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1406 papers and 36 presentations; 1214 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
WUSS 2026 SQL Everywhere! Reuse your PROC SQL Code in R and Python with DuckDB Matthew T. Slaughter,
Isaiah Lankham,
Kirk Paul Lafler		 source 19
WUSS 2026 The Battle of the Titans (Part II): PROC REPORT versus PROC TABULATE Kirk Paul Lafler,
Joshua M. Horstman,
Ben Cochran,
Ray Pass,
Daniel E. Bruns		 source 18
PharmaSUG CN 2026 A Comprehensive R Shiny Application for Pharmacokinetic Analysis Keyi Zhang source 17
PharmaSUG CN 2026 Safety Estimands and Analysis Dataset Design: Advancing Safety Evaluation in Clinical Trials Kun Ren,
Zeyu Guang		 source 11
PharmaSUG 2026 A Standardized R Graph Library for Production-Ready Analysis Figures Chunting Zheng,
Margaret Huang,
Xindai Hu		 source 19
PharmaSUG 2026 Appreciating PROC SUMMARY/MEANS in Many NWAYS vs Summary Function in R Brian K. Varney source 8
PharmaSUG 2026 Efficiency Techniques in SAS 9.4 Stephen B. Sloan source 9
PharmaSUG 2026 Evaluation of Azure OpenAI ChatGPT API as Code Assistance Tools for Statistical Programming in SAS, R and Python. Ajay Gupta,
Misikir Tesfaye		 source 25
PharmaSUG 2026 Has your SAS being 'MEAN' to your data yet? Ruth Marisol Rivera Barragan,
Isaac Vazquez		 source 8
PharmaSUG 2026 Optimizing Clinical TFL Review with Python and Power BI: A Reproducible Workflow to Reduce QC Time and Improve Traceability Vijaya Lakshmi Cherakam,
Latha Donapati		 source 10
PharmaSUG 2026 PSMATCH: Propensity Score Matching of Clinical Trial Data with External Control Arms Ginger Barlow source 8
PharmaSUG 2026 Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy Girish Kankipati,
Bala Rajesh Jakka		 source 20
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 Programming techniques for efficiency and code optimization Jayanth Iyengar source 27
PharmaSUG 2026 Streamlining Workflows in Real-World Evidence Studies with an R-Based Automation Tool Lihai Song source 16
PharmaSUG 2026 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PHUSE US 2026 Adopting gtsummary at Scale: How Roche Built a Companion to gtsummary to Standardise and Simplify ARD-Based Reporting Daniel Sjoberg source
presentation source		 3
PHUSE US 2026 Anonymisation Strategies for Policy 0070 and PRCI Submissions [presentation] Stuart Donald source 16
PHUSE US 2026 Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages [presentation] Blazej (Moni) Neradilek,
Chenchen Yu		 source 14
PHUSE US 2026 CDISC ARS Template Code: Gearing Up with Automation in TFL Programming Malan Bosman,
Anna Yaggi		 source
presentation source		 7
PHUSE US 2026 Data Diaries Don't Lie: Stats That Spot ePRO Risks Steven A. Gilbert,
Nechama Katan		 source
presentation source		 12
PHUSE US 2026 Framework for Incorporating Estimands within the Statistical Analysis Plan Inderjeet Arora source
presentation source		 9
PHUSE US 2026 Metadata-Driven TFL Generation: End-to-End Automation from Protocol to Output Bill Qubeck source
presentation source		 12
PHUSE APAC 2026 Decimal calculation on BDS parameter Rupal Rani Bhanja source
presentation source		 6
PHUSE APAC 2026 Reimagining Clinical Data Exploration: Animated Data Visualizations for Interactive Clinical Trial Storytelling Tony Mathew source
presentation source		 6
PHUSE APAC 2026 SAS to Python: A Hands-On Cheat Sheet for Statistical Programmers Jagadish Katam source
presentation source		 10
PHUSE EU 2025 AI Chatbot in an SCE Shivoy Pandita,
Marc Jantke		 source
presentation source		 8
PHUSE EU 2025 Building Reusable Precision Logic in SAS Using PROC FCMP Mariam Babayan,
Syuzanna Simonyan		 source
presentation source		 6
PHUSE EU 2025 IDD'AI: Automating the Tedious So You Can Focus on the Genius Lionel Debecq,
Samantha Cambier		 source
presentation source		 8
PHUSE EU 2025 Leveraging on R packages for HTA Analysis & Reporting: Our Developer Journey Jean Muller,
Wenyu Li		 source
presentation source		 8
PHUSE EU 2025 Visualising the Invisible: Patient Journey with Waterfall, Spider and Swimmer Plots Varsha Mithun Patil,
Sunita Poojary		 source
presentation source		 14
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 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
SESUG 2025 AP Statistics and SaS Immanuel Pulavarti 8
SESUG 2025 DOT My SAS Program Ahmed Al-Attar 10
SESUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan 9
SESUG 2025 Going from Zero to Report Ready with PROC TABULATE Rachel Straney 13
SESUG 2025 Investigation of the Wage Gap between Sexes in Agriculture Jordyne Lewis 10
WUSS 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 A SAS Macro Calculating Confidence Intervals of the Difference in Binomial Proportions from Stratified Analysis using the Miettinen & Nurminen Method with Cochran-Mantel-Haenszel Weights Mikhail Melikov,
Brian Mosier		 source 9
PharmaSUG 2025 AI-Assisted Transition: from SAS to RStudio for PK Summary Analysis Shiqi Lin source 9
PharmaSUG 2025 Automating Superscript Display for Upper and Lower Limit of Quantification Values in Pharmacodynamic Tables Anu Eldho 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 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 Efficiency Techniques in SAS 9 Stephen B. Sloan source 9
PharmaSUG 2025 How to compute common clinical trials statistics in R Oleksandr Babych source 15
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 Name That ADaM Dataset Structure Nancy Brucken 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 Metaprogramming in R Sudhir Kedare,
Rajprakash Chennamaneni		 source
presentation source		 5
MWSUG 2024 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
MWSUG 2024 Vaping Trends: Analyzing Patterns and Predictive Factors in Electronic Cigarette Use among American Youth Medha Haldar,
Carol Antony,
Rishanki Jain		 source 12
MWSUG 2024 Visual Analytics 101: From ETL to Dashboard [presentation] Charu Shankar,
Marty Hultgren		 source 90
PHUSE EU 2024 A programmer's introduction to modelling with proc mixed, focusing on how to debug and validate, common mistakes and how to interpret the output George Gibson source
presentation source		 6
PHUSE EU 2024 Automating Real-World Data Analysis Using R Packages and Shiny: A Three-Stage Workflow Stavros Oikonomou,
Louise Raiteri		 source
presentation source		 8
PHUSE EU 2024 De-Identification of Participant Data for Public Disclosure Nicola Perry source
poster source		 7
PHUSE EU 2024 Strategies to Improve Understanding of Estimands and Analysis Section of Statistical Analysis Plan Inderjeet Arora source
presentation source		 8
SESUG 2024 An Integrative Analyzer for Publicly Available COVID-19 Genome-wide Association Studies Zhongshan Cheng source 14
SESUG 2024 SAS and Analytical Research: A Primer for Qualitative Analysis Kelly D. Smith source 8
SESUG 2024 This Works on So Many Levels: Building Summary Tables in SAS with Hash Programming David V. Cole 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
WUSS 2024 iCSR: A Wormhole to Interactive Data Exploration Universe Sudhir Kedare,
Steve Wade		 source 7
WUSS 2024 It's All About the Base-Procedures Jane Eslinger source 20
WUSS 2024 Regression Analysis Made Easy Using SAS Studio Zheyuan (Walter) Yu source 42
WUSS 2024 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
PharmaSUG CN 2024 Enhancing SAS Programming Efficiency with Large Language Models (LLMs) Guangyong Li,
Junkai Zhao		 source 15
PharmaSUG 2024 AutoVis Oncology Presenter: Automated Python-Driven Statistical Analysis and Visualizations for Powerful Presentations Indraneel Narisetty source 12
PharmaSUG 2024 Game changer! The new CDISC ADaM domain ADNCA for PK/PD data analysis Santosh Ranjan source 7
PharmaSUG 2024 iCSR: A Wormhole to Interactive Data Exploration Universe Sudhir Kedare,
Steve Wade,
Chen Yang,
Matthew Travell,
Jagan Mohan Achi		 source 7
PharmaSUG 2024 Integrity, Please: Three Techniques for One-Step Solution in Pharmaceutical Programming Jason J. Su source 15
PharmaSUG 2024 Leveraging ChatGPT in Statistical Programming in the Pharmaceutical Industry Ian Sturdy source 24
PharmaSUG 2024 Shift gears with "gt": Finely tuned clinical reporting in R using "gt" and "gt summary" packages Rajprakash Chennamaneni,
Sudhir Kedare,
Jagan Mohan Achi		 source 6
PharmaSUG 2024 Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] Flora Mulkey source 48
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 Analysis of Same Objective - Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? Pradeep Acharya,
Ephicacy Lifescience		 source
presentation source		 9
PHUSE US 2024 Effortless Table Generation: A SAS Macro for Streamlining Your Workflow Zhen (Laura) Li source
presentation source		 12
PHUSE US 2024 iCSR: A Wormhole to the Interactive Data Exploration Universe Sudhir Kedare,
Steve Wade		 source
presentation source		 7
PHUSE EU 2023 Multiple Myeloma: Challenges in identifying regimen modification for a given line of Chemotherapy Mrityunjay Kumar,
Ephicacy Lifescience,
Shailesh Gupte		 source
presentation source		 7
PHUSE EU 2023 R You Ready to Join the RBQM Revolution? Introducing rbqmR Jeremy Howells,
Rohan Palanganda		 source
presentation source		 4
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 Structural Equation Modelling of Quality of Life in Adults with Down's Syndrome in Nigeria [presentation] Ogochukwu Ijezie,
Philip Davies		 source 15
PHUSE EU 2023 TFL Automation the CDISC 360 Way Alison Macnab,
John McDade		 source
presentation source		 12
PHUSE EU 2023 The Forgotten Outputs - Data for ClinicalTrials.gov and EudraCT Erik Brun source
presentation source		 5
PHUSE EU 2023 Transparent is the New Black - Improving Data Findability Through Better Clinical Metadata Lukas Kniola source
presentation source		 16
WUSS 2023 An Overview of the SASSY System David J. Bosak source 16
WUSS 2023 Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics Colleen E. McGahan source 15
WUSS 2023 Open-Source Essentials HOW - R and RStudio Wendy Christensen source 17
WUSS 2023 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
WUSS 2023 Regression Analysis Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Nicklas (Rebel) Yee,
Yanzhang Gavin Chen,
Kai Kang		 source 43
SESUG 2023 Introduction to Principal Components and Factor Analysis Jason Brinkley source 16
SESUG 2023 Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples Yaa Awuah,
Mostafa Zahed		 source 19
SESUG 2023 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2023 Regression Analysis Made Easy Using SAS Studio Kirk Paul Lafler,
Zheyuan (Walter) Yu,
Nuoer Lu,
Daniel Qian,
Kai Kang,
Yanzhang Gavin Chen,
Nicklas (Rebel) Yee,
Yixuan (Jason) Xiang		 source 43
SESUG 2023 The Everytown Research database: Using SAS analytic procedures to analyze mass shootings Jayanth Iyengar source 31
SESUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 25
PharmaSUG 2023 Battle of the Titans (Part II): PROC REPORT versus PROC TABULATE Kirk Paul Lafler,
Joshua M. Horstman,
Ben Cochran,
Ray Pass,
Daniel E. Bruns		 source 18
PharmaSUG 2023 BIMO Package: Challenges and Perspectives while keeping up with the upgrades in the BIMO Technical Conformance Guide and the BDRG Guidelines Mathura P. Ramanathan,
Sowmya Gabbula		 source 18
PharmaSUG 2023 CMS VRDC - A simplified overview. What to expect in terms of data, system, code. Zeke Torres source 22
PharmaSUG 2023 Smart Use of SAS Output System and SAS Macro for Statistic Test Selection Mengxi Wang source 10
PharmaSUG 2023 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PharmaSUG 2023 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2023 Was the load okay? Lisa Eckler,
Lisa Eckler		 source 22
PHUSE US 2023 SPECification DOCument (SPECDOC): Automating Text for Data Description, Statistical Methods, and Analysis Results for Medical Communications [presentation] Michael Pannucci source 20
PHUSE US 2023 The FiguRes Package for Supporting Large Scale Figure Production with Applications to Clinical Trial Reporting Efforts Greg Cicconetti source
presentation source		 19
PHUSE US 2023 Tidytlg: An R Package for Clinical Reporting Using Tidyverse Sheng-Wei Wang source
presentation source		 9
PHUSE EU 2022 How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] Alexey Kuznetsov,
Jorine Putter		 source
video		 15
PHUSE EU 2022 Leveraging Information from Healthy Volunteers' Placebo Data [presentation] Koen Ven source
video		 17
PHUSE EU 2022 SanityCheckR: data quality control with R Shiny Diana L. Santos Ferreira source
poster source		 5
SESUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
SESUG 2022 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2022 The Battle of the Titans (Part II): PROC REPORT versus PROC TABULATE Kirk Paul Lafler,
Joshua M. Horstman,
Ben Cochran,
Ray Pass,
Daniel E. Bruns		 source 17
SESUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
