
SUGI 1991 The SAS System - A Full-Featured Utility and Language for Programmers Steven J. First source
SUGI 1991 The SAS System Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 source
SUGI 1991 The TPSTAT System for the Analysis and Reporting of Toxicology and Pathology Data and Its Implementation under Version 6 of the SAS Software Murray R. Selwyn,
Peter P. Gaccione,
Scott E. Moseley,
Virginia M. Ashe		 source 6
SUGI 1991 Uses of SAS Software for Implementation of SPC on Continuous Processes Robert V. Baxley Jr. source 7
SUGI 1991 Using Hypertext for Online Information Needs in Data Entry Applications Duane E. Ressler,
Dee Stribling		 source 6
SUGI 1991 Using SAS Software as a Programming Language to Develop Generalized Systems Barbara M. Ison,
Dania P. Ferguson		 source 5
SUGI 1991 Using SAS Software to Report Mainframe Utilization and Performance Daniel E. Lodter source 6
SUGI 1991 Using SAS/GRAPH Software to Create Trees that Model Developmental Biological Phenomena Perry Watts,
Samuel Litwin		 source 6
SUGI 1991 Using SAS/IML Software to Forecast Corn and Soybean Yields Thomas R. Birkett source 4
SUGI 1991 Variable Format Report Generator Joy Y. S. Jair,
Rex C. T. Wu		 source 7
SUGI 1991 Version 6 of the SAS System under VSE: You Have to See It to Believe It Catherine B. Corbett source 7
SUGI 1991 Why Be Normal? Constructing SAS Based Tools to Facilitate Database Design Peter Kretzman source 7
NESUG 1990 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 9
NESUG 1990 Exact Nonparametric Inference: Theory, Applciations and Software Cyrus R. Mehta 16
NESUG 1990 Handling Data Exclusions in a Clinical Trials DBMS Thomas R. Hoffman 10
NESUG 1990 Sample Selection Using the RANNUNI Function Jimmy Thomas Efird 5
NESUG 1990 Solving Business Needs as a Team Roger L. Crouce 7
NESUG 1990 The SAS Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 11
NESUG 1990 Understanding PROC UNIVARIATE Statistics Wendell F. Refior 5
MWSUG 1990 A Demonstration of the Utility of SAS in Creating Examples to Aid in the Teaching of Statistical Concepts Earnest Davenport 9
MWSUG 1990 Monte Carlo Analysis of Change Scores David J. Mangen 14
MWSUG 1990 The Pair Chart Macro: A quick Graphical Representation of the Two-Sample Problem Michael Riggs 10
MWSUG 1990 The SAS Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 10
MWSUG 1990 The SAS System - A Full-Featured Utility and Language for Programmers Steven J. First 12
SEUGI 1990 Are You in the Dark about Network Performance Phil Rutherford source 13
SEUGI 1990 CITIDMSP - Citibank's Direct Marketing Software Package Akos Felsovalyi source 12
SEUGI 1990 Effective Use of SAS/CONNECT Software Cheryl A. Garner source 9
SEUGI 1990 Estimating Distribution Functions with the SAS System J. Hefner,
Werner Bundschuh		 source 16
SEUGI 1990 Handling of Open-Ended Questions Using the SAS System B. M. Christensen source 12
SEUGI 1990 Performing Conjoint Analysis Using Proc Transreg Bjarne Nielsen,
Marcus Schmidt		 source 6
SEUGI 1990 RV Coefficient and Principal Component Analysis of Instrumental Variables Using SAS/IML Software Pascal Schlich source 8
SEUGI 1990 Statistical Simulation with the SAS System Gerd Antes source 7
SEUGI 1990 Stratified Random Sampling from Finite Distribution for Continous Variables Karl Bousek source 13
SEUGI 1990 The Analysis of Multiple Endpoints in Clinical Trials Lars Frison source 8
SUGI 1990 &&&&&&&&&&SAS - Resolving This and Other SAS Code Challenges Warren Repole Jr.,
Michael C. Hein,
Veronica Fasullo,
Kita Garrido		 source 5
SUGI 1990 A Hierarchical Database Engine for Version 6 of the SAS' System Barbara A. Barrett source 6
SUGI 1990 A Methodology for Computer Performance Evaluation in the Apollo Domain/OS Environment Robert N. Bonham source 13
SUGI 1990 A Multisite Data Collection and Analysis System Based on the SAS System Raymond L. Ransom,
Allen W. Hightower,
Brian D. Plikaytis		 source 7
SUGI 1990 A SAS Macro for the Box-Cox Transformation: Estimation and Testing Charles B. Hallahan source 6
SUGI 1990 An Interactive Front End for a Data Editing Procedure Using SAS Windows Lawrence R. Catlett,
Lance W. Cameron		 source 4
SUGI 1990 Andrews Function Control Chart for Bivariate Quality Control Meng-Koon Chua,
Mark Reiser		 source 5
SUGI 1990 Basic Text Handling with the DATA Step John D. Smith source 6
SUGI 1990 Best Presentation of Data-Monochrome Vincent G. Iannacchione source 4
SUGI 1990 Calculating the Jonckheere-Terpstra Test Statistic Using the SAS System under VMS. . Steven Bailey source 4
SUGI 1990 Confidence Intervals and Curvature Measures in Nonlinear Regression Using the IML and NLIN Procedures in SAS Software Danny L. Kugler,
E. Henry Lee		 source 6
SUGI 1990 Conquering the Dreaded Macro Error Katie A. Hubbell source 7
SUGI 1990 Creating PMENUs for Application Windows Holly Whittle source 5
SUGI 1990 Data Management Procedures for Large and Small Projects Juliana M. Ma source 6
SUGI 1990 Determining Sample Sizes Needed to Achieve the Specified Confidence Levels - Binomial Distribution Approach Shi-Tao Yeh source 4
SUGI 1990 Efficient Use of SAS Institute's Technical Support Sally J. Painter source 3
SUGI 1990 Estimating Standard Errors for a Proposed Survey Samuel M. Slowinski,
Hank Leddon		 source 6
SUGI 1990 How to Get the Most Out of Your SYSTEM 2000 Data Management Software David W. Pitts,
Roy D. Vance		 source 5
SUGI 1990 How to Stop a Simulation Michael A. Greene,
Gretchen K. Jones		 source 6
SUGI 1990 Hypotheses and Sample Size for Showing Equivalence James J. Ashton source 5
SUGI 1990 Importing Data from External Files to NeoVisuals Software James Richard Hagen source 7
SUGI 1990 Integrating Graphics into a Document Using SAS/GRAPH Software and WordPerfect 5.0 Anne C. Neale,
John E. Teberg,
Brian N. Cordova		 source 5
SUGI 1990 Interactive Random Sampling Ashok Mehta,
Paul H. Bern		 source 3
SUGI 1990 Interfacing Normalized Relational Database Structures with SAS Software James R. Johnson,
Roger D. Cornejo		 source 8
SUGI 1990 JMP Tutoria! John P. Sall source 8
SUGI 1990 Managing a Multi-vendor DBMS Environment with the SAS' System Tim Feetham source 4
SUGI 1990 Nonparametric Estimates and Confidence Intervals for the Medians and Difference in Medians Between Two Treatment Groups Rodney Wong,
Reiling Lee		 source 5
SUGI 1990 Nonsymmetric Bootstrap Confidence Intervals Using SAS/IML Software on a PC George W. Pasdirtz source 4
SUGI 1990 Performance of Multiple Comparisons in Repeated Measures Designs under Nonsphericity Steven F. Thomson source 6
SUGI 1990 Real Men Do Use Menus: Developing Applications with SAS/AF Software Kenneth E. Johnson source 9
SUGI 1990 Rod Mill Billet Surface Quality Reporting System John A. McNamara,
L. Richard Woodyatt		 source 8
SUGI 1990 Segmenting the Tourist Market Using Factor Analysis and Cluster Analysis Marcus Schmidt,
Hans Merser		 source 6
SUGI 1990 Software Tools for Processing U.S. Census Bureau TIGER Line Files John G. Blodgett,
John McIntyre		 source 5
SUGI 1990 Solving Business Needs as a Team Roger L. Crouse source 6
SUGI 1990 The Bootstrap and Jackknife Estimates of Variance: Two Resampling Techniques Using Release 6.03 of SAS/IML Software Margaret G. Hirsch,
Tamara R. Fischell		 source 5
SUGI 1990 The Calculation of Average Run Length for a Nonparametric CUSUM Procedure Dennis W. King,
Michael T. Longnecker		 source 7
SUGI 1990 The Distribution of Cronbach's Coefficient Alpha from the CORR Procedure of SAS Software Andrew J. Cucchiara,
Susan J. Kenny,
J. Paul Costiloe		 source 6
SUGI 1990 The Distribution of the SAS System for PCs via a Mainframe Computer William G. LeBlanc source 6
SUGI 1990 The SAS Supervisor - A Version 6 Update Donald J. Henderson,
Merry G. Rabb,
Jeffrey A. Polzin		 source 9
SUGI 1990 The SAS System - A Full-Featured Utility and Language for Programmers Steven J. First source 10
SUGI 1990 Unbiased Estimators of Shrinkage for Chi-Square Based Measures of Association Richard F. Haase source 6
SUGI 1990 Using a SAS/AF Application to Calculate the Power of a Statistical Test John F. Schneider,
Robert A. McLean,
William L. Sanders		 source 6
SUGI 1990 Using the DBLOAD Procedure to Create and Populate SYSTEM 2000' Data Management Software Databases David W. Pitts,
Kim D. Hiserote		 source 4
SUGI 1990 Using the GSLIDE Procedure to Produce Data Collection Forms Mark E. Rubey,
Shirley H. Waters		 source 5
SUGI 1990 Using the SAS System on a Microvax for a Computer Assisted Interviewing System Veronica Fasullo,
Thomas Trumble		 source 4
SUGI 1990 Using the SAS System to Prepare Hospital Inpatient Claims Data for Case-Mix Analyses Daniel R. Bretheim source 8
SUGI 1990 Using the Version 6 SAS System with Your Operating System: Helpful Information Sources for Your Host Environment Dea Zullo,
Dee Stribling		 source 7
SUGI 1990 Using Variance Components and Confidence Contours to Estimate Numbers of Primary and Secondary Sampling Units Andrew G. Stead source 5