SESUG 2022 Using SAS Macro and ODS Output to efficiently examine the descriptive and analytic statistics in epidemiology studies Yue Pan source 7
WUSS 2022 Did the load work? Lisa Eckler source 18
WUSS 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
WUSS 2022 Generating Simple Statistics with Base SAS Procedures Jane Eslinger source 9
WUSS 2022 The Battle of the Titans (Part II): PROC REPORT versus PROC TABULATE Kirk Paul Lafler,
Ben Cochran,
Joshua M. Horstman,
Ray Pass,
Daniel E. Bruns		 source 15
WUSS 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PharmaSUG 2022 Functions (and More!) on CALL! Richann J. Watson,
Louise S. Hadden		 source 33
PharmaSUG 2022 Rita: Automated Transformations, Normality Testing, and Reporting Daniel Mattei source 15
PharmaSUG 2022 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 5
PharmaSUG 2022 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
PHUSE EU 2021 A Beginner's Guide to Data Analysis Shuva Dey source
video		 15
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 Statistical Training for Health Technology Assessment Statistical Programmers Anastasia Kokoreva,
William Malbecq		 source
video
presentation source		 7
PHUSE EU 2021 Using Modular Programming to Create Mean Plots and Adverse Event Frequency Plots [presentation] Claus Stenberg source
video		 28
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 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PHUSE US 2021 Oncology Trial Endpoint Tracking Using RShiny [presentation] Kavitha Nagarajan,
Michael Briganti		 source
video		 19
PHUSE US 2021 Visualizations to Support DSMB Monitoring [presentation] Derek Coombs source
video		 14
PharmaSUG 2021 How to Write a SAS Open Code Macro to Achieve Faster Updates Frederick A. Cieri source 32
PharmaSUG 2021 R-Shiny based customized data viewer and search engine Hrideep Antony,
Aman Bahl		 source 5
PharmaSUG 2021 Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers Yun (Julie) Zhuo source 10
PharmaSUG 2021 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
PharmaSUG 2021 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar source 24
SGF 2021 Reporting Correlation Coefficient Results and Plots: A SAS Macro That Does It All Zhengming Chen,
Bowen Zheng		 source
presentation		 11
SGF 2021 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 4
PHUSE EU 2020 It's All About the Base-Procedures Jane Eslinger source
video
presentation source		 18
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 Migrating Your Clinical Development Environment to the Cloud [presentation] Antoine Maison,
Daniel Christen		 source
video		 19
PHUSE EU 2020 SAS v. R vs. Python - A Comparison of Data Exploration Techniques Nathanael Cockburn source
video
presentation source		 12
PHUSE EU 2020 Scaling up for the SQL payoff, the most efficient way to code Matt Metherell source
video
presentation source		 8
SESUG 2020 Data Step versus Everybody: Approaching Problems as a Beginning Coder Brian K. Varney source 13
SESUG 2020 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2020 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SGF 2020 Best Practices in SAS Programming to Support Ever-Increasing Data Loads. John Schmitz source 15
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 It's All about the Base-Procedures, Part 2 Jane Eslinger source 20
SGF 2020 Machine Learning Approach to Combat the Opioid Epidemic Navjot Kaur source 15
SGF 2020 Moving from Messy Data to a Clean Analytic Dataset: Common Data Management Techniques using SAS Bethany A. Bell source 27
SGF 2020 Recent Developments in Survival Analysis with SAS Software G. Gordon Brown source 9
SGF 2020 Twenty Ways to Run Your SAS Programs Faster and Use Less Space Stephen B. Sloan source 5
SGF 2020 Visualizing Geographical Data with a Tile Grid Map in SAS Lingxiao Li source 13
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 A Brief Introduction to Performing Statistical Analysis in SAS, R & Python Erica Goodrich,
Daniel Sturgeon		 source 22
PharmaSUG 2020 Automate your Safety tables using Artificial Intelligence & Machine Learning Roshan Stanly,
Ajith Baby Sadasivan,
Limna Salim		 source 8
PharmaSUG 2020 It's All about the Base-Procedures, Part 2 Jane Eslinger source 20
PharmaSUG 2020 Natural History Study - A Gateway to Treat Rare Disease Tabassum Ambia source 5
PharmaSUG 2020 Sometimes SQL Really Is Better: A Beginner's Guide to SQL Coding for DATA Step Users Brett Jepson source 16
PHUSE US 2020 Are There Any Better Options than SAS for TFLs? Yes, There R! Niccolo Bassani 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 EU 2019 An Introduction to Python: The SAS Programmer's Guide Bradley Harris source
presentation source		 8
PHUSE EU 2019 Innovative SQLs Joseph Murphy source
presentation source		 8
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 R or Python? Dilemma, Dilemma Elsa Lozachmeur,
Nicolas Dupuis		 source
presentation source		 18
SESUG 2019 Data Step versus Everybody: Approaching Problems as a Beginning Coder Brian K. Varney source 12
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 Improving Employee Satisfaction Through Text Analytics Luis David Martinez source 15
SESUG 2019 JMP's Visualization Analysis of SESUG Conference Attendance from 2008- 2018 Melvin T. Alexander source 20
SESUG 2019 Market Basket Analysis on Instacart Aravind Dhanabal source 16
SESUG 2019 Medians/quartiles are shown for continuous data and counts/percentages are shown for categorical data Martha Wetzel source 5
SESUG 2019 Prediction of College Admission Trend Predictive Analytics 2019 Final Paper Yash Prakash source 8
SESUG 2019 Probability Plots for Exploratory Data Analysis Dennis J. Beal,
Oak Ridge		 source 8
SESUG 2019 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 18
SESUG 2019 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
SESUG 2019 The Battle of the Titans (Part II): PROC TABULATE versus PROC REPORT Kirk Paul Lafler,
Ben Cochran,
Joshua M. Horstman,
Ray Pass		 source 15
SESUG 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2019 Using PROC TABULATE and ODS Style Options to Make Really Great Tables Wendi L. Wright source 19
SESUG 2019 Using SAS to examine peripheral intravenous access using ultrasound guided Abbas S. Tavakoli,
Courtney Prince,
Stephanie Burgess		 source 6
SCSUG 2019 A Simple Method of Creating Custom Excel Reports Jimmy A. DeFoor 16
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 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
SCSUG 2019 Working with Customer Contact Data Jon Purvis source 9
MWSUG 2019 3 ways to get Pretty Excel-Style Tables: PROC REPORT, PROC TABULATE, and Help from SAS Enterprise Guide Brooke Ellen Delgoffe 16
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 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
MWSUG 2019 Why Admitted Students Opt-out of College Enrollment? Manasi Murde,
Miriam McGaugh		 13
PharmaSUG 2019 Create publication-ready variable summary table using SAS macro Geliang Gan source 12
PharmaSUG 2019 It's All About the Base-Procedures Jane Eslinger source 20
PharmaSUG 2019 Not That Dummy Data Yuliia Bahatska source 10
PharmaSUG 2019 One Macro to Produce Descriptive Statistic Summary Tables with P-Values Rajaram Venkatesan,
Harinarayanan Gopichandran		 source 14
PharmaSUG 2019 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 7
PharmaSUG 2019 With a Trace: Making Procedural Output and ODS Output Objects Work For You Louise S. Hadden source 26
SGF 2019 An ETL Macro Toolbox: Simplify How You Add Class Variables and Low Volume Limits Zeke Torres source 22
SGF 2019 Identifying Seasonality and Trend with a Cycle Plot in SAS Lingxiao Li source 10
SGF 2019 Interaction between SAS and Python for Data Handling and Visualization Yohei Takanami source 22
SGF 2019 It's All About the Base-Procedures Jane Eslinger source 21
SGF 2019 Sometimes SQL Really Is Better: A Beginner's Guide to SQL Coding for DATA Step Users Brett Jepson source 17
SGF 2019 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 6
SGF 2019 Utilization of Python in Clinical Study by SASPy Yuichi Nakajima source 15
SGF 2019 Working with ODS Trace Statement and ODS Output Objects Louise S. Hadden source 26
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 Check Your Data: Tools for Automating Data Assessment Paul Stutzman source
presentation source		 10
SCSUG 2018 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 source 16
PHUSE EU 2018 Big Datasets Seen as a Big Problem and How to Deal With Them Daniil Shliakhow source
presentation source		 5
PHUSE EU 2018 Collinearity in Mixed Models John Hendrickx source
presentation source		 11
PHUSE EU 2018 Cool Stuff in SAS Studio Alastair Scarlett source
poster source		 1
SESUG 2018 A Beginner's Babblefish: Basic Skills for Translation Between R and SAS Sarah Woodruff source 19
SESUG 2018 Automated Comparison Tables using PROC REPORT Evan Kwiatkowski source 6
SESUG 2018 Going from Zero to Report Ready with PROC TABULATE Rachel Straney source 13
SESUG 2018 Predicting the Risk of Attrition for Undergraduate Students using SAS Enterprise Miner Sivateja Reddy Kandula source 12
SESUG 2018 PROC SQL - GET "INTO:" IT! Kelly Schlessman source 5
SESUG 2018 Proc SQL in Twenty Minutes John J. Cohen source 11
SESUG 2018 Reducing the Space Requirements of SAS Data Sets without Sacrificing any Variables or Observations Stephen B. Sloan source 6
SESUG 2018 Table Taming - Using ODS to Simplify Data Presentation Emily Perry source 12
SESUG 2018 Twenty Ways to Run Your SAS Program Faster and Use Less Space Stephen B. Sloan source 4
SESUG 2018 Using PROC TABULATE and ODS Style Options to Make Really Great Tables Wendi L. Wright source 19
SESUG 2018 Using SAS to create HTML codebooks and more! Ethan Ritchie source 9
MWSUG 2018 Factors Responsible for Students' Enrollment at Oklahoma State University Parag Vilas Sasturkar 6
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 Understanding Administrative Healthcare Datasets using SAS programming tools Jayanth Iyengar 24
MWSUG 2018 Use of SAS Macros to automate the Production of Statistical Process Control Charts Lynn (Xiaohong) Liu,
Roderick Jones		 20
MWSUG 2018 Using Multilabel Formats with PROC SUMMARY to Generate Report Data with Overlapping Time Segments John Schmitz 11
PHUSE US 2018 Adverse Event Analysis - One step forward! Anuja Rasal source
presentation source		 11
PharmaSUG 2018 Manipulating Statistical and Other Procedure Output to Get the Results That You Need Vincent DelGobbo source 37
PharmaSUG 2018 Using SAS GTL to Visualize Data When there is Too Much of It to Visualize Nathaniel Derby,
Perry Watts		 source 22
SGF 2018 Back to Basics: Get Better Insights from Data Atrin Assa source 10
SGF 2018 Economic Capital Modeling with SAS Econometrics Mahesh V. Joshi source 19
SGF 2018 Enterprise, Prepare for Analysis! Using SAS Data Management to Prepare Data for Analysis Bob Janka source 17
SGF 2018 Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes Joseph C. Gardiner source 21
SGF 2018 Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures Gerhard Svolba source 26
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SGF 2018 Improving Game Strategies with Data Analytics: The Case of Euroleague Professional Basketball [presentation] Raha Akhavan-Tabatabaei,
Cem Yigman		 source 35
SGF 2018 Manipulating Statistical and Other Procedure Output to Get the Results That You Need Vincent DelGobbo source 37
SGF 2018 My Experiences in Adopting SAS Cloud Analytic Services into Base SAS Processes Steven Sober source 17
SGF 2018 Navigating the Analytics Life Cycle with SAS Visual Data Mining and Machine Learning Susan Haller,
Brett Wujek		 source 29
SGF 2018 Retail Product Bundling: A New Approach Bruno Nogueira source 18
SGF 2018 Shorter Waiting Time, Better Emergency Healthcare: Forecasting Stockholms' Emergency Room Visits Martin Nordberg,
Oskar Eriksson		 source 24
SGF 2018 Using SAS for Multiple Imputation and Analysis of Longitudinal Data Patricia A. Berglund source 24
SESUG 2017 Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency Kirk Paul Lafler source 10
SESUG 2017 Data movement issues: Explicit SQL Pass-Through can do the trick Kiran Venna source 8
SESUG 2017 Format-o-matic: Using Formats To Merge Data From Multiple Sources Marcus Maher,
Ipsos Public		 source 10
SESUG 2017 SAS In The Classroom: Exploratory Data Analysis with SAS Studio Jonathan W. Duggins source 20
SESUG 2017 SAS Survey Report Macro for Creating User-Friendly Descriptive Summaries Tammiee Dickenson source 16
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 Using SAS to examine the relationship between nursing attitudes towards suicidal patients in the Emergency Department (ED) Abbas S. Tavakoli,
Belinda Beaver,
Stephanie Burgess		 source 6