NESUG 1989 Computer Performance Evaluation for Mainframes and Mini-computers Christy Garrison 12
NESUG 1989 Conquering the Dreaded Macro Error Katie A. Hubbell 9
NESUG 1989 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 6
NESUG 1989 Efficient Processing of Large Datasets Howard Levine 10
NESUG 1989 SAS in the Insurance Office: 6 Ways to Present Data David S. Rubin 14
NESUG 1989 SAS Macros and a SAS/AF Menu System for Reading COMPUSTAT Files Christian Vye,
Craig Dickstein		 6
NESUG 1989 Sequential Sampling Techniques and Weighted Analysis Wendell F. Refior 7
NESUG 1989 The Right Approach to Learning PROC TABULATE Bob Virgile 9
SEUGI 1989 A Bioassay Method Using SAS/STAT Software C. M Fenton,
P. Blood		 source 12
SEUGI 1989 A SAS Procedure For Evaluating Inulin Clearance Data Norbert Gretz source 10
SEUGI 1989 A SAS/IML Program For Generalised Procrustes Analysis Pascal Schlich source 9
SEUGI 1989 An Application Using SAS/QC Software At Alcoa Laboratories Linda W. Blazek source 18
SEUGI 1989 An Information System For All SAS Users Paul Czembor source 5
SEUGI 1989 Exact Distribution For 2-Sample-Permutation- And Ranktests Using The Streitberg-Röhmel-Algorithm And SAS/IML Software Heidi Voss 10
SEUGI 1989 Goodness Of Fit Tests And Goodness Of Homogeneity Tests With The SAS System C. Derquenne source 11
SEUGI 1989 Graphical Analysis Of Regional Blood Flow Distribution By Means Of Probability Density Functions Rudolf Schosser source 8
SEUGI 1989 Graphical Analysis Of Regional Blood Flow Distribution By Means Of Pseudocolor Organ Maps Rudolf Schosser source 9
SEUGI 1989 Metaanalysis Objectives And Methods Jean-Claude Peyrieux source 6
SEUGI 1989 MXG And SAS/CPE Starter Set Update For MVS Susan Marshall source 2
SEUGI 1989 Realization Of Approximative And Exact Nonparametric Statistics In SAS/IML Software Siegfried Freytag source 10
SEUGI 1989 Sample Size For Two-Stage Designs In Phase II Clinical Trials Alfredo Ardia source 6
SEUGI 1989 Understanding And Using SAS/CPE Software For VMS Thomas J. R. Emmerich source 6
SEUGI 1989 Using The New SQL Procedure In SAS Programs Paul Kent source 6
SUGI 1989 A Class of Highly Efficient Resistant and Robust Estimators for Simple Linear Regression for Use with the SAS System Evelyn A. Adler source 6
SUGI 1989 A Generalized Editing Procedure for Questionnaire-based Data Using the SAS System Lance W. Cameron,
Lawrence R. Catlett		 source 7
SUGI 1989 A Hematology Laboratory System Using the SAS System for PCs Joel F. Achtenberg,
Pilar Casanova		 source 4
SUGI 1989 A PC Interactive Menu-driven System: Integrating the SAS for Personal Computers with dBASE III PLUS' and DOS Batch Files Tenya Marie Economou source 7
SUGI 1989 A Procedure for the Analysis of Multivariate Binomial Data with Adjustments for Multiplicity Youling Lin,
Peter H. Westfall,
S. Stanley Young		 source 8
SUGI 1989 A SAS/IML Matrix Program to Estimate Indirect Effects and Their Standard Errors David P. MacKinnon,
Eric Yu I. Wang		 source 6
SUGI 1989 A Survey of Table Lookup Techniques for the SAS System James E. Johnstone,
Craig K. Ray		 source
SUGI 1989 A System Approach for the Storage and Retrieval of Information in Clinical Trials Bee-Lian Chen,
Patricia A. Majcher		 source 4
SUGI 1989 A Test Scoring Procedure Using the SAS System Jean Hardy,
Charles Vachon		 source 3
SUGI 1989 A Workload Characterization Tutorial for Online Systems Ellen M. Friedman source 10
SUGI 1989 ADVANCS: An Automated Data Validation and Correction System Jessica Bondy,
Dennis C. Lezotte,
Julie A. Marshall		 source 5
SUGI 1989 An Application Using SAS/QC Software At Alcoa Laboratories Linda W. Blazek source 10
SUGI 1989 Analysis of the Properties of Two Binomial Random Number Generators J. Paul Costiloe,
Andrew J. Cucchiara,
Susan J. Kenny		 source 3
SUGI 1989 But Will it Sell? Market-based Decision Systems Using SAS Software Lee H. Evans source 9
SUGI 1989 Calculating the Wilcoxan Signed-ranks. Test Using Conover's Method Anthony Carpentieri,
Susan P. Duke		 source 2
SUGI 1989 Clarifying High-Volume SMF Data from Multiple Data Centers to Provide Customers with Meaningful Information Linda Sampey source 5
SUGI 1989 Color Coding Schemes Using SAS/GRAPH Software Leslie Worf source 3
SUGI 1989 Computing the Standard Deviation from a Geometric Mean Daniel R. Bretheim source 3
SUGI 1989 Confounding of Effects in Equal n Designs: Factorial ANCOVA Scott E. Maxwell,
Harold D. Delaney		 source 6
SUGI 1989 Creating a Quality-Control Report Generator for Complex, VariableLength Files' Using the SAS System and the C Programming Language Michael K. Kring,
Bryan D. Thompson		 source 6
SUGI 1989 Database Management Techniques to Ensure Project Integrity Susan Campbell,
Jeffery Finkeldey		 source 3
SUGI 1989 Designing a Full-Screen SAS Interface for Your IMS Database Eric C. Brinsfield source 8
SUGI 1989 Designing an Expert System for Computer Performance Evaluation Donald R. Deese source 8
SUGI 1989 Developing Device Drivers with the SAS Metagraphics Facility David G. Ball source 7
SUGI 1989 Discriminant Diagnostics Peter A. Lachenbruch,
Yong-Xiao Wang		 source 6
SUGI 1989 Don't Do Anything You Don't Have to: Elementary Strategies for Processing Large Data Sets with SAS Software Yevgenia D. Mackiernan source 9
SUGI 1989 Efficient Repeated Generation of Random Samples Laura L. Bauer,
Hank Leddon		 source 6
SUGI 1989 Estimation of Error Rates in Discriminant Analysis by Bootstrapping Jacques Delince,
F. Javier Gallego		 source 5
SUGI 1989 Examining the Relationship between Survival Time and Time-dependent Covariables Using the PHSPLM Procedure Frank E. Harrell Jr.,
James E. Herndon II		 source 6
SUGI 1989 Expected Variation of Study-Specific Vaccine Efficacy Estimates Claire V. Broome,
Lee H. Harrison,
Allen W. Hightower		 source 3
SUGI 1989 Exploiting SAS System and DCL System Features to Replicate an MVS CLIST Management Reporting System under VMS Casey Cantrell,
Douglas G. Wahl		 source 4
SUGI 1989 External Language Interface to Version 6 of the SASSystem for PC Data Sets Stephen L. Gilles,
R. David Sisemore		 source 5
SUGI 1989 Field Reliability Assessment Using the Proportional Hazards Model Stephen Freitas,
Raymond V. Spring		 source 5
SUGI 1989 Harvesting Information: Data Cleanup and Analysis Techniques Gary F. Plazyk source 6
SUGI 1989 How to Establish a Forecasting System with SASSoftware Joel Fingerman source 10
SUGI 1989 How to Perform Jonckheere's Test Using the CORR Procedure E. Jacquelin Dietz,
Richard W. Morris		 source 3
SUGI 1989 Improving Program Efficiency through Coding Techniques Daniel E. Lodter source 6
SUGI 1989 Improving SAS System Support at a Large Site Bruce F. Gilsen,
Berton Shankman		 source 5
SUGI 1989 Introduction to Arrays Robert Virgile source 6
SUGI 1989 Issues Related to Analyzing Repeated Measurement Data Ramon C. Littell,
Jane Pendergast		 source
SUGI 1989 Learning C with the SAS/C Compiler, Student Edition Gary H. Merrill,
Dee Stribling		 source 7
SUGI 1989 MICHELLE: Statistical Graphics Library Dorothy Hu Huang,
Malini Krishnan,
Grace Yeh		 source 6
SUGI 1989 Migration fromHost Processing to Micro Processing: A Conversion Task List Marian M. Miller source 4
SUGI 1989 Modular Programming Processes New - Traffic Data into SAS Database Gary R. Cowan,
Barbara C. Hertzog		 source 6
SUGI 1989 Monotone Regression Utilizing Ranks William Jay Conover,
Ronald L. Iman		 source 3
SUGI 1989 Most Creative Use of the Software-Monochrome Leslie Worf source 116
SUGI 1989 Narrowing the Communication Gap: Expanding the Information Center - Client Connection Sandra Robinson,
Dusty Teaf		 source 5
SUGI 1989 Nonlinear Regression Analysis of a Biexponential Model Using Various Methods of the NLIN Procedure of SAS Software J. Paul Costiloe,
Andrew J. Cucchiara,
R. B. Deal Jr.,
Susan J. Kenny		 source 6
SUGI 1989 Normal and Nonparametric Two-sided Tolerance Limits Richard H. Browne source 3
SUGI 1989 Nuclear Plant Component Surveillance Implemented in SAS Software Kenny C. Gross,
Keith E. Humenik		 source 5
SUGI 1989 P-Value Adjustments for Multiple Tests in Multivariate Binomial Models Peter H. Westfall,
S. Stanley Young		 source 4
SUGI 1989 Performance Enhancements Running the SAS System under HP-UX. John Hall,
Douglas Austin		 source 3
SUGI 1989 Processing and Analyzing Consumer Panel Data Charles F. Hofacker source 4
SUGI 1989 Producing Multiple Graphs Using Macros 60 Percent Code Reduction Madelyn A. Remsburg source 2
SUGI 1989 Reaping the Benefits of an In-House SAS User Group Candy R. Habich source 4
SUGI 1989 Robust and Exploratory Analyses Automated E. James Harner,
Gerald R. Hobbs		 source 5
SUGI 1989 SAS Macros and a SAS/AF Menu System for Reading COMPUSTAT Files Craig Dickstein,
Christian Vye		 source 6
SUGI 1989 SAS System Workbench: Friendly Interface to Sophisticated Tools Steve Whan source 3
SUGI 1989 The PHGLM Procedure for Time-Dependent Covariates - and the Case-Cohort Design David Yu-Wu Pee,