SESUG 2017 YAGI: a tool to help Newcomers to SAS efficiently learn Code and Syntax Steph-Yves Louis source 7
SCSUG 2017 Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency Kirk Paul Lafler source 10
SCSUG 2017 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SCSUG 2017 Removing Duplicates Using SAS Kirk Paul Lafler source 9
PHUSE EU 2017 A User Interface to Your SAS Programs Hailemichael Worku source
presentation source		 10
PHUSE EU 2017 The TFL Workbench:From Pilot to Production Iain Humphreys,
Hansjörg Frenzel		 source
presentation source		 11
MWSUG 2017 The Battle of the Titans (Part II): PROC TABULATE versus PROC REPORT Kirk Paul Lafler,
Ben Cochran,
Ray Pass		 14
WUSS 2017 A Method for Simultaneously Programming Mock and Computed Tables Michael Williams source 8
WUSS 2017 A-NEST-ED Development: A One-Step PROC SQL Trick For Comparing Transactions To Their Own Summary Statistics Using Nested Functions Ahmed Khan source 7
WUSS 2017 Analysis of Complex Survey Data with SAS Christine Wells source 6
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 Introduction to SAS Procedures: SAS Basics III Susan J. Slaughter 40
WUSS 2017 Many Means to a Mean Shannon Pileggi source 9
WUSS 2017 PROC TABULATE Made Easy Yunin Ludena,
Elizabeth Guerrero Angel		 source 15
PharmaSUG 2017 Check Your Data: Tools for Automating Data Assessment Paul Stutzman source 12
PharmaSUG 2017 Hashtag #Efficiency! An Exploration of Hash Tables and Other Techniques Lakshmi Nirmala Bavirisetty,
Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory		 source 9
PharmaSUG 2017 Innovation and Regulatory Review What is JumpStart? Alan Shapiro source 24
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 Point-and-Click Programming Using SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro,
Ryan Paul Lafler		 source 18
PharmaSUG 2017 Power of Interleaving and RETAIN Combination in Data Manipulation Zongming Pan 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 An Easy-to-Use SAS Macro for a Descriptive Statistics Table Yuanchao Zheng,
Jin Long,
Maria E. Montez-Rath		 source
pdf		 16
SGF 2017 Auto Telematics: Deviations Drive Success Kelsey Osterloo,
Deovrat Kakde		 source 12
SGF 2017 Going Green With Your SAS Applications Michael A. Raithel source 17
SGF 2017 Hands-on Graph Template Language (GTL): Part B Kriss Harris source
zip		 15
SGF 2017 Investigating Big-Data Crime Scenes Theresa H. Ngo source 10
SGF 2017 Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers Sunny Lam source 20
SGF 2017 Not So Simple: Intervals You Can Have Confidence In with Real Survey Data David A. Vandenbroucke source 12
SGF 2017 Optimizing Delivery Routes with SAS Software Ben Murphy,
Bruce Bedford		 source 13
SGF 2017 Quick Results with SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro,
Ryan Paul Lafler		 source 18
SGF 2017 Quick Results with SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro,
Ryan Paul Lafler		 source
zip		 18
SGF 2017 Removing Duplicates Using SAS Kirk Paul Lafler source 9
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 Something for Nothing? Adding Flag Variables Using Group Descriptive Statistics and PROC SQL Sunil Kumar Gupta source 8
SGF 2017 Using Python with SAS Cloud Analytic Services Kevin D. Smith,
Xiangxiang Meng		 source 23
SCSUG 2016 Contextualized Market Basket Analysis - How to learn more from your Point of Sale Data in Base SAS and SAS Enterprise Miner Andrew A. Kramer 11
SCSUG 2016 Point-and-Click Programming Using SAS Enterprise Guide Ryan Paul Lafler,
Kirk Paul Lafler,
Mira Shapiro		 source 18
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 Quick Results with SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro,
Ryan Paul Lafler		 source 18
SESUG 2016 The HPSUMMARY Procedure: A Younger (and Brawnier) Cousin to an Old SAS Friend Anh P. Kellermann,
Jeffrey D. Kromrey		 source 9
SESUG 2016 Using SAS Macros to Extract P-values from PROC FREQ Rachel Straney source 7
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
PHUSE EU 2016 eal-world Evidence: A Comparison Between Countries Edith Heintjes,
Jetty Overbeek		 source
presentation source		 7
PHUSE EU 2016 Early Data Review [presentation] Graham Oakley source
presentation
presentation source		 1
PHUSE EU 2016 Generating Analysis Results and Metadata - Report from a PHUSE CS Project Marc Andersen,
Marcelina Hungria,
Suhas R. Sanjee		 source
presentation source		 10
PHUSE EU 2016 The TFL Workbench: Tools to Standardise and Accelerate Table, Figure and Listing (TFL) Programming Iain Humphreys,
Hansjörg Frenzel		 source
presentation source		 10
PHUSE EU 2016 Top 10 Uses of Macro %VARLIST - In Proc SQL, Data Step and Elsewhere Jean-Michel Bodart source
presentation source		 12
MWSUG 2016 A Demonstration of Various Models Used in a Key Driver Analysis Steven M. LaLonde 17
MWSUG 2016 Fixed Item Parameter Calibration with MMLE-EM Using a Fixed Prior in SAS/IML Sung-Hyuck Lee,
Hongwook Suh		 7
MWSUG 2016 Hashtag #Efficiency! An Introduction to Hash Tables Lakshmi Nirmala Bavirisetty,
Deanna Naomi Schreiber-Gregory,
Kaushal Chaudhary		 10
MWSUG 2016 Removing Duplicates Using SAS Kirk Paul Lafler 9
MWSUG 2016 Your Place or Mine: Data-Driven Summary Statistic Precision Nancy Brucken 4
WUSS 2016 A SAS macro for quick descriptive statistics Jenna Carlson source 4
WUSS 2016 Descriptive Analysis of Donation Amount Data and Text Mining of Tweets on Presidential Primaries using SAS Aditya Jakkam,
Swetha Nallamala		 source 14
WUSS 2016 Did the Protocol Change Work? Interrupted Time Series Evaluation for Health Care Organizations. Carol Conell,
Alexander C. Flint		 source 14
WUSS 2016 Ditch the Data Memo: Using Macro Variables and Outer Union Corresponding in PROC SQL to Create Data Set Summary Tables Andrea Shane source 5
WUSS 2016 Employing Latent Analyses in Longitudinal Studies: An Exploration of Independently Developed SAS Procedures Deanna Naomi Schreiber-Gregory source 14
WUSS 2016 Getting it Done with PROC TABULATE Michael Williams source 14
WUSS 2016 SAS Jeopardy Natasha Chapman 46
WUSS 2016 Simulating Queuing Models in SAS Danny Rithy source 14
PharmaSUG 2016 Adding Statistics and Text to the Panel Graphs using INSET option in PROC SGPANEL Ajay Gupta source 6
PharmaSUG 2016 Best Practices: Subset Without Getting Upset Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 17
PharmaSUG 2016 Elevate your Graphics Game: Violin Plots Spencer Childress source 9
PharmaSUG 2016 Handling Interim and Incomplete Data in a Clinical Trials Setting Paul Stutzman source 13
PharmaSUG 2016 Latent Structure Analysis Procedures in SAS Deanna Naomi Schreiber-Gregory source 8
PharmaSUG 2016 Removing Duplicates Using SAS Kirk Paul Lafler source 3
PharmaSUG 2016 Using GTL Generating Customized Kaplan-Meier Survival Plots Joanne C. Zhou source 12
SGF 2016 A Descriptive Analysis of Reported Health Issues in Rural Jamaica Verlin Joseph source
presentation		 5
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 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 Latent Structure Analysis Procedures in SAS Deanna Naomi Schreiber-Gregory source 8
SGF 2016 Mastering Data Summarization with PROC SQL Christianna S. Williams source 20
SGF 2016 Missing Values: They Are NOT Nothing Justin Jia,
Shan Shan Lin		 source 19
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 The HPSUMMARY Procedure: An Old Friend's Younger (and Brawnier) Cousin Anh P. Kellermann,
Jeffrey D. Kromrey		 source
presentation		 9
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 You Can Bet on It: Missing Observations Are Preserved with the PRELOADFMT and COMPLETETYPES Options Christopher J. Boniface,
Janet Wysocki		 source 7
MWSUG 2015 'V' for ... Variable Information Functions to the Rescue Richann J. Watson,
Karl Miller		 16
MWSUG 2015 Basic SAS PROCedures for Quick Results Kirk Paul Lafler 19
MWSUG 2015 Let SAS Cleanse Your Dirty Data Kaushal Chaudhary,
Deanna Naomi Schreiber-Gregory		 13
MWSUG 2015 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
MWSUG 2015 Reading a Column into a Row to Count N-levels, Calculate Cardinality Ratio and Create Frequency and Summary Output In One Step Ronald J. Fehd 10
MWSUG 2015 Shifting Expectations: A practical algorithm for detecting level shifts using robust rolling statistics Matthew Bates 11
PHUSE EU 2015 MULTILABEL Option - Valuable Addition to PROC FORMAT (Frequency Analysis with MULTILABEL Formats) Anna Amosova source
presentation source		 9
SESUG 2015 A Beginner's Babblefish: Basic Skills for Translation Between R and SAS Sarah Woodruff source 17
SESUG 2015 A Descriptive Analysis of Reported Health Issues in Rural Jamaica Verlin Joseph source 5
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 Applications Design and Development, a case study of the EDA Summarize-Each-Variable Suite Ronald J. Fehd source 22
SESUG 2015 Having a Mean Headache on Summary Data? Using SAS to Compute Actual Data from Summary Data William 'Gui' Zupko II source 4
SESUG 2015 How Latent Structure Analysis Can Improve the Fit of a Regression Model Deanna Naomi Schreiber-Gregory source 11
SESUG 2015 Many Tables, Short Turnaround: Displaying Survey Results Quickly and Efficiently Rebecca V. Fink source 5
SESUG 2015 Point-and-Click Programming Using SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro		 source 18
SESUG 2015 PROC RANK, PROC SQL, PROC FORMAT and PROC GMAP Team Up and a (Map) Legend is Born! Christianna S. Williams,
Louise S. Hadden		 source 20
SESUG 2015 Quick Results with SAS Enterprise Guide Kirk Paul Lafler source 18
SESUG 2015 Removing Duplicates Using SAS Removing Duplicates source 4
SESUG 2015 Using SAS to Create an Effect Size Resampling Distribution for a Statistical Test Peter S. Wludyka source 10
WUSS 2015 Architecting Data Management: 7 Principles using SAS, DataFlux and SQL Bob Janka source 17
WUSS 2015 Basic SAS PROCedures for Quick Results Kirk Paul Lafler source 19
WUSS 2015 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
WUSS 2015 Latent Analysis Applications for Regression Models Deanna Naomi Schreiber-Gregory source 11
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
WUSS 2015 Quick Results with SAS Enterprise Guide Kirk Paul Lafler,
Ryan Paul Lafler		 source 18
WUSS 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Mary Federico Katz,
Jason R. Beene		 source 13
PharmaSUG 2015 Creating output datasets using SQL (Structured Query Language) only Andrii Stakhniv source 10
PharmaSUG 2015 Distributed data networks: A paradigm shift in data sharing and healthcare analytics Jennifer R. Popovic source 12
PharmaSUG 2015 Efficiently Produce Descriptive Statistic Summary Tables with SAS Macros Chunmao Wang source 3
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 Team-work and Forensic Programming: Essential Foundations of Indestructible Projects Brian P. Fairfield-Carter source 14
PharmaSUG 2015 The 5 Most Important Clinical SAS Programming Validation Steps Brian C. Shilling source 6
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
SGF 2015 Analyzing Spatial Point Patterns Using the New SPP Procedure Pradeep Mohan,
Randy Tobias		 source 20
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 Cutpoint Determination Methods in Survival Analysis Using SAS: Updated %FINDCUT Macro Jayawant N. Mandrekar,
Jeffrey P. Meyers		 source 8
SGF 2015 Efficiently Using SAS Data Views Shigui Weng,
Shy Degrace,
Ya Jiun Tsai		 source 16
SGF 2015 Forest Plotting Analysis Macro %FORESTPLOT Jeffrey P. Meyers,
Qian Shi		 source 18
SGF 2015 From Backpacks to Briefcases: Making the Transition from Grad School to a Paying Job Lauren Hall,
Elisa L. Priest		 source 6
SGF 2015 Getting Your Hands on Reproducible Graphs Rebecca Ottesen,
Leanne Goldstein		 source 19
SGF 2015 How Latent Analyses within Survey Data Can Be Valuable Additions to Any Regression Model Deanna Naomi Schreiber-Gregory source 9
SGF 2015 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
SGF 2015 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 20
SGF 2015 Need Additional Statistics in That Report? ODS OUTPUT to the Rescue! Debbie Buck source 12
SGF 2015 Nesting Multiple Box Plots and BLOCKPLOTs Using Graph Template Language and Lattice Overlay Greg Stanek source 17
SGF 2015 Operations Integration, Audits, and Performance Analysis: Getting the Most Out of SAS Environment Manager Bob Bonham,
Bryan Ellington		 source 16
SGF 2015 Preparing Students for the Real World with SAS Studio AnnMaria De Mars source 18
SGF 2015 PROC RANK, PROC SQL, PROC FORMAT and PROC GMAP Team Up and a (Map) Legend is Born! Christianna S. Williams,
Louise S. Hadden		 source 20
SGF 2015 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 19
SGF 2015 SAS and Hadoop. 4th Annual State of the Union [presentation] Paul Kent source 70
SGF 2015 Something for Nothing? Adding Group Descriptive Statistics Using SAS PROC SQL Subqueries II Sunil Kumar Gupta source 10
SGF 2015 Structuring your SAS Applications for Long-Term Survival: Reproducible Methods in Base SAS Programming Paul Thomas source
zip		 13
SGF 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Jason R. Beene,
Mary Federico Katz		 source 14
SCSUG 2014 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler 19
SCSUG 2014 Point-and-Click Programming Using SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro		 18
SESUG 2014 Evaluating Additivity of Health Effects of Exposure to Multiple Air Pollutants Given Only Summary Data Pollutants Given source 9
SESUG 2014 Evaluating and Mapping Stroke Hospitalization Costs in Florida Shamarial Roberson,
Charlotte Baker,
Jamie Forrest		 source 6
SESUG 2014 Point-and-Click Programming Using SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro		 source 18
SESUG 2014 PROC RANK, PROC SUMMARY and PROC FORMAT Team Up and a Legend is Born! Christianna S. Williams source 10
SESUG 2014 PROC SQL for PROC SUMMARY Stalwarts Christianna S. Williams source 18
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 You've used FREQ, but have you used SURVEYFREQ? Charlotte Baker source 8
PHUSE EU 2014 Big Data - Step towards High Performance Analytics Dhiraj Dabhi source
presentation source		 8
PHUSE EU 2014 Evaluating the Tradeoff between Quality of Life through Quality-Adjusted Survival Analysis Lawrence Rasouliyan source
presentation source		 12
PHUSE EU 2014 Frequency Tables - Aspects to Consider Katja Glass source
presentation source		 10
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 Basic SAS PROCedures for Quick Results Kirk Paul Lafler 18
MWSUG 2014 How Do I ...? Some Beginners FAQs Peter W. Eberhardt,
Audrey Yeo		 11
MWSUG 2014 How To Use Latent Analyses of Survey Data in a Logistic Regression Model Deanna Naomi Schreiber-Gregory 9
MWSUG 2014 Introduction to SAS Hash Objects Christopher W. Schacherer 26
MWSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers 20
MWSUG 2014 Point-and-Click Programming Using SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro		 18
MWSUG 2014 PROC SQL for DATA Step Die-Hards Christianna S. Williams 22
MWSUG 2014 Programming With CLASS: Keeping Your Options Open Arthur L. Carpenter 15
MWSUG 2014 SAS 101 For Newbies--Not Too Little, Not Too Much--Just Right Ira Shapiro 42
MWSUG 2014 The Armchair Quarterback: Writing SAS Code for the Perfect Pivot (Table, That Is) Peter W. Eberhardt 36
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
PharmaSUG CN 2014 Marco free automation to identify and drop variables with all values as missing Vamse Goutam 5
WUSS 2014 A SAS Macro to Produce Summary Statistics Tables Allowing Additional Stratification Amanda Liu,
David E. Tappe		 source 5
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 Different Ways of Calculating Percentiles Using SAS Arun Akkinapalli source 5
WUSS 2014 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 8
WUSS 2014 Getting Your Hands on Reproducible Graphics Rebecca Ottesen,
Leanne Goldstein		 source 17
WUSS 2014 Macro free automation to identify and drop variables with all values as missing Amarnath Vijayarangan,
Vamse Goutam		 source 5
WUSS 2014 Paperwork Without Tears: Completing Your Reporting Requirements in 10 Easy Steps AnnMaria De Mars source 17
WUSS 2014 Point-and-Click Programming Using SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro		 source 18
WUSS 2014 Programming With CLASS: Keeping Your Options Open Arthur L. Carpenter source 15
WUSS 2014 SAS Essentials I (or How I Learned to Stop Worrying and Love SAS) Tasha Chapman source 13
WUSS 2014 The SAS Hash Object in Action Paul M. Dorfman source 29
WUSS 2014 Using PROC FACTOR for variable inclusion in PROC SURVEYLOGISTIC: A Case Study Deanna Naomi Schreiber-Gregory source 35
WUSS 2014 You Say 'Day-ta', I Say 'Dat-a' - Processing Your DATA Efficiently and Ensuring Its Integrity Mary Federico Katz,
Jason R. Beene		 source 12
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 Atypical Application of PROC SUMMARY John Henry King source 14
PharmaSUG 2014 Evaluating the benefits of JMP for SAS programmers Xiaopeng Li,
Chun Feng,
Nancy Wang		 source 9
PharmaSUG 2014 Healthcare Data Manipulation and Analytics Using SAS Lumin Shen,
Jane Lu		 source 11
PharmaSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 19
PharmaSUG 2014 PRELOADFMT comes to your rescue, it brings missing categories to life in summary reports Niraj J. Pandya,
Ramalaxmareddy Kandimalla		 source 6
PharmaSUG 2014 Programming With CLASS: Keeping Your Options Open Arthur L. Carpenter source 15
PharmaSUG 2014 Same Data, Separate MEANS - 'SORT' of Magic or Logic? Naina Pandurangi,
Seeja Shetty		 source 8
PharmaSUG 2014 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 14
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 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 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 18
SGF 2014 CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics Joe Whitehurst,
Diane Hatcher		 source 16
SGF 2014 Generating Dynamic Tables Using PROC SQL and PROC TABULATE Lovedeep Gondara source 8
SGF 2014 Handling Missing Data Using SAS Enterprise Guide Elena Shtern,
Matt Hall		 source 21
SGF 2014 Leveraging Advanced Analytics to Create Customer-Centric Assortments Christopher Matz source 10
SGF 2014 Programming With CLASS: Keeping Your Options Open Arthur L. Carpenter source 15
SGF 2014 SAS and Hadoop. 3rd Annual State of the Union. [presentation] Paul Kent source 47
SGF 2014 The Armchair Quarterback: Writing SAS Code for the Perfect Pivot (Table, That Is) Peter W. Eberhardt source 36
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 Using SAS Graph Template Language with SAS 9.3 Updates to Visualize Data When There is Too Much Data to Visualize Perry Watts,
Nathaniel Derby		 source 20
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 Factor Analysis: Quit being a whiny baby and learn it with SAS Enterprise Guide AnnMaria De Mars source 9
WUSS 2013 Flexible Code: How Not to Get Stuck in a "Maze of twisty little passages, all alike" Paul D. Hamilton source 6
WUSS 2013 How to Measure Your Success with a Two Dimension Array Humberto Cisneros,
Carrin Huff		 source 14
WUSS 2013 Simulation in SAS with Comparisons to R Chelsea Lofland,
Rebecca Ottesen		 source 25
SCSUG 2013 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
SCSUG 2013 The Concepts and Practice of Analysis with SAS Enterprise Guide Christopher W. Schacherer source 48
SCSUG 2013 Using SAS to Build Customer Level Datasets for Predictive Modeling Scott M. Shockley source 14
SESUG 2013 Analytical Approach for Bot Cheating Detection in a Massive Multiplayer Online Racing Game Andrea Villanes source 10
SESUG 2013 Chi-Square and T-Tests Using SAS: Performance and Interpretation Jennifer L. Waller,
Maribeth H. Johnson		 source 12
SESUG 2013 Getting Out of the PROC PRINT Comfort Zone to Start Using PROC REPORT Imelda C. Go source 10
SESUG 2013 Going from Zero to Report Ready with PROC TABULATE Rachel Straney source 12
SESUG 2013 Not Enough Time To Catch Extreme Observations? Flag and Report with Macros and Arrays Jamelle Simmons source 11
SESUG 2013 SAS Macros to Conduct Common Biostatistical Analyses and Generate Reports Dana Nickleach,
Yuan Liu,
Adam Shrewsberry,
Kenneth Ogan,
Sungjin Kim		 source 8
SESUG 2013 Tailoring Proc Summary for More Efficient Summarizations Bill Parman source 8
SESUG 2013 The Armchair Quarterback: Writing SAS Code for the Perfect Pivot (Table, That Is) Peter W. Eberhardt source 36
SESUG 2013 The Power of Combining Data with the PROC SQL Stacey Slone source 6
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 Descriptive Summary Tables Made Easy Shafi Chowdhury,
Mohammad Siddick		 source
presentation source		 7
PHUSE EU 2013 eBESTreports - The Fastest Way to Conclusions [presentation] Tuomas Kemppainen,
Juha Hyssala		 source 25
PHUSE EU 2013 Economic Evaluation in Clinical Trials. You Can Do it with SAS Artur Usov source
presentation source		 12
PHUSE EU 2013 Evolving Regulatory Guidance on the Submission of Standardised Data [presentation] James R. Johnson source 25
PHUSE EU 2013 EXACT - A Metadata Driven System for Creating Standard Mockups and Data Displays [presentation] Kent Letourneau source 55
PHUSE EU 2013 Multivariate Bioequivalence Shital Agawane,
Sanjukta Roy		 source
presentation source		 8
PHUSE EU 2013 Statistics: The Fourth Dimension of a "Statistical Programmer" Gauri Khatu,
Vibhavari Inamadar		 source 12
PHUSE EU 2013 Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis Imgard Hollweck source
presentation source		 9
MWSUG 2013 Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ Taylor Lewis 20
MWSUG 2013 Building a Better Bar Chart with SAS Graph Template Language Perry Watts 22
MWSUG 2013 Data Presentation 101: An Analyst's Perspective Deanna Chyn,
Anca M Tilea		 8
MWSUG 2013 Introduction to REDCap for Clinical Data Collection Shannon M. Morrison 17
MWSUG 2013 Life Imitates Art: ODS Output Data Sets that Look like Listing Output Dylan Ellis 14
NESUG 2013 Point-and-Click Programming Using SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro		 18
NESUG 2013 Pooling strategy for clinical data Abraham Yeh,
ShinRu Wang,
Xiaohong Zhang		 11
NESUG 2013 The Ultimate Macro to Generate Summary Tables Lan Hu,
Xiaoqiang Wang		 12
NESUG 2013 Using PROC TABULATE and ODS Style Options to Make Really Great Tables Wendi L. Wright 19
PharmaSUG 2013 Creating a Clinical Summary Table within a Single DATA Step with the Dynamic Trio: DOSUBL(), Hash Objects, and ODS Objects Joseph W. Hinson source 14
PharmaSUG 2013 Creating High Quality Statistical Graphs for Publications Kriss Harris source 8
PharmaSUG 2013 Customizing Survival Plot Using ODS Graphics Template Language Fang Dong source 10
PharmaSUG 2013 The Armchair Quarterback: Writing SAS Code for the Perfect Pivot (Table, That Is) Peter W. Eberhardt source 36
PharmaSUG 2013 Working Hard to Become Lazy Sunil Kumar Pusarla,
Paul D. Hamilton		 source 7
SGF 2013 A Flock of C-Stats, or Efficiently Computing Multiple Statistics for Hundreds of Variables Bruce S. Lund,
Steven Raimi		 source 11
SGF 2013 Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP Richard C. Zink source 13
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 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 Detecting Cross-Channel Fraud Using SAS Krutharth Kumar Peravalli Venkata Naga,
Srikar Rayabaram		 source 9
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 Finally, a Tool for Business Users! A Step-By-Step Practical Approach to Pharma Sales Reporting Using SAS Enterprise Guide 4.3 Airaha Chelvakkanthan Manickam,
Ramya Purushothaman		 source 18
SGF 2013 Getting an Overview of SAS Data in Three Steps Goutam Chakraborty,
Miriam McGaugh,
Shirmeen Virji,
Yu Fu		 source
pdf		 7
SGF 2013 Horizontal Data Sorting and Insightful Reporting: A Useful SAS Technique Amanda Lin,
Justin Jia		 source 14
SGF 2013 SAS and Hadoop: The BIG Picture [presentation] Paul Kent source 37
SGF 2013 SAS Essentials: Maximize the Efficiency of Your Most Basic Users Julie Kezik,
Melissa Hill		 source
pdf		 12
SGF 2013 So You're Still Not Using PROC REPORT. Why Not? Daphne E. Ewing,
Ray Pass		 source 14
SGF 2013 Something for Nothing? Adding Group Descriptive Statistics Using PROC SQL Subqueries Sunil Kumar Gupta source 8
SGF 2013 The Armchair Quarterback: Writing SAS Code for the Perfect Pivot (Table, That Is) Peter W. Eberhardt source 36
SGF 2013 The Concepts and Practice of Analysis with SAS Enterprise Guide Christopher W. Schacherer source 48
SGF 2013 With a Trace: Making Procedural Output and ODS Output Objects Work For You Louise S. Hadden source
pdf		 21
NESUG 2012 A Breeze through SAS Options to Enter a Zero-Filled Row Kajal Tahiliani 6
NESUG 2012 Analyze and Manage Your Output with PROC MEANS Si Gao,
Xin Li		 6
NESUG 2012 Checking Out Your Dates with SAS Christopher J. Bost 6
NESUG 2012 Long-to-Wide: PROC TRANSPOSE vs Arrays vs PROC SUMMARY Michael S. Zdeb 14
NESUG 2012 Loop-Do-Loop Around Arrays Wendi L. Wright 17
NESUG 2012 Pharma Sales Reporting Using SAS Enterprise Guide 4.3 - A Step-by-Step Practical Approach Airaha Chelvakkanthan Manickam,
Ramya Purushothaman		 18
NESUG 2012 PROC SQL for DATA Step Die-Hards Christianna S. Williams 20
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 Using PROC TABULATE and ODS Style Options to Make Really Great Tables Wendi L. Wright 19
NESUG 2012 Using SAS GTL with 9.3 Updates to Visualize Data When There is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 20
NESUG 2012 Yes, No, Maybe So: Tips and Tricks for Using 0/1 Binary Variables Laurie Hamilton 6
SCSUG 2012 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 17