Sholom Wacholder		 source 6
SUGI 1989 The Statistical-Model Toolbox: A SAS Macro System David S. Frankel source 6
SUGI 1989 The Use of SAS/IML Software in Implementing the Coherence Property for Discriminate Analysis Variables Joyce Bernstein,
William R. Fehlner		 source 5
SUGI 1989 Using the SAS System for Error Identification and Resolution in Large and Complex Data Structures Herbert C. Reynolds,
Donald P. Trees		 source 6
SUGI 1989 Using the SAS System to Analyze Your IBM System Resource Data Rusti Ludwick source 3
SUGI 1989 Using the SAS System to Assess Multivariate Normality Richard P. Steiner source 3
SUGI 1989 Variance Component Analysis Ronald R. Hocking source 4
SUGI 1989 What Does R2 Measure? Steven F. Thomson source 4
NESUG 1988 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 14
NESUG 1988 PROC QPRINT: A Little Known and Under-utilized SAS Gem Ray Pass 21
NESUG 1988 Starting to Use SAS System Options Hallett German,
Mike Keohan		 13
SEUGI 1988 A Flow Chart for Users to Solve SAS Programming Problems Jan Bakker source 3
SEUGI 1988 GBLAND: A Graphical SAS Macro for Statistical Analysis of Measurement Method Comparison and Measurement Repeatability Bob Day,
Retha Keyser		 source 10
SEUGI 1988 Installing and Maintaining SAS Software Version 6.03 under PC DOS David C. Brumitt source 5
SEUGI 1988 Lovmodel, Overview of the Danish Law Model System Hans Hansen source 28
SEUGI 1988 Notes and SAS Macros to Build a Prototype for Explorative Multivariate Data Analysis Maurizio Salusti source 23
SEUGI 1988 Size and Power of the Anderson-Hauck Test and the Double T-Test in Equivalence Problems Jochen Müller-Cohrs source 9
SEUGI 1988 Using the SAS System for the Analysis of Means Randy Topp source 8
SUGI 1988 A Data Set Cross-Reference Report William R. MacHose source 3
SUGI 1988 A Flow Chart for Users to Solve SAS Programming Problems Joy Reel source 3
SUGI 1988 A Method for Hypotheses Testing in a Two-Way, Cross-classified Design with Missing Cells Kenneth L. Koonce,
Mattana Sanguanruang		 source 6
SUGI 1988 A Multivariate Approach to Social Inequality Martin G. Ribe source 6
SUGI 1988 A SAS Macro for Computing Pooled Intragroup Correlation Coefficients and Testing for Group Homogeneity Norman A. Constantine,
Michael S. Shing		 source 4
SUGI 1988 A SAS Macro for Estimating the Error Rates of Two Diagnostic Tests, Neither Being a Gold Standard James J. Ashton,
Melvin Moeschberger		 source 2
SUGI 1988 A SAS/IML Software Macro for Testing Non-Nested Regression Models Laura L. Bauer,
Oral Capps Jr.,
Eric P. Smith		 source 6
SUGI 1988 A Toolbox Approach to Networking SAS Experts or Reusing Instead of Reinventing the Wheel Donald J. Henderson source 5
SUGI 1988 An Expert Sample Allocation Program James W. Mergerson source 2
SUGI 1988 An Imputation System for a Large-Scale Survey Eugene M. Burns,
Doug Valcour		 source 6
SUGI 1988 An Intelligent Interface to the SAS System for Use by Product Development Engineers Debra D. Spencer source 6
SUGI 1988 Analyzing for Independence of Sequential Events with Markov Chain Models with the SAS System for Personal Computers Paul F. Steblein source 5
SUGI 1988 Application of the Analysis of Means Peter R. Nelson source 6
SUGI 1988 Applied Research in Traffic Analysis: An Inductive Approach (Graphics and Moving Array Matrix Find Sample Expansion Factors) Barbara C. Hertzog source 6
SUGI 1988 Automatic Footnoting of Specific Data in a Listing: An Example with Clinical Laboratory Data James P. Young Jr. source 1
SUGI 1988 Automatic SAS Program Generation and Execution Using FORTRAN for a SAS/GRAPH Application Chi-Kai King,
Clara Yao		 source 4
SUGI 1988 CADAE: Computer-assisted Design and Analysis of Response Surface Experiments Mark J. Levine source 4
SUGI 1988 Color Hard Copy Technology-Plotters and Printers Daniel Lee source 5
SUGI 1988 Comparison of Quantile Estimation Methods in the UNIVARIATE Procedure Robert F. Carsel,
Rudolph S. Parrish		 source 6
SUGI 1988 Cutting Costs in the DATA Step: Efficiency Techniques for Improving I/O and Processing Time Neil H. Howard source 6
SUGI 1988 Detection of Influential Observations in Logistic Regression Using the SAS System Charles S. Davis source 6
SUGI 1988 Dynamic Loading in the SAS/C Compiler, Theory and Practice Stuart Newton source 6
SUGI 1988 Estimating Logistic Regression Models When the Dependent Variable Has No Variance Nicholas Scott Cardell,
Dan Steinberg		 source 2
SUGI 1988 Exact and Monte Carlo Methods for Computing Non-Parametric Significance Tests Cyrus R. Mehta,
Nitin R. Patel,
Pralay Senchaudhuri		 source 6
SUGI 1988 Extrapolation Sampling: Model-based Finite Population Sampling in Litigation Support Timothy Wyant source 5
SUGI 1988 Forecasting as a Tool for Decision Making Joel Fingerman source 6
SUGI 1988 Gaining a Competitive Advantage in Business Using SAS/QC Software Matt D. Leet,
Rodney L. Reish		 source 3
SUGI 1988 Generalized Least Squares Regression with Partially Correlated Data Andrew J. R. Gillespie source 4
SUGI 1988 Installing and Maintaining SAS Release 6.03 under PC DOS David C. Brumitt source 5
SUGI 1988 Interlanguage Communication Issues with the SAS/C "'"Compiler, Using FORTRAN as an Example Ingrid Ammondson source 5
SUGI 1988 Jonckheere's Test Procedure for Dose-Response Trend Dorothy Hu Huang,
Armand Robles		 source 6
SUGI 1988 Logit Models for Ordered Categorical Response Data Alan Agresti source 9
SUGI 1988 Low Maintenance Programming Techniques Robert Virgile source 10
SUGI 1988 Merging Data Sets When Distinct BY Variables Are Not Available Arthur L. Carpenter source 4
SUGI 1988 Most Creative Use of the Software-Monochromatic Kernon M. Gibes source 5
SUGI 1988 Multivariate Normal Plotting Using Ordered Mahalanobisn Distances NamJun Kang source 6
SUGI 1988 Multixy: A User-friendly Front-End to the GPLOT Procedure Hallett German,
Thomas J. Higgins		 source 5
SUGI 1988 New Measurement Data Sources for MVS/XA and Its Subsystems H. W. Barry Merrill source 10
SUGI 1988 New SAS Facilities for Design of Experiments Randall D. Tobias source 3
SUGI 1988 On-Line Access to the SAS Sample Library, Usage Notes, and Tutorials in VM/CMS Gonzalo R. Garriga,
William G. LeBlanc,
Robert M. Syren		 source 5
SUGI 1988 Power Analysis in an Enhanced GLM Procedure: What It Might Look Like Ralph G. O'Brien,
S. Paul Wright		 source 6
SUGI 1988 PROC TWOSAMPLE A SAS Procedure for the Two-Sample T and Rank-Sum Tests with Extensions Jon L. Kosanke,
Peter C. O'Brien,
Kenneth P. Offord		 source 6
SUGI 1988 Processing Large Files: The SUMMARY Procedure and Other Efficiency Tips Juliana M. Ma source 9
SUGI 1988 Project Schedule Monitoring Featuring SAS/FSP and SAS/OR Software Robert P. Hardy source 5
SUGI 1988 Read Compressed VSAM Files with SAS Software, an Example Judy C. Ambler source 6
SUGI 1988 Repeated Measures Analysis with the SAS System Ramon C. Littell,
Jane Pendergast		 source 7
SUGI 1988 Robust Estimation Using SAS Software Will A. Sullivan,
Liangg Yuh		 source 6
SUGI 1988 SAS Functions-Simple but Powerful Techniques Steve G. Holson,
Jenny Putman		 source 6
SUGI 1988 Sorting Massive Data Sets David S. Rubin source 4
SUGI 1988 SPAM: Spatial Autocorrelation Modeling Andrew J. R. Gillespie source 5
SUGI 1988 Statistics for Ordered Categorical Data Thomas O'Gorman,
Robert F. Woolson		 source 7
SUGI 1988 STRATRAN: Stratified Random Selection of Controls for Matched Case-Control Data (A MCSTRAT Preprocessor) Henry A. Anderson,
Jerry Burns,
Lawrence P. Hanrahan,
Joseph Olson		 source 5
SUGI 1988 Subgrouping and Subsetting before Invoking the SHEWHART Procedure Mark A. Soboslai source 6
SUGI 1988 SYSTEM 2000 Data Management Software Applications at the National Bureau of Standards Bob Lee source 6
SUGI 1988 The Analysis of Complete Blocks Using Methods Based on Ranks Ronald L. Iman source 9
SUGI 1988 The Application of the SAS Macro and Autocall Facilities to a Customized Exploratory Data Analyzing System Marc Alary,
William A. R. Orban		 source 3
SUGI 1988 The CMS SAS System and the IBM 9370 Processor Series James C. Weathers Ili source 8
SUGI 1988 The Macropedia: Macros for Listing and Summarizing Data from Clinical Trials Diane Wold,
Paul A. McSorley,
Sue Allen,
Janna D. Young		 source 6
SUGI 1988 The Nuts and Bolts of Course Development Jean Ussery source 7
SUGI 1988 The Use of PROC SICHAID in Marketing Research Jay Magidson,
Patrick Rooney		 source 5
SUGI 1988 To Pool or Not to Pool in a Multicenter Clinical Trial Gregory T. Schwemer source 4
SUGI 1988 Type I Error Rate for Small Sample Sizes Using Various Options of the CATMOD Procedure J. Paul Costiloe,
Andrew J. Cucchiara,
Susan J. Kenny		 source 4
SUGI 1988 UNI-PRO: A System to Screen Large Health Care Data Sets Using the SAS System William J. McDonald,
J. Jon Veloski		 source 6
SUGI 1988 Use of the SAS System in an Undergraduate Course on Statistical Packages at the University of Central Florida Thian S. Kheoh,