SCSUG 2012 Nesting Multiple Box Plots and Blockplots using GTL and Lattice Overlay Greg Stanek source 13
SCSUG 2012 The Effect of Adding the Chronic Disease Score to the Charlson Comorbidity Score in Predicting Mortality in Type - II Diabetes Patients: An Application of Reclassification Measures Hemalkumar Mehta source 17
PHUSE EU 2012 Quartiles within SAS Jorine Putter,
Liz Faber		 source
poster source		 7
PHUSE EU 2012 Quartiles within SAS Procedures Jorine Putter,
Liz Faber		 source 7
PHUSE EU 2012 SAS Drug Development 4.1 - Clinical Programming and Workflow Mark Weadon,
Mark Lambrecht		 source
presentation source		 8
PHUSE EU 2012 Training Statistical Programmers on SAP Review Skills Sascha Ahrweiler source
presentation source		 7
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 A Winning Combination: Generation of Listing and Descriptive Statistics Table in One Report Chenille Lloyd source 7
SESUG 2012 Do You Have Too Much Class? Janet Willis source 6
SESUG 2012 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 8
SESUG 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 14
SESUG 2012 Learning PROC SQL the DATA Step Way Meghal Parikh source 8
SESUG 2012 Mastering the Basics: Preventing Problems by Understanding How SAS Works Imelda C. Go source 14
SESUG 2012 Multiple Imputation for Ordinal Variables: A Comparison of SUDAAN's PROC IMPUTE vs. PROC MI Multiple Imputation source 12
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SESUG 2012 Proc Summary Options Beyond The Basics Susmita Pattnaik source 11
SESUG 2012 Queries, Joins, and WHERE Clauses, Oh My!! Demystifying PROC SQL Christianna S. Williams source 37
MWSUG 2012 Base-SAS PROCedures for Quick Results Kirk Paul Lafler 17
MWSUG 2012 Check and Summarize SAS Log Files Qiling Shi 4
MWSUG 2012 FAQ: PROC TEMPLATE Katherine Burgess,
Ashley Miller		 19
MWSUG 2012 Programming With CLASS: Keeping Your Options Open Arthur L. Carpenter 15
MWSUG 2012 Swimming with Sharks: Using Formats with Summary Data Tom Bugg 8
MWSUG 2012 The Armchair Quarterback: Writing SAS Code for the Perfect Pivot (Table, That Is) Peter W. Eberhardt 36
WUSS 2012 Basic SAS PROCedures for Producing Quick Results Kirk Paul Lafler source 17
WUSS 2012 Basic Statistics with SAS Enterprise Guide: For Learners and Teachers and Everyone Else AnnMaria De Mars,
Chelsea Heaven		 source 20
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 Exploratory and Descriptive Data Analysis for Site-Level Outcomes Amanda Stevenson source 7
WUSS 2012 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 8
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 Programming With CLASS: Keeping Your Options Open Arthur L. Carpenter source 15
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
PharmaSUG CN 2012 Methods to Generate Unavailable Categories in Interim Analysis Xiaoran Yin 6
PharmaSUG CN 2012 The Armchair Quarterback: Writing SAS Code for the Perfect Pivot (Table, That Is) Peter W. Eberhardt,
Louanna Kong		 36
PharmaSUG 2012 "Analysis-ready" - Considerations, Implementations, and Real World Applications Ellen (Zihui) Lin,
Beiying Ding		 source 6
PharmaSUG 2012 A Mean Way to Count, Enumerating the Values of Multiple Variables Using Formats with the Means Procedure Rod Norman source 6
PharmaSUG 2012 Atypical Applications of Proc Transpose John Henry King source 14
PharmaSUG 2012 Macro to Combine Listing and Descriptive Statistics Table in One Report Chenille Lloyd source 7
PharmaSUG 2012 PROGRAMMER'S SAFETY KIT: Important Points to Remember While Programming or Validating Safety Tables Sneha Sarmukadam,
Sandeep Sawant		 source 11
PharmaSUG 2012 Programming With CLASS: Keeping Your Options Open Arthur L. Carpenter source 15
PharmaSUG 2012 SAS UNIX-Space Analyzer - A Handy Tool for UNIX SAS Administrators Airaha Chelvakkanthan Manickam source 12
PharmaSUG 2012 The power of using options COMPLETETYPES and PRELOADFMT Naren Surampalli source 5
SGF 2012 A Simple Way to Program Power Calculations Robert Lew,
Hongsheng Wu		 source 16
SGF 2012 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 8
SGF 2012 How to Perform and Interpret Chi-Square and T-Tests Jennifer L. Waller source 20
SGF 2012 Magic Spells with SAS Christopher J. Bost source 5
SGF 2012 ODS Document from Scratch Kevin D. Smith source 28
SGF 2012 PROC REPORT Basics: Getting Started with the Primary Statements Arthur L. Carpenter source 9
SGF 2012 Queries, Joins, and WHERE Clauses, Oh My!! Demystifying PROC SQL Christianna S. Williams source 37
SGF 2012 SAS Enterprise Guide with SAS On-Demand for Academics: Everything You Need to Know After ""It's Free"" AnnMaria De Mars source 20
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 Simplifying the Analysis of Complex Survey Data Using the SAS Survey Analysis Procedures Varma Nadimpalli,
Katie A. Hubbell		 source 14
SGF 2012 The Armchair Quarterback: Writing SAS Code for the Perfect Pivot (Table, That Is) Peter W. Eberhardt,
Louanna Kong		 source 36
SGF 2012 The DOW Loop: A Smarter Approach to Your Existing Code Fuad J. Foty source 12
SGF 2012 Up Close and Personal with SAS Enterprise Guide 5.1 Anand V. Chitale,
Lina Clover		 source 11
SGF 2012 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 source 21
SGF 2012 Your Place or Mine: Data-Driven Summary Statistic Precision Nancy Brucken source 4
SCSUG 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
SESUG 2011 Two Guys On Hash Paul M. Dorfman source 34
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
>>>>		 source 22
SESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
>>>>		 source 22
SESUG 2011 Using SAS to Streamline Periodic Reporting of Summary Statistics: Proc Format, Proc Freq, Proc Means,and Output Delivery System Berwyn Gonzalvo source 2
WUSS 2011 Adding PROC SQL to your SAS toolbox for merging multiple tables without common variable names Susan Wancewicz source 8
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 Combining PROC SQL Summary Functions with Logical Expressions Glenn Wright source 5
WUSS 2011 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 8
WUSS 2011 Introduction to SAS Programming Lily Xu source 10
WUSS 2011 SAS Essentials I: SAS Functions for a Better Functioning Community AnnMaria De Mars source 15
WUSS 2011 SAS Essentials III: Statistics for Hamsters AnnMaria De Mars source 18
WUSS 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Nathaniel Derby source 22
PHUSE EU 2011 Training Statistical Programmers on SAP Review Skills Sascha Ahrweiler source
presentation source		 7
PHUSE EU 2011 Using R to Validate Results of Other Programming Environments Nikhil Abhyankar,
Vidyagouri Prayag		 source
presentation source		 8
MWSUG 2011 Before Logistic Modeling - A Toolkit for Identifying and Transforming Relevant Predictors Steven Raimi,
Bruce S. Lund		 18
MWSUG 2011 Customizing Survival Plot by %Survivalplot Macro Zhong Yan 12
MWSUG 2011 Deep Dive into the PIM and DDI Data Michelle Hopkins 20
MWSUG 2011 Point-and-Click Programming Using SAS Enterprise Guide Kirk Paul Lafler,
Mira Shapiro		 18
MWSUG 2011 Summary Statistics in Rows John Henry King 15
MWSUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 22
NESUG 2011 A Way to Work with Invoice Flat Files in SAS Anjan Matlapudi,
J. Daniel Knapp		 6
NESUG 2011 Applying INVALUE STATEMENT in PROC FORMAT for Ordering Character Variables Prajitha Nair 8
NESUG 2011 Computing Area Under the Curve (AUC) Using Nested Arrays Michael Pannucci 7
NESUG 2011 Glorified PROC CONTENTS for Secondary Source Data Bruce Thomas 15
NESUG 2011 Missing Categories from Categorical Summary Report? PRELOADFMT Comes to Your Rescue Sapan M. Raval,
Niraj J. Pandya		 6
NESUG 2011 My Fifteen Minutes of Format Fame James Zeitler 9
NESUG 2011 PROC REPORT: Various Reporting Layouts in Clinical Study Reports and Advance Techniques Santosh Bari 6
NESUG 2011 PROC SQL for DATA Step Die-Hards Christianna S. Williams 22
NESUG 2011 Repeating Statistics Tables - Building A Macro that Dynamically Organizes and Formats Wayne (Weizhen) Zhong 6
NESUG 2011 The 5 Most Important Clinical SAS Programming Validation Steps Brian C. Shilling 6
NESUG 2011 Using SAS GTL to Visualize Your Data when there is Too Much of it to Visualize Perry Watts,
Nathaniel Derby		 22
NESUG 2011 Why Programming Efficiency Should Matter to All of Us John J. Cohen 15
PharmaSUG 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
PharmaSUG 2011 Macro to Generate Summary and Descriptive Statistics Tables Yogesh Pande source 6
SGF 2011 Choosing the Road Less Traveled: Performing Similar Tasks with Either SAS DATA Step Processing or with Base SAS Procedures Kathryn McLawhorn source 12
SGF 2011 Efficient Merging: Creating Format Libraries to Save CPU Time Tyler Benz source 9
SGF 2011 Eliminating Response Style Segments in Survey Data via Double Standardization before Clustering Murali Krishna Pagolu,
Goutam Chakraborty		 source 15
SGF 2011 Enough Really Good SAS Tips to Fill a Book Arthur S. Tabachneck source 7
SGF 2011 Enrich your SAS Reporting with SAS Predictive Analytics Rob Craige source 15
SGF 2011 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 8
SGF 2011 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody source 7
SGF 2011 Multivariate Data Displays for Evaluating Clusters Robert G. Moore source 9
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 Point-and-Click Programming Using SAS Enterprise Guide Mira Shapiro,
Kirk Paul Lafler		 source 18
SGF 2011 Present Graph Text-Based Components Using SAS 9.2 Graph Template Language (GTL) Zhuoye Xu source 19
SGF 2011 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 14
SGF 2011 Taking Disease and Health Management Analytics into the Next Generation George S. Habek source 13
SGF 2011 Taking PROC SUMMARY a Step Beyond Priya Suresh source 7
SGF 2011 Taking Your Analytics Up a Notch by Integrating Clickstream Data Bill Franks source 10
SGF 2011 Ten Ways to Improve the Efficiency of Clinical Statistical Programming Amos Shu source 5
SGF 2011 To FREQ, Perchance to MEANS Christopher J. Bost source 10
SGF 2011 Using the PRELOADFMT Option with User-Defined Formats to Create Summary Tables Suwen Li,
Yi Hua,
Daniel Li,
Bob Lan		 source 11
NESUG 2010 Black Belt Hashigana Paul M. Dorfman,
Marina Fridman		 29
NESUG 2010 Facilitating Genetic Analysis: SAS, the NHLBI, and CARe Taylor R. Young 7
NESUG 2010 Portfolio Backtesting: Using SAS to Generate Randomly Populated Portfolios for Investment Strategy Testing Xuan Liu,
Mark Keintz		 7
NESUG 2010 The 5 Most Important Clinical SAS Programming Validation Steps Brian C. Shilling 6
NESUG 2010 Tiptoe through the Templates Cynthia L. Zender 27
NESUG 2010 To FREQ, Perchance to MEANS Christopher J. Bost 11
SCSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer source 24
WUSS 2010 A Discussion of SAS's %CUMINCID Macro for Generating Cumulative Incidence Curves in Cases of Competing Risk in Survival Analysis Andrew Dagis source 7
WUSS 2010 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 7
WUSS 2010 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody source 7
WUSS 2010 PROC MEANS versus PROC SQL for Descriptive Statistics Generation of Weighted Data Keiko I. Powers source 9
WUSS 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
WUSS 2010 Survival 101: Reporting Survival Curves Using Sample Data from the Colorectal Cancer Outcomes Database Anna ter Veer source 11
WUSS 2010 Tips for Constructing a Data Warehouse Part 1 Curtis A. Smith source 12
WUSS 2010 Tips for Constructing a Data Warehouse Part 2 Curtis A. Smith source 11
MWSUG 2010 A New Look at An Old Friend: Getting Reacquainted with Arrays Joe Novotny,
Paul Kollner		 13
MWSUG 2010 A SAS Primer for Health Care Data Analysts Christopher W. Schacherer,
Brent D. Westra		 24
MWSUG 2010 Comparing JMP and SAS for Validating Clinical Trials Sandra D. Schlotzhauer 18
MWSUG 2010 Multivariate Data Displays for Evaluating Clusters Robert G. Moore 9
MWSUG 2010 PROC REPORT Basics: Getting Started with the Primary Statements Arthur L. Carpenter 9
MWSUG 2010 SAS Views - The Best of Both Worlds David Thul 6
MWSUG 2010 Streamlining Reports: A Look into Ad Hoc and Standardized Processes James Jenson 6
MWSUG 2010 To Investigate the Impact of Medicare Part D on the Cost Effectiveness of Diabetes Medications and Health Outcomes with SAS Xiao Wang 8
SESUG 2010 %SBSBOXPLOT: A SAS Macro for Generating Side-by-Side Boxplots Jason A. Schoeneberger,
Grant B. Morgan,
Bethany A. Bell		 source 16
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 How to Monitor "Don't Know" and "Refusal" Non-responses in a Large National Survey - Using Simple SAS Macros, a Few PROCs, and Data Steps Mariah Mantsun Cheng,
Timothy Monbureau		 source 10
SESUG 2010 Statistical Analysis - The First Steps Jennifer L. Waller source 20
SESUG 2010 The MEANS/SUMMARY Procedure: Getting Started Arthur L. Carpenter source 10
SESUG 2010 Two Guys On Hash Paul M. Dorfman source 33
PharmaSUG 2010 %TABLEMAKER: Data Reporting Made Easy Bernadette H. Johnson 6
PharmaSUG 2010 The Ubiquitous Clinical Trials Data Summary Table "Summary Statistics in Rows" John Henry King 15
PharmaSUG 2010 Tiptoe through the Templates Cynthia L. Zender 27
PharmaSUG 2010 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis,
Olga Belotserkovsky		 13
SGF 2010 Black Belt Hashigana Paul M. Dorfman,
Koen Vyverman,
Victor P. Dorfman		 source 29
SGF 2010 Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop Bradford J. Danner,
Steven R. Kirby		 source 8
SGF 2010 Facilitating Genetic Analysis: SAS, the NHLBI, and CARe Taylor R. Young source 7
SGF 2010 Fundamental Diagnostics for Two-Level Mixed Models: The SAS Macro MIXED_DX Bethany A. Bell,
Jason A. Schoeneberger,
Grant B. Morgan,
Jeffrey D. Kromrey,
John M. Ferron		 source 12
SGF 2010 SAS Presents In-Database Base Procedures in Practice Scott Mebust,
Robert S. Ray		 source 25
SGF 2010 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 14
SGF 2010 Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments Joseph C. Gardiner source 23
SGF 2010 The MEANS/SUMMARY Procedure: Doing More Arthur L. Carpenter source 14
SGF 2010 The MEANS/SUMMARY Procedure: Getting Started Arthur L. Carpenter source 10
SGF 2010 Thoroughly Modern SAS: The SAS Code Analyzer Helps Bring Programs Up to Date Merry G. Rabb source 13
SGF 2010 Transposing Data Using the IDGROUP Option in PROC SUMMARY John Henry King,
Michael S. Zdeb		 source 6
SGF 2010 Using the SQL Procedure to Summarize and Transpose Data Kevin Chung source 8
SCSUG 2009 Working with Longitudinal Data Ronald P. Cody 4
SESUG 2009 A SAS Macro for Deming Regression Allison M. Deal,
Virginia W. Pate,
Soumaya El Rouby		 source 7
SESUG 2009 Export Customized Graphs Directly into Microsoft Word Using Dynamic Data Exchange Dennis J. Beal source 11
SESUG 2009 MIXED_DX: A SAS Macro for Two-Level Linear Model Diagnostics Bethany A. Bell,
Grant B. Morgan,
Jason A. Schoeneberger,
John M. Ferron,
Jeffrey D. Kromrey		 source 17
SESUG 2009 The SAS Hash Object in Action Paul M. Dorfman source 30
PHUSE EU 2009 (Inter)facing SAS Raymond Ebben source
presentation source		 12
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 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis		 source 14
MWSUG 2009 Analysis of Breast Cancer and Surgery as Treatment Options Beatrice Ugiliweneza 17
MWSUG 2009 Handy Procedures to Expand Your Analytics Skill Set Mary F. MacDougall 9
MWSUG 2009 The Impact of the Food Safety Information on U.S. Poultry Demand Lijia Mo 9
PNWSUG 2009 Building Multiple Linear Regression Models - Food for Thought Colleen E. McGahan,
Mei Chong		 11
PNWSUG 2009 Fifty Ways to Lose Your Data (And How to Avoid Them) Linda T. Jolley,
Jane Stroupe		 20
PNWSUG 2009 The 7 Habits of Highly Effective SAS-ers David L. Cassell 17
PNWSUG 2009 The MEANS/SUMMARY Procedure: Getting Started and Doing More Arthur L. Carpenter 19
PNWSUG 2009 Tiptoe through the Templates Cynthia L. Zender 27
PNWSUG 2009 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
NESUG 2009 Guido's Guide to PROC UNIVARIATE - A Tutorial for SAS Users Joseph J. Guido 18
NESUG 2009 Magic Spells with SAS Christopher J. Bost 5
NESUG 2009 PROC SQL for DATA Step Die-Hards Christianna S. Williams 19
NESUG 2009 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
NESUG 2009 The Dirty Secret Behind the Box: Why Programming Efficiency Should Matter to All of Us John J. Cohen 9
NESUG 2009 The SAS Hash Object in Action Paul M. Dorfman,
Marina Fridman,
Koen Vyverman		 26
NESUG 2009 Tiptoe through the Templates Cynthia L. Zender 27
WUSS 2009 Cleaning Duplicate Observations on a Chessboard of Missing Values Mayrita Vitvitska source 6
WUSS 2009 Efficient Statistical Programming? - These Small Steps Make the Difference Keiko I. Powers source 16
WUSS 2009 Efficiently Handle Lists of Items using the SAS Macro Language - Save Time and Reduce Errors Jerry Tsai source 8
WUSS 2009 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 7
WUSS 2009 Improving Efficiency of Excel Summary Production with SAS Data Steps Prior to PROC DBLOAD Export Keiko I. Powers source 10
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 Solving Your Problems with SAS Enterprise Guide: SAS without Programming AnnMaria De Mars source 18
WUSS 2009 Tiptoe through the Templates Cynthia L. Zender source 27
WUSS 2009 Using the SmryEachVar Data Review Suite Ronald J. Fehd source 20
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 Establishing Consistent Programming for Pharmaceutical Safety Summarizations Using a DOW Loop Bradford J. Danner,
Steven R. Kirby		 8
PharmaSUG 2009 Generic System for Generating Data Listings Cheng Jun Tian 15
PharmaSUG 2009 Presenting Descriptive Statistics by the Rapid Processing of Data Sets from Proc Means Rod Norman 4
PharmaSUG 2009 The MEANS/SUMMARY Procedure: Doing More Arthur L. Carpenter 14
PharmaSUG 2009 Tiptoe through the Templates Cynthia L. Zender 27
PharmaSUG 2009 Transposing Data Using PROC SUMMARY'S IDGROUP Option John Henry King,
Mount Ida		 6
PharmaSUG 2009 TT05 The MEANS/SUMMARY Procedure Arthur L. Carpenter 10
PharmaSUG 2009 Your Place or Mine: Data-Driven Summary Statistic Precision Nancy Brucken 4
SGF 2009 A Little Stats Won't Hurt You Nathaniel Derby source 17
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
SGF 2009 Creating Code Templates in the SAS Enhanced Editor using Abbreviations and User Defined Keywords Paul H. Grant Jr. source 6
SGF 2009 Data Integration in a Grid-Enabled Environment Cheryl Doninger,
Nancy A. Rausch		 source 11
SGF 2009 Fifty Ways to Lose Your Data (And How to Avoid Them) Linda T. Jolley,
Jane Stroupe		 source 21
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 The Next Generation: SAS Enterprise Miner 6.1 David R. Duling,
Wayne Thompson		 source 10
SGF 2009 The SAS Hash Object in Action Paul M. Dorfman,
Koen Vyverman		 source 26
SGF 2009 Tips and Tricks for Creating the Reports Your Clients Need to See Michael J. Molter source 13
SGF 2009 Tiptoe through the Templates Cynthia L. Zender source 27
SGF 2009 Troubleshoot Your Performance Issues: SAS Technical Support Shows You How Michael Williams,
Gretel Easter,
Steve Bradsher		 source 12
SGF 2009 Using PROC TABULATE and ODS Style Options to Make Really Great Tables Wendi L. Wright source 19
SGF 2009 Using SAS to Analyze System Performance Metrics Chris Helwig source 9
SGF 2009 Very Large Dataset Performance as Measured Across Multiple SAS 9.1.3 Data Storage Options. Donald E. Kros source 8
SGF 2009 Wholesale Electric Energy Market Analysis with Electronic Quarterly Reports Data Sarah J. Whittier source 11
SGF 2009 You Might Be a SAS Energy Hog If ... Michael A. Raithel,
Michael D. Rhoads		 source 15
SGF 2009 You Need to Consolidate Massive Amounts of Data? Select the Fastest Method or Go for Minimal Memory Requirements to Build Your Result Henri Theuwissen source 14
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 Efficiently Handle Lists of Items using the SAS Macro Language - Save Time and Reduce Errors Jerry Tsai source 8
WUSS 2008 Moving from Data to Information: SAS Programming to Reduce Statistical and Programming Errors AnnMaria De Mars source 6
WUSS 2008 The MEANS/SUMMARY Procedure: Getting Started and Doing More Arthur L. Carpenter source 19
WUSS 2008 The Power of the BY Statement Toby Dunn,
Paul A. Choate		 source 16
WUSS 2008 Working with Longitudinal Data Orla Hayden source 3
SESUG 2008 A macro for nearest neighbor imputation Lung-Chang Chien source 6
SESUG 2008 NOTEs in a SASLOG : Of LOST CARDs and MERGE Statements with Repeats of By Values Andrew T. Kuligowski source 14
PHUSE EU 2008 An Animated Guide: Knowing SQL internal processes makes SQL Easy, makes SQL easy Russell M. Lavery source 18
PHUSE EU 2008 Delivering Statistics - a Workflow Supported by the SAS Stored Processes Volker Harm source 8
PHUSE EU 2008 Just Using ODS Tables - PROC REPORT not needed! Philip R. Holland source 10
PHUSE EU 2008 SAS Data via.NET "The Power to Show" Nicolas Rouillé source 12
MWSUG 2008 Exploring Efficient Ways to Collapse Variables Yubo Gao 5
MWSUG 2008 Loop-Do-Loop Around Arrays Wendi L. Wright 17
MWSUG 2008 Mastectomy Versus Lumpectomy In Breast Cancer Treatment Beatrice Ugiliweneza 17
PNWSUG 2008 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 16
PNWSUG 2008 SAS EBI: What Is It, What Will It Do for Me, and Does It Really Work? Frederick E. Pratter 17
PNWSUG 2008 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
NESUG 2008 Benchmarking Tool for Hardware resources Sreekanth Reddy Middela,
Venkata S. Bhamidipati		 6
NESUG 2008 Guido's Guide to PROC MEANS - A Tutorial for Beginners Using the SAS System Joseph J. Guido 11
NESUG 2008 HELP! - My MERGE Statement Has More Than One Data Set With Repeats of BY Values! Andrew T. Kuligowski 5
NESUG 2008 How Do I Love Hash Tables? Let Me Count The Ways! Judy Loren 14
NESUG 2008 Introducing the SAS Code Analyzer Richard D. Langston,
Eric Thies		 4
NESUG 2008 Multiple Facts about Multilabel Formats Gwen Babcock 8
PharmaSUG 2008 "Which Subjects?" Combining a Summary Table and a Data Listing to Answer Clinical's Favorite Question Kim Truett 6
PharmaSUG 2008 %YAMGAST: Yet Another Macro to Generate a Summary Table Zang Xiong,
St. Jude Children's		 10
PharmaSUG 2008 An Animated Guide: Comparing Files without Proc Compare Alejandro Jaramillo,
Russell M. Lavery		 10
PharmaSUG 2008 An Annotated Guide: Using Proc Tabulate And Proc Summary to Validate SAS Code Yanmei Lu,
Russell M. Lavery		 13
PharmaSUG 2008 Animated Guide: Explaining SQL to Beginners - A SQL process flowchart, and rules, makes SQL easy Russell M. Lavery 19
PharmaSUG 2008 Bayesian Data Analysis Using %WinBUGS Lei Zhang 18
PharmaSUG 2008 Getting the MAX Out of PROC MEANS R. Scott Leslie 9
SGF 2008 %HASHMERGE - A Macro to Hash When It Can, Merge When It Can't Gregg P. Snell source 12
SGF 2008 Adventures in ODS: Producing Customized Reports Using Output from Multiple SAS Procedures Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park		 source 23
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 How Do I Love Hash Tables? Let Me Count The Ways! Judy Loren source 14
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
SGF 2008 Introducing the SAS Code Analyzer Richard D. Langston,
Eric Thies		 source 4
SGF 2008 Introduction to PROC TABULATE Thomas J. Winn Jr. source 17
SGF 2008 Local Measures of Global Warming Jun Lu source 7
SGF 2008 Powering Your Organization's Web Applications with SAS Software Michael A. Raithel source 16
SGF 2008 PROC SQL for DATA Step Die-Hards Christianna S. Williams source 17
SGF 2008 PROC TABULATE and the Neat Things You Can Do with It Wendi L. Wright source 17
SGF 2008 The Impact of Data Visualization in a Study of Chronic Disease Patients Gabe Cano source 9
SGF 2008 The Look: Conforms to Section 508, Looks Like PROC TABULATE Blake R. Sanders,
Mikhail Gruzdev		 source 10
NESUG 2007 A Lazy Programmer Case Study: Dynamic Macro Code to Deal with Changing Number of Variables over Time Suzanne M. Dorinski 14
NESUG 2007 Adding One Value to All Records in a SAS Data Set Anne Warren 6
NESUG 2007 Great Expectations of PROC FORMAT - Applications All You Can Do with Formats in the SAS System John He,
Ram Valluru		 8
NESUG 2007 ODS, An Introduction to Creating Output Data Sets Elisabeth Pyle 7
NESUG 2007 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 13
NESUG 2007 So You're Still Not Using PROC REPORT. Why Not? (Hands-On Workshop) Ray Pass,
Daphne E. Ewing		 13
NESUG 2007 Summing with SAS Tatiana Homonoff 12
NESUG 2007 Tips and Tricks for Creating the Reports Your Clients Need to See Mike Molter 13
NESUG 2007 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park		 22
SESUG 2007 Cleaning Data the Chauvenet Way Lily Lin,
San Mateo		 source 11
SESUG 2007 ROBUST_ES: A SAS Macro for Computing Robust Estimates of Effect Size Jeffrey D. Kromrey,
Kevin B. Coughlin		 source 16
MWSUG 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga 20
WUSS 2007 BFF: Binary Flags Forever (Or, Boole's Paradise) David J. Pasta,
Eric P. Elkin		 source 8
WUSS 2007 Cleaning Data the Chauvenet Way Lily Lin,
Paul D. Sherman		 source 11
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 Getting the MAX Out of PROC MEANS R. Scott Leslie source 9
WUSS 2007 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 7
WUSS 2007 The Power of the BY Statement Toby Dunn,
Paul A. Choate		 source 16
WUSS 2007 They Were Our Dreams - Tables and Graphics for Survival Analysis using ODS Wei Cheng source 13
WUSS 2007 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
PHUSE EU 2007 A gentle introduction to Meta-analysis Angelo Tinazzi,
Jayne Tierney		 source 8
PHUSE EU 2007 Runtime funtime: Vertical data reporting using runtime formats Michael Auld source 11