Dale F. Kraemer,
Julie Wildman-Pepe		 source 3
SUGI 1988 Using Multivariate Statistical Techniques for Quality Improvement Lonnie C. Vance source 5
SUGI 1988 Using the Micro-to-Host Link to Access the SAS System under VMS " Susan M. O'Connor source 6
SUGI 1988 Using the SAS System for Analysis of Means Donna O. Fulenwider source 8
SUGI 1988 Using the SAS System to Facilitate Clinical Trials Research and NDA Approval Martin J. Rosenberg source 7
SUGI 1988 Windows without Pains Ross Merlin source 4
SEUGI 1987 Effective Use of SAS Software In a Large-Scale Sample Survey Risto Lehtonen source 15
SEUGI 1987 Enhancements to Micro-Host Link Daniel Delorge source 8
SEUGI 1987 F-G Diagonalisation Using PROC MATRIX and Macro Language Marco Vaccari source 14
SEUGI 1987 Factor Analysis An Annotated Example Marcus Schmidt source 23
SEUGI 1987 Improvements in SAS System Performance Under VMS Steve Morton source 4
SEUGI 1987 Introduction to SAS/DMI Software Georg Morsing source 5
SEUGI 1987 New Measurement Data Sources for MVS/XA and Its Subsystems H. W. Barry Merrill source 28
SEUGI 1987 The PC SAS System in a Laboratory Environment Jan Ruud Hansen,
Tore Kaasen		 source 7
SUGI 1987 A New Approach to Creating Full-screen Menu-driven Systems for the SAS System under CMS Jeffrey L. Fowler source 7
SUGI 1987 A Sample Application for the New INFILE/FILE User Exit for IBM Mainframes Susan Marshall source 5
SUGI 1987 A SAS Macro for Estimating Missing Values in Multivariate Data Gina M. Capalbo,
James S. Roberts		 source 3
SUGI 1987 A VAX'M-VMS ""Command Procedure for Submitting SAS Software Jobs in Batch Mode James Barbour,
John D. Smith		 source 5
SUGI 1987 Accessing SAS Software Sample Program Libraries Using CMS REXX Michele M. Burlew source 2
SUGI 1987 An Introduction to SAS/DMI Software Kerrie Brannock,
Glenn H. Itano		 source 5
SUGI 1987 Application of Intervention Analysis to Power Plant Monitoring Data Linda E. Bireley source 9
SUGI 1987 Batch Environment SAS System as an Aid to Managerial Decision Making Virginia N. Adams source 2
SUGI 1987 Combining SAS Software and SYSTEM 2000 Data Management Software Mike Senger source 6
SUGI 1987 Combining SAS/GRAPH Software Output with Text Using IBM's Document Composition Facility James W. Mathews source 3
SUGI 1987 Comparison of Four Univariate Methods for Forecasting Seasonal Data by the SAS System Jeffrey Jarrett source 5
SUGI 1987 Confidence Limits for the Product Moment Correlation Coefficient Based upon Normalizing Transformations Herbert Hamilton source 6
SUGI 1987 Conversion of UTM Coordinates to Geographic Coordinates for SAS/GRAPH Software PROC GMAP Displa David C. Chojnacky,
Ronald P. Tymcio		 source 6
SUGI 1987 Determining End User Response Time Using NLDM and SAS Software Michael W. Yount source 6
SUGI 1987 Developing an Enhanced Facility for Installing SAS Software for the Microcomputer under MS DOS and PC DOS Kevin L. Kiser source 6
SUGI 1987 Effective Analysis of Non-standard Clinical Data Joan Baron source 6
SUGI 1987 Eight Key Questions on the Future Direction of Established SAS Hallett German source 5
SUGI 1987 Enhancements to the Micro-to-Host Link Edmund Burnette,
Cheryl A. Garner,
Todd Lloyd		 source 8
SUGI 1987 Estimation of Variance Components in Mixed Factorial Models Including Model-based Diagnostics Ronald H. Bremer,
John W. Green,
Ronald R. Hocking		 source 6
SUGI 1987 Full-screen Menu-driven Sample Size Programs Using SAS/AF Software J.A. Bebar,
Phil Cirulli,
L. A. Johnson		 source 5
SUGI 1987 Generating Sample Sizes for Hypergeometric Sampling. Plans Using SAS Software Melvin T. Alexander source 5
SUGI 1987 Graphic Profiling of User Group Activity H. Pat Artis source 2
SUGI 1987 Graphical Illustration of a Water Pollution Index Using SAS/GRAPH Software Michael J. Millard,
E. Barry Moser		 source 4
SUGI 1987 High-Performance Graphics for Exploring Multivariate Data Harold W. Gugel,
C. Ming Wang		 source 8
SUGI 1987 Improving Statistical Methodology with the SAS System in an Industrial Environment Robert V. Baxley Jr. source 9
SUGI 1987 Interpretation and Diagnostics of the Multinomial Logistic Regression Dan Steinberg source 6
SUGI 1987 Low-Dimensional Representation of High-Dimensional Data for Multiple Populations with Unequal Covariance Matrices Virgil R. Marco,
Danny W. Turner,
Dean M. Young		 source 6
SUGI 1987 Making SAS/IMS-DL/l Software User Friendly Henrietta Cummings source 6
SUGI 1987 Maximum Likelihood Estimation and Simulation for One and Two Stage Sampling of Normal Mixtures Using SAS Software Kirby Jackson,
Wesley Kemmerlin		 source 4
SUGI 1987 Measures of Multivariate Skewness and Kurtosis Ronald Kalinoski,
NamJun Kang		 source 6
SUGI 1987 Nonparametric Density Estimation C. R. Longbotham source 3
SUGI 1987 Performance and Feature Enhancements in the SAS System under VMS (5.16) Tom Cole source 4
SUGI 1987 Preparing and Presenting Management Reports using SAS/AF Software Darius S. Baer source 6
SUGI 1987 Receipt Control and Assessment Monitoring for a Multisite Clinical Trial Norman A. Constantine,
Henk Pechler,
Michael S. Shing		 source 5
SUGI 1987 Sampling Very Large Datasets from SAS Software: PROC RANDOM and PROC RANSTRAT William T. Douglass,
Gail Johnson		 source 4
SUGI 1987 Sampling with SAS Software: A Macro for Drawing PPS Samples Eleanor M. Dillon,
James E. Smith		 source 5
SUGI 1987 SAS Software Installation-Things Your Site Representative Never Told You John W. Davison Jr. source 6
SUGI 1987 SAS System Statistical Procedures Applied to the Analysis of Water Quality Data Paul D. Mowery source 10
SUGI 1987 SAS Training in an Information Center's Diverse Environment Sandra Robinson,
Sallie R. Teaf		 source 3
SUGI 1987 Simulating 2-D Gel Electrophoretograms using Techniques from Version 5 SAS Software Michael S. Lajiness source 8
SUGI 1987 Some Applications of PROC MATPAR: Match Pair Partial Correlation Procedure Chun Chen,
Robert E. Johnson		 source 6
SUGI 1987 Strategies for Development of a Corporate Graphics Center Suzanne S. Gordon,
Jerry J. Hosking		 source 7
SUGI 1987 Strategies for Repeated Measures Analysis of Variance Phil Spector source 4
SUGI 1987 The Bayesian Estimation of Linear Models: An Application of the Lindley-Smith Hyperparameter Model Dennis J. Aigner,
Joseph G. Hirschberg		 source 6
SUGI 1987 Treatment of Lagged Dependent Regressors and Autocorrelated Errors in SAS/ETS Software Thomas B. Fomby,
Joseph G. Hirschberg		 source 6
SUGI 1987 Use of SAS Procedures for Estimating Design Based Logistic Regression Variances by Balanced Repeated Replication (BRR) Daniel H. Freeman Jr.,
Philip J. Leaf,
Martha Livingston Bruce		 source 5
SUGI 1987 Using SAS Software to Develop a Prototype for Determining Participant Profiles and for Assessing Potential Relationships Among Health Insurance Variables Ralph F. Catalanello,
Bruce W. Eagle		 source 6
SUGI 1987 Using SAS Software to Quantify Dissimilarity among Environmental Samples John M. Rinehart source 6
SUGI 1987 Using SAS/IML ""Software - A Multivariate Control Chart Example Phil Cirulli source 3
SEUGI 1986 An Alternative Technique for Analyzing System Paging Workloads H. Pat Artis source 4
SEUGI 1986 An Introduction to SAS/QC Software Gerhard Held source 11
SEUGI 1986 Experience on Several Devices for SAS/GRAPH General Appication Sample Library Marco Vaccari source 11
SEUGI 1986 Principal Component Methods for Classification of Groups of Samples Peter Yendle,
Richard Brereton,
Simon Badham		 source 34
SEUGI 1986 SAS Macro "Meta" for Combining Independent Eestimators for Effect Size Efraim Daron source 12
SEUGI 1986 SAS/STAT Software on the IBM PC under PC DOS Gerhard Held source 12
SEUGI 1986 Solving the IBM Graphics Problem The Saga Continues Bill Manos source 5
SEUGI 1986 The Rutherford System S. R. Robinson source 25
SEUGI 1986 The SAS System as a Tool for the Financial Systems Auditor Jost Dorken source 20
SEUGI 1986 Using the SYSTEM 2000 DBMS Query Language Catherine Lavery source 4
SUGI 1986 A Generalized Growth Curve Procedure for the Analysis of Incomplete Longitudinal Data Kenneth O. Story,
Edward F. Vonesh		 source 6
SUGI 1986 A Generalized SAS Algorithm Including Error Diagnostics for the Switchback Experimental Design with Three or More Treatments Nancy K. Keith,
George D. Williams		 source 3
SUGI 1986 A Macro for Conditional Ordinary Least Squares and Weighted Least Squares Analysis of Repeated Measures Data Margaret Burchinal source 6
SUGI 1986 A SAS Based System for Calculating and Tracking Data Processing Error Rate Estimates Ellen Gilkerson,
Virginia Ozer		 source 4
SUGI 1986 A SAS Macro Which Computes Upper Confidence Limits of the Number of Defective Units in a Lot Melvin T. Alexander source 4
SUGI 1986 A SAS Program for ANOVA When the Input Data are Group Means Aloha E. Bryson source 6
SUGI 1986 A SAS/AF Software Based Clinical Data Review System Richard E. Raftery,
Martin J. Rosenberg,