SCSUG 2007 A Hands-On Introduction to Using PROC TABULATE Thomas J. Winn Jr. 20
SCSUG 2007 How Do I Love Hash Tables? Let Me Count The Ways! Judy Loren 14
SCSUG 2007 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 13
SCSUG 2007 The Impact of Data Visualization in a Study of Chronic Disease Gabe Cano,
Brad Smith,
Paul Cuddihy		 17
SCSUG 2007 Thinking in Sets Joe Celko 60
PNWSUG 2007 PROC REPORT Basics: Getting Started with the Primary Statements Arthur L. Carpenter 9
PharmaSUG 2007 A SAS Macro to Calculate the Ankle-Brachial Index Rita A. Dale 4
PharmaSUG 2007 Clinical Adverse Events Data Analysis and Visualization Shi-Tao Yeh 12
PharmaSUG 2007 Taking the Proc Summary a Step Beyond Priya Suresh 7
PharmaSUG 2007 The ROC Curve Method for the Assessment of Diagnostic Accuracy William F. McCarthy 12
PharmaSUG 2007 Using Multiple Output Statements in the Summary Procedure Britney D. Gilbert 3
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 Animated Guide: PROC TRANSPOSE Russell M. Lavery source 22
SGF 2007 Calculating Statistics Using PROC MEANS versus PROC SQL Jyotheeswara N. Yellanki source 8
SGF 2007 Getting the Most from PROC MEANS Andrew H. Karp source 9
SGF 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga source 20
SGF 2007 Learning What You Didn't Know about Your Data Larry W. Douglass source 16
SGF 2007 ODS Statistical Graphics for Clinical Research Wei Cheng source 20
SGF 2007 Performance-Driven Data Integration - An Optimized Approach Vijay Venugopal,
Jim Fang,
Srinivas Bhat		 source 6
SGF 2007 The Power of the BY Statement Paul A. Dunn,
Toby Choate		 source 16
PNWSUG 2006 PROC SQL vs. the Data Step - Trick or Treat? Tom Aldrich 11
PNWSUG 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell 11
MWSUG 2006 How to use Summary Statistics as raw data to do basic statistical analysis Dachao Liu 6
MWSUG 2006 Illustrating generation of MSWord tables via HTML with the %cattable and %contable macros Matthew T. Karafa 6
MWSUG 2006 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
MWSUG 2006 Using Biweights for Handling Outliers George W Dombi 9
PHUSE EU 2006 A "bit" about Proc Summary: Technique for Working with Summary Output Gregory T. Weber,
Troy A. Ruth,
Steven Light		 source 6
PHUSE EU 2006 An Introduction to PROC SQL Anthony Cooper source 20
PHUSE EU 2006 Statistical Graphics and Reporting in Drug Development Michael O'Connell,
Sven Knudsen		 source 13
SESUG 2006 An Annotated Guide: Using Proc Tabulate And Proc Summary to Validate SAS Code Russell M. Lavery source 13
SESUG 2006 Answering the Right Question with the Right PROC Carrie Mariner source 5
SESUG 2006 CC06 A Better Means - The ODS Data Trap Myra A. Oltsik,
White Plains		 source 10
SESUG 2006 Generating Participant Specific Figures Using SAS Graphic Procedures Carry W. Croghan,
Marsha Morgan		 source 17
SESUG 2006 PROC SQL for DATA Step Die-Hards Christianna S. Williams source 17
SESUG 2006 Taking the Proc Summary a Step Beyond Priya Suresh source 7
SESUG 2006 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures into a Single Summary Report, a Detailed Methodology Stuart D. Long source 21
WUSS 2006 A Dashboard Application Developed Using SAS GRAPH Proc Annotate Timothy A. Kenney source 8
WUSS 2006 Between Automation and Exploration: SAS Graphing Techniques for Visualization of Survey Data Chong Ho Yu,
Samuel DiGangi		 source 8
WUSS 2006 Sample Survey Data and the Procs you OUGHT To Be Using David L. Cassell source 13
WUSS 2006 Steps to Success with PROC MEANS Andrew H. Karp source 12
WUSS 2006 Tips & Techniques with PROC MEANS Andrew H. Karp source 8
WUSS 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
NESUG 2006 Any WAY you Want it: Getting the Right TYPEs of Observations Out of PROC SUMMARY or MEANS Christianna S. Williams 7
NESUG 2006 By's Notsorted Option Karuna Samudral,
Gregory Giddings		 11
NESUG 2006 Calculating Geographic Distance: Concepts and Methods Frank J. Ivis 10
NESUG 2006 How Do I Love Hash Tables? Let Me Count The Ways! Judy Loren 14
NESUG 2006 Linking SAS Analytics, U.S. Census Gazetteer Data and ArcView Geocoding Software for Medicare Fraud Screening Laurie Hamilton 10
NESUG 2006 The National Occupational Respiratory Mortality System: Deployment of SAS/IntrNet Application Dispatcher Queries Using SAS Component Language (SCL) Macros John Wood 10
NESUG 2006 Using SAS to Analyze the Summary Data Zhenyi Xue 6
NESUG 2006 When is New Really New? Proc Compare Gives the Details Jared Smith 7
PharmaSUG 2006 %SummaryTable: A SAS Macro to Produce a Summary Table in Clinical Trial Yinmei Zhou,
St. Jude Children's		 7
PharmaSUG 2006 A "bit" about Proc Summary: Technique for Working with Summary Output Gregory T. Weber,
Troy A. Ruth,
Steven Light		 7
PharmaSUG 2006 Macros to get to "Know Thy Data" Diane E. Foose 14
SUGI 2006 %DataAutoSum: A SAS Macro for Automatically Producing a Customized Clinical Data Summary Report Deqing Pei,
Cheng Cheng		 source 8
SUGI 2006 A Better Means - The ODS Data Trap Myra A. Oltsik,
Peter Crawford		 source 10
SUGI 2006 A System of SAS Macros for Producing Statistical Reports Greg A. Grandits source 7
SUGI 2006 Developing, Managing, and Evaluating a Standard Macro System Albert Mo source 10
SUGI 2006 Displaying the Similarity of a Case and Matched Controls Robert S. Wilson source 8
SUGI 2006 Efficient Construction of a "One-Row-per-Subject" Data Mart for Data Mining Gerhard Svolba source 16
SUGI 2006 FREQ n' MEANS Marge Scerbo,
Michael S. Lajiness		 source 19
SUGI 2006 Incorporating PROC FORMAT, PROC REPORT, and ODS Style Definitions to Track Sources of Records with Poor Data Thaer Baroud,
John W. Senner,
Paul W. Johnson		 source 9
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 ODS Statistical Graphics for Clinical Research Wei Cheng source 10
SUGI 2006 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 20
SUGI 2006 Using SAS ODS to Extract and Merge Statistics from Multiple SAS Procedures Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park		 source 21
SUGI 2006 Wait Wait, Don't Tell Me… You're Using the Wrong Proc! David L. Cassell source 11
SESUG 2005 %CHECKDATA: An Enhanced Data Diagnostic Macro John Stanmeyer source 8
SESUG 2005 A Tour of the SAS Reporting Toolbox Frank C. DiIorio source 20
SESUG 2005 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2005 Summarizing Data with Base SAS PROCs Deborah B. Buck source 11
SESUG 2005 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 Russell M. Lavery source 57
SCSUG 2005 New Functions in SAS 9 - A Sampling Keith Cranford 14
SCSUG 2005 Summarizing Data with Base SAS PROCs Deborah B. Buck 11
PHUSE EU 2005 Design Principles & Implementation of a Reporting System Anup Patel source 6
PHUSE EU 2005 Migration of a Flexible Reporting System from SAS 6.12 to SAS 9.1.3 - A project experience Raymond Ebben source 12
PHUSE EU 2005 Opportunities for efficiency created by the ODS John Kirkpatrick source 9
MWSUG 2005 Introduction To SAS Business Intelligence/Enterprise Guide Alex Dmitrienko 13
MWSUG 2005 SAS Enterprise Guide in Pharmaceutical Applications: Automated Analysis And Reporting Alex Dmitrienko 9
WUSS 2005 Can Matrix Capture Missing Data Values? Keh-Dong Shiang source 9
WUSS 2005 Get Going with PROC SQL Richard Severino source 20
WUSS 2005 Making Your Data File More Versatile for Web Applications Maureen Ross source 6
WUSS 2005 ODS Statistical Graphics for Clinical Research Wei Cheng source 20
WUSS 2005 PROC REPORT Basics: Getting Started with the Primary Statements Arthur L. Carpenter source 9
WUSS 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
WUSS 2005 Tips & Techniques with PROC MEANS Andrew H. Karp source 8
WUSS 2005 Using SAS, MySQL, and PHP to Empower End-Users to Generate Dynamic Descriptive and Analytic Statistical Web Reports Jeremy Morris,
Gary Levy,
Ray Dahl		 source 7
WUSS 2005 Using the COMPUTE Block in PROC REPORT Jack Hamilton source 19
WUSS 2005 What's Your _TYPE_? Finding the CLASS You Want In PROC SUMMARY Frank A. Ferriola,
Pacioli Companies,
Highlands Ranch		 source 4
NESUG 2005 An Animated Guide: PROC TRANSPOSE Russell M. Lavery 9
NESUG 2005 Beyond FORMAT Basics Michael S. Zdeb 20
NESUG 2005 Fast and Easy Ways to Check Your Work: Using PROC MEANS to Confirm Continuous Variable Categorizations Richard M. Mitchell 2
NESUG 2005 Freq n' Means Marge Scerbo,
Michael S. Lajiness		 19
NESUG 2005 HOLY MACRO! An Intuitive Approach to Understanding the Macro Facility Michael J. Molter 20
NESUG 2005 Loop-Do-Loop Around Arrays Wendi L. Wright 16
NESUG 2005 PROC SQL for DATA Step Die-Hards Christianna S. Williams 20
PharmaSUG 2005 Analyzing and Displaying Study Data in Clinical Trials Made Easy Denise J. Smith 15
PharmaSUG 2005 Generating Customized Analytical Reports from SAS Procedure Output Brinda Bhaskar,
Kennan Murray		 9
PharmaSUG 2005 Oh No, a Zero Row: 5 Ways to Summarize Absolutely Nothing Stacey D. Phillips,
Gary Klein		 5
PharmaSUG 2005 PROC REPORT Basics: Getting Started with the Primary Statements Arthur L. Carpenter 9
PharmaSUG 2005 Remembering the Past: Ensuring Quality though Historical Benchmarking Marc-Paul Lee 8
PharmaSUG 2005 Statistical Table Specifications and Automatic Code Generation using XML Alan Hopkins,
Linda Collins		 7
PharmaSUG 2005 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 14
SUGI 2005 A SAS Macro for Visually Displaying Correlations between Brain Regions Using fMRI Data Warren B. Bilker,
Colleen M. Brensinger,
Ruben C. Gur,
Maximilian Herlim		 source 6
SUGI 2005 An Alternative Method of Transposing Data without the TRANSPOSE Procedure Sunil Kumar Gupta source 6
SUGI 2005 An Introduction to Quantile Regression and the QUANTREG Procedure Colin Chen source 24
SUGI 2005 HOLY MACRO! An Intuitive Approach to Understanding the Macro Facility Michael J. Molter source 20
SUGI 2005 PROC FREQ and PROC MEANS: To Stat or Not to Stat Marge Scerbo,
Michael S. Lajiness		 source 17
SUGI 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
SUGI 2005 Reporting Statistical Results with PROC REPORT Nestor Rohowsky source 6
SUGI 2005 SAS 8 Is Seen in the Rearview Mirror: Generate Statistical Graphics Using ODS in SAS9 Wei Cheng source 10
SUGI 2005 Text Utility Macros for Manipulating Lists of Variable Names Robert J. Morris source 7
SUGI 2005 The SQL Optimizer Project: _Method and _Tree in SAS 9.1 (broken file) Russell M. Lavery source 57
SUGI 2005 Using Extreme Programming Processes in a SAS Environment Brian Mitchell source 5
NESUG 2004 Clinical Trials Online - Running SAS on the Web Without SAS/IntrNet Quan Ren 15
NESUG 2004 Generating Customized Analytical Reports from SAS Procedure Output Brinda Bhaskar,
Kennan Murray		 12
NESUG 2004 Let's Be Bilingual: A Native SAS Speaker in the Land of SQL Julie Burton 4
NESUG 2004 Macros: Code Cutters or Code Generators' Prashant Mittal 7
NESUG 2004 Programming Techniques for Data Mining with SAS Samuel Berestizhevsky,
Tanya Kolosova		 14
NESUG 2004 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
NESUG 2004 The Fundamentals of Efficiency Robert Virgile 5
NESUG 2004 Using MACRO and SAS/GRAPH to Efficiently Assess Distributions Paul Walker 7
SCSUG 2004 Creating Birth Data Quality Reports: Identifying hospitals that submit high volumes of invalid data using PROC REPORT and ODS Thaer Baroud,
John Senner,
Paul W. Johnson		 12
SCSUG 2004 Equipment Data Development Case Study - Bayesian Weibull Analysis Wei Yu 43
SCSUG 2004 Start with SAS with a few quick easy steps Zeke Torres 4
SESUG 2004 A Simulation Study to Evaluate ANOVA and GEE for Comparing Correlated Proportions with Missing Values Mark S. Litaker source 6
SESUG 2004 Here's the Data, Here's the Report I Want - How Do I Get There? Deborah B. Buck source 8
SESUG 2004 Mixed Model Influence Diagnostics Oliver Schabenberger source 17
SESUG 2004 Using PROC COMPARE in a SAS/AF Application for Tracking Corrections made to SAS Datasets for a Clinical Trial Emily A. Mixon source 6
WUSS 2004 A Macro To Print Summary Results and Differences From Two Sources On A Single Page Linfeng Xu source 6
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 Getting the Most from PROC MEANS Andrew H. Karp source 8
WUSS 2004 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 7
WUSS 2004 Mixed Model Influence Diagnostics Oliver Schabenberger source 17
WUSS 2004 Package, Archive, Report and Test Statistical Models Using ODS Ted Clay source 10
WUSS 2004 V8 is seen in rearview mirror - generate statistical graphics using ODS in SAS? 9 Wei Cheng source 11
MWSUG 2004 A System of SAS Macros for Producing Statistical Reports Greg A. Grandits,
Ken Svendsen		 8
MWSUG 2004 Explore, Analyze, and Summerize Your Data with SAS Software:Selecting the Most Appropriate Power Tool from a Rich Portfolio LeRoy Bessler 20
MWSUG 2004 Pipeline Parallelism Performance Practicalities M. Michelle Buchecker 6