James F. Sattler		 source 3
SUGI 1986 An Alternative Technique for Analyzing System Paging Workloads H. Pat Artis source 4
SUGI 1986 An Estimation System for the End-user Rick Marrie,
Samuel M. Slowinski		 source 4
SUGI 1986 An Introduction to SAS/QC Software Robert N. Rodriguez source 11
SUGI 1986 Analyzing Survey Data in the Electric Utility Industry Using Several SAS Procedures Mary Lynn Spada source 4
SUGI 1986 Creative Uses of Standard Graphics Packages Julie A. LaBarr source 6
SUGI 1986 Executive Information Systems Using SAS/AF Software Linda Sampey source 4
SUGI 1986 Facilities for Supporting the SAS System Applications to Zaps Margaret L. Adair source 3
SUGI 1986 Improving Binary Search Techniques Robert Virgile source 6
SUGI 1986 Inference from the Incomplete Longitudinal Design: A Collection of SAS Macros James Rochon source 6
SUGI 1986 Interfacing SAS Software with the B34S System Recursive Residual Option: A Brief Look at Theory and an Example Houston H. Stokes source 6
SUGI 1986 Management of Time Series SAS Data Bases William R. MacHose source 5
SUGI 1986 Measuring Data Variability Fred Gehm source 3
SUGI 1986 Power Analysis for Linear Models Ralph G. O'Brien source 8
SUGI 1986 PROC COMPUTAB Macros for Survey Processing Applications Thomas E. Billings source 5
SUGI 1986 PROC RSMCB: A Procedure for Ranking, Selection, and Multiple Comparisons with the Best James C. Aubuchon,
Shanti S. Gupta,
Jason C. Hsu		 source 5
SUGI 1986 Sample Utility Macros Ross Merlin source 8
SUGI 1986 SAS Program Generator for Statistical Quality Control Chris Potter source 6
SUGI 1986 The Kodak Quality Package James L. Bossert,
Julie A. LaBarr		 source 6
SUGI 1986 The SAS System as a Tool for the Financial Systems Auditor Ferrell Drewry source 20
SUGI 1986 The Use of the SAS System in the Development of the Production System for the Consumer Price Index (CPI) James E. Johnstone,
Merry G. Rabb,
Joshua Sharlin		 source 5
SUGI 1986 Tukey-Kramer and Dunnett Procedures Based on the LSMEANS Statement John M. Koester,
Kathleen Mellars,
Harji I. Patel		 source 6
SUGI 1986 User Standards: Who Needs Them? Roberta Armstrong source 10
SUGI 1986 Using PROC NLIN for Time Series Prediction Wayne Fuller source 6
SUGI 1986 Using SAS Software in the Design and Analysis of Two-Level Fractional Factorial Experiments Joanne R. Wendelberger source 6
SUGI 1986 Using SAS Software to Generate Leave-One-Out Hit Rate Estimates for Group Classification Cathy A. Stawarski,
Joseph M. Wisenbaker		 source 6
SUGI 1986 Using SAS Software to Provide Descriptive Statistics and Customized Report Writing for a Materials Management Function Bruce W. Eagle source 7
SUGI 1986 Using SAS/AF Software to Build and Test End-users' SAS/AF Software Applications Janet C. Lind source 5
SUGI 1986 Using the SAS System to Perform Power Analyses for Log-Linear Models Ralph G. O'Brien source 7
SEUGI 1985 Analysing the Performance of VMS with the SAS System Alan Scott source 6
SEUGI 1985 Creating Sample Program Brochures Using DCF Rolf Steenge source 9
SEUGI 1985 Regression Analysis and other SAS Procedures for Assessing Credit Risk Raxa Vaid source 10
SEUGI 1985 Statistical Enahancements to the SAS System Gerhard Held source 20
SEUGI 1985 The Nonparametric Tests in SURVTEST, COXREGR and PHGLM Jan Mulder source 7
SUGI 1985 A Customer Sampling and Reporting System Using SAS Software Barbara J. Matthews,
Sue M. Worline		 source 6
SUGI 1985 A Monte Carlo Comparison of Extended Mantel-Haenszel Procedures Daniel W. Griffin source 6
SUGI 1985 A SAS Macro for Logistic Discrimination for Three or More Populations James E. Dunn,
Eileen C. King		 source 6
SUGI 1985 A SAS Routine to Compute Minimum Sample Sizes for Single Attribute Sampling Plans Melvin T. Alexander source 4
SUGI 1985 Airline Connection Point Analysis Dave Baird source 5
SUGI 1985 An Enhanced SAS Macro for Testing Homogeneity of Variance Dennis W. King,
John Henry King,
Kevin C. Thompson		 source 6
SUGI 1985 An Environmental Data System using SAS Software on the VAX 11/780 Dewey Blaylock,
Larry Salvo		 source 4
SUGI 1985 An Interactive, Menu-Driven SAS System for Sample Size and Power Computations in Clinical Trial Design Gregory G. Enas,
Walter W. Offen,
John D. Taulbee		 source 6
SUGI 1985 Applications in Bayesian Analysis Arnold Zellner source 7
SUGI 1985 Assessing the Impact of VM System Modifications using VMAP and the SAS System Harriet E. Brichta source 6
SUGI 1985 Bootstrap Computations Robert Tibshirani source 5
SUGI 1985 Box Plots using SAS/GRAPH Software Ann Olmsted source 7
SUGI 1985 Bring Microcomputers into a Small, SAS Software-oriented Computer Laboratory Gerald V. Tangren source 4
SUGI 1985 Building an Executive Chartbook Using the SAS System with Examples of New SAS/GRAPH Software Features Jack Bulkley source 9
SUGI 1985 Changes and Enhancements to SAS/ETSSoftware David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 12
SUGI 1985 Conference Program Management Using SAS/FSPSoftware H. Pat Artis source 6
SUGI 1985 Cumulative Sum (CUSUM) Control Schemes J.M. Lucas source 6
SUGI 1985 Developing a Standardized SAS Software Library for Analysis of Numerous Large Scale Clinical Trials Debra L. Bingham-Barnes,
Betty J. Nelson,
David E. Tappe		 source 6
SUGI 1985 Enhancing Printout of SAS Data Sets Using Macros Gary Vair source 6
SUGI 1985 Estimating Autocorrelations and Crosscorrelations where Missing Values are Present: A SAS Macro Pan-Yu Lai,
Kenneth M. Portier		 source 5
SUGI 1985 Fitting Log-linear Models Using SAS Software Amy Ko,
W. J. Shih		 source 5
SUGI 1985 Interactive SAS Program Generators for Analyzing and Reporting Medical Research Sandra B. Brizendine,
James T. Crowe Jr.		 source 4
SUGI 1985 Macro Power: A Procedure to Generate Wilcox on Rank Sum Power Curves Michael J. Todd source 4
SUGI 1985 Macros for Paired Categorical or Continuous Scale Data Analysis Thomas E. Bradstreet source 8
SUGI 1985 Material Management with SAS Software Sy Aslan,
Ethan Matlaw		 source 6
SUGI 1985 Multivariate Data Analysis Using the SAS System E. James Harner source 6
SUGI 1985 Optimal Allocation for the Comparisons of Two Proportions David C. Huang source 6
SUGI 1985 Progress of the Portable Systems Division-Panel Discussion Richard A. Usanis source 3
SUGI 1985 Repeated Measures in Nonlinear Models Ronald W. Helms,
Keith E. Muller		 source 5
SUGI 1985 SAS Macros for Bootstrapping and Cross Validating Regression Equations Richard T. Carson source 6
SUGI 1985 SAS Menu-driven System using SAS 82.4 Macros under IBM MVS/TSO Mark T. Duffin,
Gustave F. Jonas		 source 6
SUGI 1985 SAS Software for Log-linear Models Peter B. Imrey source 14
SUGI 1985 SAS Software for Stratified Analysis William M. Stanish source 6
SUGI 1985 Selection of Variables for Identification of Transfer Function Models on SAS Software James A. Deddens,
Wang Ping		 source 6
SUGI 1985 STARS and FACES - Procedures for Constructing Graphical Profiles of Multivariate Data Harold W. Gugel source 6
SUGI 1985 Statistical Graphics Made Possible by the SAS/GRAPH ANNOTATE Facility under VMS Patricia M.D. Benoit source 7
SUGI 1985 Subset Selection, Not Multiple Comparisons Paul N. Somerville source 3
SUGI 1985 Survey Design from Start to Finish Timothy A. Grunwald,
Samuel M. Slowinski		 source 6
SUGI 1985 Taking MDS Beyond Similarity Data J.O. Ramsay source 7
SUGI 1985 The Jonckheere-Terpstra Non parametric Test for Trend Utilizing SAS Macros Robert S. Hoop,
Iraj Mohebalian		 source 5
SUGI 1985 The Role of Invertibility and Symmetry of Polychotomous Metameters for GSK and Other Related Analyses James E. Dunn source 10
SUGI 1985 The SAS System as a Statistical Simulation Language Timothy J. Breen,
Robert M. Hamer		 source 8
SUGI 1985 Use of the SAS Macro Language in Developing Control Chart Limits Thomas P. Walker Jr. source 4
SUGI 1985 User-written I/O Drivers and the SAS System for Minicomputers under VAX/VMS Tom Cole source 4
SUGI 1985 Using SAS Software as the Report Writer in a Data Base Package Jack Jimieson,
Thomas M. Koenig		 source 6
SUGI 1985 Using SAS/FSP and SAS/GRAPH Software with Canadian Census Tapes William R. Fehlner,
Diane Mitchell		 source 6
SUGI 1985 Using the SAS System to Process 1980 Census Summary Tapes John G. Blodgett source 5
SEUGI 1984 Interfacing SASGRAPH with Graphics Hardware Part A & B Philip J. Winters,
Steve Morton		 source 13
SEUGI 1984 New SAS/GRAPH Features Alan Russell source 11
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SEUGI 1984 SAS Macros to Test Validity Conditions in the ANOVA of Repeated Measures Designs M. Hucher source 8
SEUGI 1984 Using SAS to Analyse VM Performance Data Alan Rawlings source 6
SUGI 1984 A Generalized Interactive Full Screen Edit-Update System Using SAS Software Jesse Gary,
Donald J. Henderson,
Connie G. Welch		 source 6
SUGI 1984 A Procedure for Selecting Multiple-Item Cutoff Samples Eugene M. Burns source 6
SUGI 1984 A Queueing Theory Model for Optimization Using SAS Software Chitra B. Prabhakar source 4
SUGI 1984 A SAS Macro for Determining the Causes of Interaction in a Two Way Model Edward P. Barry,
Dar-Shong Hwang		 source 6
SUGI 1984 A SAS Macro for Increasing the Reliability of a Binary Test Using Item Interactions Robert J. Jannarone,
James S. Roberts		 source 5
SUGI 1984 A SAS Program for Non parametric Tests for Homogeneity of Dose Response Growth Curves Saeid B. Amini,
Kantilal M. Patel		 source 6
SUGI 1984 A Text Retrieval System Based on Numerical Encoding Nelson R. Pardee source 4
SUGI 1984 AEPG-Automated Edit Program Generator Lynn T. Julian source 6
SUGI 1984 An Evaluation of the Power of the K-Sample Bell-Doksum Statistics Edward P. Barry,
Amy Ko		 source 6
SUGI 1984 An M-Population Covariance Stabilization: PROC VARSTB James E. Dunn,
Mike Zodrow		 source 6
SUGI 1984 An Overview of the SAS/REPLAY-CICS Product Roger Williams source 8
SUGI 1984 Analysis of Covariance-Models, Strategies and Interpretations George A. Milliken source 10
SUGI 1984 Applications of Computer Cartography for Marketing Research and Corporate Planning Vince Bartle,
John G. Blodgett,
Marius Janson,
L. Douglas Smith		 source
SUGI 1984 Changes and Enhancements to SAS/ETS Procedures David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 6
SUGI 1984 Computing for Unbalanced Repeated Measures Experiments Kenneth N. Berk source 7
SUGI 1984 Developing A Computer Cost Distribution Method Using the MICS Data Base Anne N. Bluth,
Jean L. Waits		 source 6
SUGI 1984 Estimating a Transformation Between Projections Using Least Squares Paul W. Fingerman,
Marcia A. Tolbert		 source 3
SUGI 1984 Estimating Power for Tests of the Multivariate General Linear Hypothesis Keith E. Muller,
Bercedis L. Peterson		 source 5
SUGI 1984 FSGRAPH-A Combination of the SASIFSP and SAS/GRAPH Products for Developing Graphics Roger D. Muller source 8
SUGI 1984 Generating Bivariate Exponential Distributions via SAS Macros with Application to Repeated Measures Designs Melvin Moeschberger,
P. K. Tandon		 source 4
SUGI 1984 Interfacing SAS Software with the SCA System: the SCALINK Procedure Lon-Mu Liu,
Houston H. Stokes		 source 6
SUGI 1984 New SAS/GRAPH Features Jack Bulkley source 6
SUGI 1984 On the Limitations of Akaike's Information Criterion and Its Use in PROC STATESPACE Jim Chavern source 6
SUGI 1984 On the Study of Clusters with Factor Analysis Eric Deaton,
Richard Israel		 source 6
SUGI 1984 Panel Discussion John C. Boling,
Mason B. Nichols		 source 17
SUGI 1984 Panel Discussion of SAS Users Under the VMS Operating System Louise Horny,
Kevin Mallory,
Gerald Perry,
Brad Reese		 source 7
SUGI 1984 Power Analysis for Linear Models: The Time Has Come Virginia I. Lohr,
Ralph G. O'Brien		 source 7
SUGI 1984 Power Analysis for Multivariate Linear Models: New Results and SAS Software Make It Practical Keith E. Muller,
Bercedis L. Peterson		 source 6
SUGI 1984 Power Analysis for Univariate Linear Models: The SAS System Makes It Easy.. Virginia I. Lohr,
Ralph G. O'Brien		 source 6
SUGI 1984 PROC JACKREG-A SAS Procedure for Jackknife Regression Daniel M. Chilko,
Panayiotis Hambi,
Gerald R. Hobbs		 source 6
SUGI 1984 Procedure Writing: How to Implement Custom Procedure Statements Richard L. Gimarc source 7
SUGI 1984 PUMPCSR: An Interactive Data Management System for Customer Service Requests of Infusion Pumps Peter Chen source 4
SUGI 1984 Quality Control Through Random Error Generation William M. Taylor source 4
SUGI 1984 REPREG: A Repeated Measures Regression Program Randy L. Carter,
James T. Love		 source 6
SUGI 1984 Residential Energy Forecasting: A Pragmatic Application of Box-Jenkins Michael F. Jacob source 6
SUGI 1984 SAS Macros for Sample Size and Power Calculations Erik J. Bergstralh source 6
SUGI 1984 Some Preliminary Tests in Repeated Measures Design M.F. Huque,
Harji I. Patel,
T. Roy		 source 6
SUGI 1984 Starting a Local SAS Users Group: Some Issues and Guidelines Jim C. Knoop source 7
SUGI 1984 Statement Style Macros Donald J. Henderson,
David L. Kuhn		 source 10
SUGI 1984 Statistics Automation: Using SAS Macros to Produce Report-Ready Statistical Analysis Tables Walter W. Offen source 5
SUGI 1984 The Construction of a Standardized Analysis File From Multiple Inputs Zelda B. Cohen source 6
SUGI 1984 The SAS System as an Information Center Tool Patrick R. Timmins source
SUGI 1984 The SAS/GRAPH ANNOTATE Facility Anthony L. Friebel source 8
SUGI 1984 The Use of CATMOD for Repeated Measurement Analysis of Categorical Data Gary G. Koch,
William M. Stanish		 source 10
SUGI 1984 Using SAS Software for Fatigue Life Prediction of Mechanical Springs Robert L. Woell source 5
SUGI 1984 Using SAS Software To Do Non-Parametric Statistics Gerald R. Hobbs source 8
SUGI 1984 Using SAS Software to Produce Summary Tables of GLM-Calculated Statistics Margaret A. Grady source 6
SEUGI 1983 Analysis of Survey Data from a Soda Ash Lake Gordon Thackray 6
SEUGI 1983 Repertory Grid Analysis using SAS Henry Wynn,
Mark Elliott,
Sema Cemal		 17
SEUGI 1983 SAS Analysis of RSCS Accounting A. P. J. Logley 19
SEUGI 1983 Two Macros for non-parametric tests on related samples using PROC MATRIX John Church 4
SUGI 1983 A Multi-Evaluative Approach to the Analysis of Clinical Laboratory Data William A.T. Archambault Jr.,
James J. Tiede		 source 6
SUGI 1983 A Procedure for Estimating Parameters in Nonlinear Random Models Paulette Johnson,
George A. Milliken		 source 4
SUGI 1983 A SAS News Facility Craig Dickstein,
J. Michael Shaughnessy		 source 4
SUGI 1983 Adverse Reaction Incidence Tables for Clinical Trials Donna R. Park,
Stephen J. Ruberg		 source 5
SUGI 1983 An Economical Approach to Verifying the Accuracy of Keypunch Data Steven N. Blair,
Nancy N. Goodyear		 source 6
SUGI 1983 Analysis of Variance and Subset Selection S.J. Bean,
Paul N. Somerville		 source 3
SUGI 1983 Automatic SAS Generation of Documentation for a Large Public-Use SAS Data Base Judith L. Cohen source 6
SUGI 1983 Automation of Estimation and Sampling Error Computations Using PROCs NASSTIM and NASSVAR Greg Binzer,
David Morganstein		 source 6
SUGI 1983 Data Reduction and Summarization Joshua Sharlin source 8
SUGI 1983 Demographic and Economic Information Applied to Business Decision Making Garry S. Meyer source 8
SUGI 1983 Education/Consulting Panel Earl Nall,
Peter L. Rikard		 source 12
SUGI 1983 Effect Size and Power in Two Factor Nonorthogonal ANOVA: A Monte Carlo Investigation Margaret J. Martin,
William A. Powers		 source
SUGI 1983 Efficient Techniques for Large Data Files Judith H. Mopsik source
SUGI 1983 Generalized Program for Stratification &Strata Deterioration Analysis-GPSSD.. Bonnie Brown Jacobson source 6
SUGI 1983 Interactive Control Charts using SAS82 David C. Schlotzhauer source
SUGI 1983 Living with the AHA: The Construction of a Multi-Year Hospital Information Data Base Using the AHA Annual Survey and SAS Mireille Leger,
Frederick E. Pratter		 source
SUGI 1983 Management Information Systems: An Environmetrics Approach Karen L. Daniels,
Michael P. Farrell,
Jonathan C. Goyert,
Rodney H. Strand		 source 4
SUGI 1983 MULPOOLS: Analysis of Personnel Practices in Employment Discrimination Lawsuits Jon Chalfant-Walker,
Timothy Wyant		 source
SUGI 1983 Overview of Categorical Data Analysis Methods Ingrid A. Amara,
Susan Atkinson,
Gary G. Koch,
William M. Stanish		 source 10
SUGI 1983 PROC AID: A SAS Procedure Searching for the Best Model byStatistical Inference Yutaka Kimura,
Saburo Saeda,
Takashi Shitomi		 source 5
SUGI 1983 PROC DISCRETE-A Procedure for Fitting Discrete Probability Distributions Charles E. Gates,
James P. Geaghan,
George D. Williams		 source 4
SUGI 1983 PROC Paired Bradley J. Dain,
Jon L. Kosanke,
Kenneth P. Offord		 source 2
SUGI 1983 Randomization Tests Robert M. Hamer source 9
SUGI 1983 Robust Discriminant Analysis Anthony A. Billings,
E. James Harner		 source 6
SUGI 1983 Robust Regression and PROC JACKREGR Daniel M. Chilko,
Gerald R. Hobbs		 source
SUGI 1983 SAS DLI, SAS/FSP-Their Use in Large Scale DB Operations Richard H. LaRue,
Clayton D. Stewart		 source 6
SUGI 1983 SAS Macros for F-test Power Computations in Balanced Experimental Designs Andrew J. L. Cary source
SUGI 1983 SAS Methods for Balanced Repeated Replications Edward L. Spitznagel source 4
SUGI 1983 SAS Methods for Standard Error of Estimate in Maximum Likelihood Factor Analysis .. Susanna F.M. Clarkson,
Douglas B. Clarkson		 source 5
SUGI 1983 SAS/ETS: What Isn't and What Could Be Robert P. Parks source 6
SUGI 1983 SAS: A Data Management Tool Generator Barbara Belasco,
Suzanne Ives		 source 6
SUGI 1983 The SAS Microcomputer Connection P. L. Olympia source 5
SUGI 1983 The SAS Supervisor Donald J. Henderson source 8
SUGI 1983 The Use of SAS in an Introduction to Information Processing Course Robert S. Workman source 2
SUGI 1983 Transferring and Processing a "Very Large "Data Set from a PDP 11/34 to an IBM 360/370 Keith E. Muller,
Kathleen J. Seiple		 source 6
SUGI 1983 Treating Multicollinearity with SAS William J. Wilson source 6
SUGI 1983 Univariate and Multivariate Repeated Measures Analysis Through PROCs REG, GLM, and MATRIX Robert S. Barcikowski,
Randall R. Robey		 source 6
SUGI 1983 Urban Spatial Structure and Gasoline Consumption Robert M. Ray source 6
SUGI 1983 Using SAS for Data Communications Management G. Will Cook source 6
SUGI 1983 Using SAS to Compute Standardized Rates by the Direct Method Mary Anne Armstrong source 6
SUGI 1983 Variance Estimation from Multi-Stage Sample Survey Data: The Jackknife Repeated Replicate Approach William D. Kalsbeek,
James Rochon		 source 6
SUGI 1983 Viewing SAS as an End user Language Steven R. Schacht source 5
SUGI 1983 Within-Drug Changes in a Multicenter Clinical Trial and Their Applications .. Harji I. Patel source
SUGI 1982 A Comparison of Procedures for the Classification of Multivariate Observations Cathryn Gust,
Rebecca Klemm		 source 4
SUGI 1982 A Proposal for the Contents of a Project Archive Ronald W. Helms,
James D. Hosking		 source 8
SUGI 1982 A SAS Fundamentals Course for Novice Users Joe Bellew,
Roger B. Glaser,
Clark M. Roberts		 source 8
SUGI 1982 An Information and Tracking System for Surveys Carl B. Backman,
Cathryn Gust		 source 3
SUGI 1982 Analysis of Effects on Variances Using GLM Robert M. Hamer,
Barry H. Schwab		 source 5
SUGI 1982 Approaches to Estimating Covariance Matrices with Partial Multinomial Data Mark W. Riggs,
W.B. Smith		 source 10
SUGI 1982 ASPP: Automated SAS Program Producer Theresa J. Hart,
David A. Pyne		 source 4
SUGI 1982 Biplotsin SAS Michael C. Tsianco source
SUGI 1982 Efficient Statistical Consulting in the Small University Environment David M. Smith source 3
SUGI 1982 Environmetrics of Synfuels: IV. Project Results Tracking System (PRIS) Karen L. Daniels,
Jonathan C. Goyert,
Rodney H. Strand,
Michael P. Farrell		 source 9
SUGI 1982 Interim Multipliers for Systems with Lagged Variables Arbi Ben Abdallah,
Robert P. Parks		 source 6
SUGI 1982 Iowa Survey of Dental Health: Stepwise Regression Results J.D. Beck,
J. Jakobsen,
B. Townsend		 source 5
SUGI 1982 Macros for Systematic Sample Selection and Variance Estimation from Ordered Frames Josefina A. Lago source
SUGI 1982 Managing "Not Small "Datasets in a Research Environment Jeffrey S. Bass,
Keith E. Muller,
J.C. Smith		 source 6
SUGI 1982 Minimum Sample Size Designs for Testing Interaction James E. Dunn,
Mary S. Hirsch		 source
SUGI 1982 Optimal Stratified Sampling, with an Application to Auditing Edward L. Spitznagel source 3
SUGI 1982 Parametric and Nonparametric Multiple Comparisons Using SAS Chandu M. Patel source 6
SUGI 1982 Pesticides and SAS: Data Processing for EPA Monitoring Networks Dennis W. Herrin,
David C. Moazed,
David L. Myers,
Jeanne R. Pagano,
Deborah H. Whitehorne		 source 6
SUGI 1982 Pharmacokinetic Analysis System: Structural Aspects Raymond P. Chen,
Daniel M. Wildman		 source 6
SUGI 1982 Predicting Computer Needs for Banking Robert L. Cofer source 2
SUGI 1982 Problems and Considertions in SAS/GRAPH Map Generation Mitchell J. Tuller source 4
SUGI 1982 Problems in Spatial Data Analysis Deanne Merrill source
SUGI 1982 PROC PARCAT: A Procedure for Testing Average Partial Association Ronald G. Fleming,
J. Richard Landis,
Douglas P. Schnautz		 source 6
SUGI 1982 PROC TETCORR: Correlations between Categorical and Continuous Variables. J. Philip Miller,
Michael A. Province,
Reimut Wette		 source 4
SUGI 1982 Repeated Measures ANOVA: The Multivariate Approach S. Paul Wright source 4
SUGI 1982 Robustness of Discriminant Functions Peter A. Lachenbruch source 7
SUGI 1982 SAS MACRO "REP2 "for Unweighted Means Analysis of Repeated Measures Robert V. Zupkis source 8
SUGI 1982 SAS Program for Ratio Estimates and Their Variances from Stratified Random Sampling Wayne L. Cornelius source 5
SUGI 1982 SAS Report Generator: A SAS Program to Generate SAS Code Robert L. Anderson,
M.P Koranda		 source 7
SUGI 1982 SAS/IMS-DLI Interface John S. Wallace source 8
SUGI 1982 SCAN: An Interactive Graphics SAS Procedure for Specialized Correlation Analysis of Bivariate Data David A. DeNardis,
Robert N. Rodriguez		 source 6
SUGI 1982 Some Aspects of the Rank Transform in Analysis of Variance Problems Ronald L. Iman source
SUGI 1982 Strategic Analysis for Commodity Hedging Ross Dennis,
Nelson M. Fraiman,
Murray Mohl		 source 9
SUGI 1982 The Analysis of Ecological Survey Data with SAS and EAP Robert W. Smith source
SUGI 1982 The Rank Transformation in Discriminant Analysis William Jay Conover,
Ronald L. Iman		 source 10
SUGI 1982 Training Statistical Consultants in a University Biostatistics Consulting Center Ronald G. Marks source 4
SUGI 1982 Using PROC ALSCAL to Estimate Scale Values for Unidimensional Choice Models Mark L. Davison,
Phillip K. Wood		 source 6
SUGI 1982 Using SAS for Box-Cox Transformation in Regression Analysis Ollie Frazier,
Deepak A. Keshani		 source 6
SUGI 1982 Using SAS for Estimation and Hypothesis Testing in an Unbalanced Repeated Measure Design Kenneth L. Koonce,
Charles J. Monlezun,
David D. Morris		 source 4
SUGI 1982 Variable Selection for Categorical Data Using SAS Erik J. Bergstralh,
Susan McGorray		 source 6
SUGI 1982 Weibull Regression and Hazard Estimation Jan M. Hanley,
William H. Rogers		 source 11
SUGI 1982 Weighted Sequential Hot Deck Imputation Macros Vincent G. Iannacchione source 5
SUGI 1982 Word Processing Using SAS Ross Merlin source 2
SUGI 1981 A Comparison of Several Approaches for Calculating LC50s for Binary Responses from Toxicological Experiments Charles M. Bundrick,
Jerry L. Oglesby		 source 8
SUGI 1981 A Fisheries Data Base Utilizing SAS Leanna Pristash,
George Roth,
Dan Watson		 source 4
SUGI 1981 A Macro for Two-Population Nonparametric Univariate Discriminant Analysis William A. Blattner,
Donald J. Henderson		 source 6
SUGI 1981 A SAS Macro for Calculating the Quadratic Discriminant Function Charles S. Davis source 7
SUGI 1981 A SAS Macro for EDF Goodhess-of-fit Tests Charles S. Davis source 6
SUGI 1981 A SAS Macro for Generating Patient/Subject Random Allocation Schedules James A. Bolognese source 3
SUGI 1981 An Enhancement to NPAR1WAY: Multiple Comparisons Daniel M. Chilko,
Gerald R. Hobbs		 source 2
SUGI 1981 Community Information Indices Michael P. Farrell,
C. Pennington,
H. Polovino,
Rodney H. Strand		 source
SUGI 1981 Control Charts with SAS and TSO Dale F. Kraemer,
Judy A. Stober		 source 6
SUGI 1981 Data Management Problems with a Large Medical Survey Henry A. Anderson,
Wm. Ford Calhoun,
Douglas Dorph,
James Holt		 source
SUGI 1981 Discriminant Analysis Tom R.Bohannon source
SUGI 1981 Estimating the Parameters of the Michaelis-Menten Equation Using SAS Thomas P. Capizzi,
Leonard Oppenheimer		 source 6
SUGI 1981 Geographic Area Profiling Using SAS John G. Blodgett source 5
SUGI 1981 Management of Quality Assurance Controls: Decision Support Systems Michael P. Farrell,
Rodney H. Strand		 source 5
SUGI 1981 Missing Cells Data Analysis under a Constrained "U "Model Dorinda Love Casanova source 4
SUGI 1981 Missing Data in Multivariate Linear Models: A Comparison of Several Estimation Techniques James D. Hosking source
SUGI 1981 Path Analytic Models in Human Quantitative Genetics C. Robert Cloninger,
J. Philip Miller,
John Rice		 source 6
SUGI 1981 Probability Plotting in SAS Daniel M. Chilko,
E. James Harner,
Gerald R. Hobbs		 source 6
SUGI 1981 Reading Data from an IDMS Data Base Using SAS Richard Nelson,
John Trice		 source 7
SUGI 1981 Relative Risk Estimation from Epidemiologic Studies of Matched Sets Elizabeth J. Martin,
Judith H. Mopsik,
Linda Williams Pickle		 source 5
SUGI 1981 Reprint File Management Using SAS Charles S. Davis source
SUGI 1981 Robust Measures of Scale in Outlier Detection Paul W. Fingerman source 6
SUGI 1981 Robust Modeling of Data Using PROC MATRIX Anthony A. Billings,
E. James Harner,
Ronald D.King		 source
SUGI 1981 SAS as a System Programmer's Tool James D. Oleksiw source
SUGI 1981 SAS Outlier Macros: A Banking Problem James A. Calloway,
William L. Seaver		 source 5
SUGI 1981 Similarity Measures: SAS Macros for Calculating Rank Correlations and Jackknife Estimates of NESS Indices Pauline L. McCreight,
John M. Rinehart		 source
SUGI 1981 Teaching SAS to Experienced Applications Systems Analysts Chapman P. Gleason source 3
SUGI 1981 Teaching SAS to the Entry-Level Programmer Debbie D. Wilson source 3
SUGI 1981 The Cell Means Model: Evaluating GLM Type III and IV Sums of Squares for Linear Models with Missing Cells Richard L. Miller source 8
SUGI 1981 The Effect of Sample Size on the True Alpha Level with FUNCAT: A Simulation Study John L. Stedl source 4
SUGI 1981 The Implementation of SAS via SUPERWYLBUR at Air Products and Chemicals, Inc . Thomas J. Bzik,
T. J. Cenna		 source 5
SUGI 1981 The Statistical Consultant's Dilemma: Providing Help at the Level of Need or the Level of Knowledge John W. Philpot source 4
SUGI 1981 Two-way Analysis of Variance in Computer Statistical Packages: A Comparison of SPSS, BMDP, and RUMMAGE to SAS GLM David W. Garton,
Kenneth L. Koonce		 source 6
SUGI 1981 Type I Error Rates for the Unequal Variance T Test J. Philip Miller,
Robert P. Parks,
Reimut Wette		 source
SUGI 1981 Using CMS SAS in Conjunction with IBM's System R Relational Data Base Management System J. P. Maile,
T. J. Vidmar		 source 4
SUGI 1981 Using SAS to Evaluate an Area Sampling Frame for Agricultural Surveys Ron Fesco,
Jeff Geuder,
Van Johnson		 source 6
SUGI 1981 Using SAS with the IBM 3800 and 6670 James D. Oleksiw source 7
SUGI 1981 Using Spatial Statistics to Produce Risk Qualified Maps R. A. Bilonick source
SUGI 1981 Variance Estimates from Complex Survey Data: The Balanced Half-Sample Replication Procedure Josefina A. Lago source 5
SUGI 1980 A Direct Access Method for Information Retrieval from SAS Data Bases Frank C. Dilorio,
Kenneth A. Hardy,
James D. Hosking		 source 5
SUGI 1980 A Macro for Multivariate Randomization Analyses of Stratified Sample Data Ingrid A. Amara,
Gary G. Koch		 source 11
SUGI 1980 A Measure of Predictive Performance for Estimation When the Predicted Value is a Probability Josefina A. Lago source 6
SUGI 1980 A SAS Macro for Computing the Kappa Statistic to Assess Reliability John Helzer,
John Rice,
Edward L. Spitznagel		 source 5
SUGI 1980 A SAS Macro for Evaluation of Regression Experimental Designs Paul J. Von Doehren source
SUGI 1980 Analysis of a Fragmented Time Series Using GLM James E. Dunn source
SUGI 1980 Fitting Time Series Using SAS David M. DeLong source 5
SUGI 1980 Further Properties of the Pair Chart John L. Stedl source 1
SUGI 1980 Implementation of an Automated Survey Control System Using SAS Morse F. Kalt source 5
SUGI 1980 Interfacing SAS with RAPID (Relational Access Processor for Integrated Databases) Herbert L. Cover source 6
SUGI 1980 Jacknife Techniques in Regression Analysis Anthony A. Billings,
Daniel M. Chilko,
Gerald R. Hobbs,
Paul Hshieh,
Ronald D.King		 source 5
SUGI 1980 Least Squares Means in the Fixed Effect Analysis of Variance Kenneth L. Koonce,
F. Michael Speed		 source
SUGI 1980 Management and Analysis of Data from an In-Use Fuel Economy Test Gwendolyn H. Walton source 3
SUGI 1980 Measuring CPU Power via Hardware Monitor Terry L. Flynn source 3
SUGI 1980 MRR: A New Approach to Ridge Regression Using SAS T. Janakiraman,
Lawrence C. Marsh		 source 5
SUGI 1980 n Annotated Guide to the Analysis of Linear Models Using SAS Rudolf J. Freund,
Ramon C. Littell		 source 6
SUGI 1980 On-line SAS Sample and Support Library Alan Wren Maloney source 7
SUGI 1980 PROC ITEM - An Item Analysis Procedure Cynthia Deitz,
David A. Smith		 source 5
SUGI 1980 PROC MATPAR: A SAS Procedure for Calculating Matched-Pair Partial Correlations Robert E. Johnson,
Dana Quade		 source 6
SUGI 1980 Procedure TABLES: A Two-way Table Generator with Statistics for Control Versus Treated Comparisons George F. Fraction,
S. Stanley Young		 source
SUGI 1980 Quality Assurance Controls in Research Data Base Management: Nonsense Codes in Hierarchical File Structures Steven P. Cobb,
Karen L. Daniels,
Michael P. Farrell,
A. Dale Magoun,
C. H. Pennington,
Harold Schramm,
Rodney H. Strand		 source 5
SUGI 1980 Recent Developments in BMDP of Special Interest to SAS Users James W. Frane source 8
SUGI 1980 SAS as a Central Statistical System Peter Beutel source 4
SUGI 1980 SAS Functions to Compute Chi-Squared, F, and T Distributions and Their Inverses Allowing for Noncentrality and Fractional Decrees of Freedom C. David Hardison,
Richard D. Langston,
Dana Quade		 source 4
SUGI 1980 SAS Sample Selection Macros James R. Chromy,
Rick L. Williams		 source 5
SUGI 1980 Scientific Data Management and Analysis Steve Dassin,
John J. Frey,
George F. Griffin,
John McKenna		 source
SUGI 1980 SHAPE: An Interactive Graphics SAS Procedure for Fitting Histograms Robert N. Rodriguez source 6
SUGI 1980 Teaching Statistical Computing: A Comparison of Videotape and Classroom Methodologies John C. Boling source 4
SUGI 1980 The DISCRIM Procedure in SAS: A Comparative Analysis Emma L. Frazier source 5
SUGI 1980 Using SAS to Group Sets of Exponential Populations Curtis K. Church,
William J. Wilson		 source 3
SUGI 1979 A Class of Invertible Functions for Analysis of Categorical Response Using Linear Models Gloria Cappy,
James E. Dunn		 source 6
SUGI 1979 A Multivariate Approach to the Analysis of a Repeated Measures Experiment Using SAS Rocco L. Brunelle,
David W. Johnson		 source 5
SUGI 1979 A SAS Macro for a Distribution-free Test for the Parallelism of Two Regression Lines Sandra Novinger,
Robert Rogers		 source 6
SUGI 1979 A SAS Macro for Plotting "Pair Chart" and Obtaining Two Sample Mann-Whitney, Wilcoxon, and Kolmogorov-Smirnov Statistics Kenneth A. Hardy,
Again N. Sinha		 source 12
SUGI 1979 A SAS Macro for Selecting a Random Sample of Data Points from a SAS Database W. S. Cash,
K. Martin		 source 4
SUGI 1979 A SAS-AUTOGRP Interface for the Analysis of Hospital Discharge Data Michael B. Bracken,
Robert F. Elia,
Daniel H. Freeman Jr.,
Jean L. Freeman		 source 7
SUGI 1979 A SAS-VSPC Interface for Handling Library Functions Sandra T. Cowen,
David J. Cowen		 source 3
SUGI 1979 A Short Note on Discrete Event Simulation in SAS Douglas L. Anderton,
Audie R. Brewton		 source 2
SUGI 1979 Estimating Passenger Demands from Truncated Samples Franklin S. Young source 5
SUGI 1979 File Definition "Macros "for Census Public Use Samples Jean B. Holzer source 5
SUGI 1979 Modular Report Writing in-a Clinical-Environment-Using SAS Robert J. Bronstein source 5
SUGI 1979 SAS as a Management Tool for Course Registration and Grading Edward L. Spitznagel source 4
SUGI 1979 The Preparation and Publication of a Toxic Effects Document Using SAS and COM R. M. Anderson,
R. M. Cushman,
S. G. Hildebrand,
Rodney H. Strand		 source
SUGI 1979 The Procedure DURBIN M. E. McBride,
Robert P. Parks		 source 6
SUGI 1979 Trimmed Means, Medians, and Robust Tests of Homogeneity of Variance Donald J. Henderson source 6
SUGI 1979 Using SAS for Soil Test Reporting Jeannie M. Currin,
Hoke S. Hill		 source 4
SUGI 1978 Generating Multivariate Normal Data in SAS Daniel M. Chilko,
E. James Harner		 source 4
SUGI 1978 KRUWALC, A Macro for Categorical Data Donald J. Henderson source 5
SUGI 1978 Maximum Likelihood Estimation of the Multivariate Logistic Martha McCrate,
Michael A. Province,
Reimut Wette		 source 3
SUGI 1978 Multivariate Prediction of Neonatal Mortality with Emphasis on Health Care Inputs Merwyn R. Greenlick,
Jonathan D. Quick		 source 6
SUGI 1978 Nonlinear Model for Pesticide Accumulation in Selected Estuarine Species Lowell H. Bahner,
Jerry L. Oglesby		 source 5
SUGI 1978 Repeated Measures in SAS John A. Courtright source 5
SUGI 1978 SAS Applications in a Three-Course Sequence in Statistical Computing Thomas A. Bubolz,
James E. Gentle		 source 7
SUGI 1978 Some Applications of the Discriminant Function Procedure Emilio A. Icaza,
Kenneth L. Koonce		 source 4
SUGI 1978 Stability Scheduling Using SAS Robert J. Bronstein source 5
SUGI 1978 The Data Base Approach at the Bureau of Labor Statistics Rudolph C. Mendelssohn source 4
SUGI 1978 The LIFETEST Procedure for Analyzing Reliability Data Hoke S. Hill,
Frederick W. Morgan,
Richard Nelson		 source 3
SUGI 1978 Using Software Physics to Size Workloads with SAS Kenneth W. Kolence source 5
SUGI 1977 A Parsimonious Approach to Data Transformations J. Philip Miller source 5
SUGI 1977 A SAS76 Data Management System Design Ingrid A. Amara source 13
SUGI 1977 DATALOOK, a Series of Macros for Descriptive Statistics William R. Gjertsen source 7
SUGI 1977 Histogram Creation with SAS Program Statements Rodney H. Strand,
M. L. Tharp		 source 2
SUGI 1977 Hospital Survey Data Management Using SAS76 Philip James Busby source 6
SUGI 1977 Interfacing a General Factoring Program with SAS: PROC MUFACT Richard J. Hoffman,
Joseph C. Simpson		 source
SUGI 1977 PROCEDURE WILCOX - A SAS-76 Procedure for Estimating the Ratio of Two Random Variables K. Deva Kumar,
Rodney H. Strand		 source 6
SUGI 1977 Producing Kolmogorov-Smirnov Statistics and Plotting Empirical Distributions William R. Gjertsen,
Frank E. Harrell Jr.		 source 7
SUGI 1977 Retrieval and Reporting of System Data Sets John P. Sall source 7
SUGI 1977 Using SAS for Multivariate Analysis When the Variance Matrix Is Singular William J. Wilson source 3
SUGI.ONE 1976 A Comparison of BMD, SAS and SPSS T. Papaioannou,
G.P.H. Styan,
L.L. Ward		 source 21
SUGI.ONE 1976 Discriminant or Cluster Analysis Paul D. Hopkins,
Harold F. Huddleston		 source 11
SUGI.ONE 1976 Econometric Uses of SAS Max Moszer,
Martha S. Shuler		 source 26
SUGI.ONE 1976 Tutorial on Procedure Writing John P. Sall source 9
SUGI.ONE 1976 Using SAS for Univariate Time Series Analysis via the Box Jenkins Technique Mark J. Nicolich source 20

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