MWSUG 2004 SAS Macros to Implement Survival Analyses for Oncology Clinical Trials Adeline Yeo 5
MWSUG 2004 SAS Solutions for Fatal Pitfalls Within the Consumer Expenditure Survey Jon G. Fields 5
MWSUG 2004 Using SAS Enterprise Guide to Automate and Customize Statistical Analyses for Pharmaceutical Data Alex Dmitrienko,
Cindy Lee		 6
PNWSUG 2004 ODS Tips and Tricks Lauren E. Haworth 7
PNWSUG 2004 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
PharmaSUG 2004 Data Summary at a Glance Varsha C. Shah 8
PharmaSUG 2004 Simultaneous Nonparametric Inference in a One-Way Layout Using the SAS System Paul Juneau 17
PharmaSUG 2004 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Ray Pass		 19
PharmaSUG 2004 Statistical Application of SAS in Method Comparison Analysis David Shen 13
SUGI 2004 A Format to Make the _Type_ Field of PROC MEANS Easier to Interpret Matt Pettis source 6
SUGI 2004 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler source 17
SUGI 2004 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren source 16
SUGI 2004 DATA: "Getting to Know You; Getting to Know All About You" Larry W. Douglass,
Sue E. Douglass		 source 17
SUGI 2004 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 9
SUGI 2004 Mixed Model Influence Diagnostics Oliver Schabenberger source 18
SUGI 2004 Practical Application of SAS for the Beginner - Enabling the Replacement of a Fragile Access Database David Yarmchuk source 8
SUGI 2004 PROC FREQ - What's It Really Good For? Theresa Gordon,
Monique Eleby		 source 4
SUGI 2004 SAS Backwards: Helping SAS and SPSS Students Speak the Same Language Joseph J. Guido,
Adam B. Rains		 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 Steps to Success with PROC MEANS Andrew H. Karp source 13
SUGI 2004 To REPORT or to TABULATE? - That is the Question! Daniel E. Bruns,
Ray Pass		 source 4
SUGI 2004 Two Approaches to the Summarization of Data Huijuan Xu,
John Hotaling		 source 5
WUSS 2003 A Plot and a Table Per Page Times Hundreds in a Single PDF File Daniel J. Leprince,
Elizabeth Li		 source 5
WUSS 2003 A Strange Affair: An Application Using SAS and Excel Richard Chiofolo source 8
WUSS 2003 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 5
WUSS 2003 Quantifying Stock Market Overreactions Dan Shaw source 3
WUSS 2003 Taming Your Metadata Part I: Getting data dictionary and codebook from your SAS databases Peter Godard source 6
WUSS 2003 Tips and Techniques with PROC MEANS Andrew H. Karp source 8
WUSS 2003 Using SAS for Classical Item Analysis and Option Analysis Chong Ho Yu,
Josephine Wai-chi Wong		 source 6
SCSUG 2003 Elementary Statistics Using Base SAS Deborah B. Buck 9
SCSUG 2003 Proc SQL - A Primer for SAS Programmers Jimmy A. DeFoor 10
SCSUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
SCSUG 2003 SQL Basics Destiny Corporation (a company) 17
SESUG 2003 An Analysis Tool for Reviewing Farm Economic Data Using SAS/AF Van Johnson source 7
SESUG 2003 An Animated Guide: Proc Report: The File Behind the Scenes Russell M. Lavery source 10
SESUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2003 Tricks of A Truly Lazy SAS Programmer Christopher Toppe,
Independent Sector		 source 9
MWSUG 2003 SQL Basics Destiny Corporation (a company) 17
MWSUG 2003 Tips and Techniques with PROC MEANS Andrew H. Karp 6
NESUG 2003 A Step-By-Step Illustration of Building a Data Analysis Tool with Macros Diana Wobus,
John Charles Gober		 10
NESUG 2003 Interleaving a Dataset with Itself: How and Why Howard L. Schreier 6
NESUG 2003 SAS Backwards: Helping SAS and SPSS Students Speak the Same Language Joseph J. Guido,
Adam B. Rains		 14
NESUG 2003 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 22
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 Using ODS Ban Cheah 17
NESUG 2003 Using Visual Basic with SAS to Produce Statistical Reports Matthew Campbell 10
SEUGI 2003 SAS 9 Architects the Future [presentation] Allan Russell source 60
SEUGI 2003 The Data Warehouse Methodology as an input for Data Mining Analysis in Public Health Service [presentation] Nathalie Coue source 51
SEUGI 2003 The SAS XML/A Web Services Framework [presentation] Anton Fuchs source 41
PharmaSUG 2003 A Method To Create Descriptive Statistics Using The CLASS Statement Jihong Jin 6
PharmaSUG 2003 A Reporting Macro to Create Descriptive Statistical Summary Tables Ellen Forman 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 Enhancement of Survival Graphs Joanne C. Zhou 6
PharmaSUG 2003 Macros Used to Create Descriptive Statistic Summary Table of Neurotoxicity Scores Jonson C. Jiang 4
PharmaSUG 2003 The Confidence in the 95% Confidence Interval of Mean Bhargavi A. Raghavan 2
SUGI 2003 A Plot and a Table Per Page Times Hundreds in a Single PDF File Daniel J. Leprince,
Elizabeth Li		 source 6
SUGI 2003 An Inside Look at Version 9 and 9.1 Threaded Base SAS Procedures Robert S. Ray source 6
SUGI 2003 Combining Summary Level Data with Individual Records Frank J. Ivis source 3
SUGI 2003 Continuous or Not: How One Can Tell Vatsala V. Karwe source 2
SUGI 2003 Developing Client/Server Applications to Maximize SAS 9 Parallel Capabilities Cheryl Doninger source 10
SUGI 2003 Enhancement of Survival Graphs Joanne C. Zhou source 6
SUGI 2003 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 5
SUGI 2003 New Ways and Means to Summarize Files Curtis A. Smith source 6
SUGI 2003 P-Value Generation Simplified with a Single SAS Macro Christopher S. Hord,
Peter J. Anderson		 source 3
SUGI 2003 Randomized Rounding Erik W. Tilanus source 2
SUGI 2003 Reducing the CPU Time of Your SAS Jobs by More than 80%: Dream or Reality? Henri Theuwissen,
Nancy Croonen		 source 10
SUGI 2003 Ring Charts David J. Corliss source 5
SUGI 2003 SAS-L: A Very Powerful Free Resource for SAS Users Worldwide JoAnn R. Matthews source 4
MWSUG 2002 10 Things Experienced SAS Programmers Don't Know - But Should Douglas Zirbel 10
SCSUG 2002 A FIRST . (but not LAST.) Word on the BY-group Processing Christine A. Smiley 9
SCSUG 2002 ODS: A Primer Matthew Grover 8
SCSUG 2002 Summarizing and Reorganizing Data Jimmy A. DeFoor 7
SCSUG 2002 Summarizing Data with Base SAS PROCs Deborah B. Buck 8
SCSUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization and Analysis Using PROC MEANS Andrew H. Karp 10
SCSUG 2002 Web Enable Your Graphs and Reports Jessica Bonow 11
NESUG 2002 Advanced SQL Processing Destiny Corporation (a company) 7
NESUG 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren 7
NESUG 2002 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
NESUG 2002 PROC SQL for DATA Step Die-Hards Christianna S. Williams 10
NESUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS Software Gary M. McQuown,
Andrew H. Karp		 10
NESUG 2002 Two Useful Macros to Nudge SAS to Serve You David Izrael,
Michael P. Battaglia		 6
NESUG 2002 Version 9 Changes & Enhancements Destiny Corporation (a company) 18
SESUG 2002 Here's the Data, Here's the Report I Want - How Do I Get There? Deborah B. Buck source 6
SESUG 2002 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS Software Andrew H. Karp,
Gary M. McQuown		 source 10
WUSS 2002 A Macro to Perform a T-Test for Two Independent Samples Using Sufficient Statistics Lang-Feng Tsai source 5
WUSS 2002 Automation and Visualization of Distractor Analysis Using SAS/GRAPH Chong Ho Yu source 4
WUSS 2002 Getting Up to Speed with PROC REPORT Kimberly J. LeBouton source 5
WUSS 2002 New Ways and Means to Summarize Files Curtis A. Smith source 6
WUSS 2002 Where in the World are Block, Choropleth, and Prism? Getting Started with PROC GMAP and Creating Interactive Maps for the Web Thomas Kunselman source 6
PharmaSUG 2002 Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED Chain Algorithm 6
PharmaSUG 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren 8
PharmaSUG 2002 Data Exploration in the Pharmaceutical Industry Andrew T. Fagan 8
SUGI 2002 A Secure Online Data Validation &Collection System for HEDIS Survey Data Christopher A. Roper source 9
SUGI 2002 Advanced Tips and Techniques with PROC MEANS Andrew H. Karp source 7
SUGI 2002 Battle of the Titans: REPORT vs. TABULATE Daniel E. Bruns,
Ray Pass		 source 2
SUGI 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren source 7
SUGI 2002 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2002 Fast and Easy Ways to Check Your Work: Using PROC MEANS to Confirm Continuous Variable Categorizations Richard M. Mitchell source 2
SUGI 2002 Let Summary Sum and Tabulate Format Marianne L. Whitlock source 3
SUGI 2002 Programming Tricks for Reducing Storage and Work Space Curtis A. Smith source
SUGI 2002 Quick Results in PROC REPORT Sandra D. Schlotzhauer,
J. Meimei Ma,
Maria Ilieva		 source 10
SUGI 2002 SAS Accessing DB2 Data: a Performance Victory Away Henri Theuwissen,
Nancy Croonen		 source 9
SUGI 2002 SAS Tools for Meta-analysis Robert M. Hamer,
Pippa M. Simpson		 source 6
SUGI 2002 SAS/AF : It's Not What It Used to Be! Soora Wi source 4
SUGI 2002 Summarizing Data with Base SAS PROCs Deborah B. Buck source 8
SUGI 2002 What's Your _TYPE_? How to Find the CLASS You Want in PROC SUMMARY Frank A. Ferriola source 4
MWSUG 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Data Summarization Using the SAS System Andrew H. Karp 10
NESUG 2001 Analyzing Complex Sample Survey Data: A New Beginning Linda Tompkins,
Arlene B. Siller		 3
NESUG 2001 Battle of the Titans: REPORT vs. TABULATE Daniel E. Bruns,
Ray Pass		 2
NESUG 2001 Past, Present, and Future Theft Summarization by SAS Technologies Gerald Stewart 10
NESUG 2001 Recyclable Code - Building and Using Generic SAS Macros for Ragged Data Marts Ralph W. Leighton 10
NESUG 2001 The Dirty Dozen: Twelve Common Programming Mistakes Bob Virgile 5
VIEWS 2001 Methods Of Building an Enterprise Layer to Help Data Exploitation and Delivery Andrew Wilcox 23
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 Calculating the Error Rate: The Case of the Quality Assurance Audit Edem Kuevor source 3
WUSS 2001 Changes and Enhancements to PROCs MEANS and SUMMARY in Version 8 of the SAS System Andrew H. Karp source 6
WUSS 2001 It's not my fault - but I fixed it anyway: From legacy data all over the placeto a consistent, automated analysis system AnnMaria Rousey source 5
WUSS 2001 Programming Tricks for Reducing Storage and Work Space Curtis A. Smith source 5
WUSS 2001 SAS Macro, ODS, and HTML: Summarizing 400 Pages of Output Into One Nice Table Michelle L. Pritchard source 5
WUSS 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray		 source 5
WUSS 2001 What's Your _TYPE_? Finding the CLASS You Want In PROC SUMMARY Frank A. Ferriola source 4
SESUG 2001 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler source 10
SESUG 2001 Changes and Enhancements to PROC MEANS In Version 8 of the SAS System Andrew H. Karp source 6
SESUG 2001 Producing Multipurpose Metadata for Data Quality, Trending, and a Data Dictionary John E. Bentley source 12
SESUG 2001 Survey Estimates and Variance Estimation Using the SURVEYMEANS Procedure Hossein N. Yarandi,
Shawn M. Kneipp		 source 5
SESUG 2001 Understanding and Using Functions Frank C. DiIorio source 8
SESUG 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray		 source 5
SCSUG 2001 Basic SAS PROCedures for Generating Quick Results Kirk Paul Lafler 10
SCSUG 2001 Changes and Enhancements to PROC MEANS In Version 8 of the SAS System Andrew H. Karp 6
SCSUG 2001 Cubes on the Cheap Jimmy A. DeFoor 6
SCSUG 2001 PROC REPORT: How To Get Started Malachy J. Foley 10
SCSUG 2001 Survey Estimates and Variance Estimation Using SURVEYMEANS Procedure Hossein N. Yarandi,
Shawn J. Kniepp		 5
SCSUG 2001 Version 9: Scaling the Future Diane Olson,
Robert S. Ray		 5
SEUGI 2001 Constructing a time series using PROC SUMMARY and a multi-label format [presentation] Hans Thomsen source 23
SEUGI 2001 Exploiting and extending the Multi Vendor Architecture [presentation] Achim Granzen source 52
SEUGI 2001 The Data Warhousing Process in the Development of Traffic Emission Information System of ATENA Project in Naples Giovanni Meccariello,
Livia Della Ragione,
Mario Rapone		 source 12
SEUGI 2001 What's New in SAS/Warehouse Administrator Software [presentation] Wilbram Hazejager source 43
PharmaSUG 2001 A Data Null Reporting Method Frank Senk 6
PharmaSUG 2001 Creating PDF Documents including Links, Bookmarks and a Table of Contents with the SAS Software Lex Jansen 10
PharmaSUG 2001 Developing a SAS Macro Library to Create Standard Clinical Data Summary Reports Chad W. Melson,
James T. Decker		 10
PharmaSUG 2001 Using SAS Version 8.1 Output Delivery System to Automate Two Sample Test Selection 4
SUGI 2001 Clinical Trial System - A Front End SAS/AF Application Quan Ren source 7
SUGI 2001 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2001 Data Visualization of Phase 1 Clinical Studies - by "Big Al's Worlds " Richard F. Synowiec source 6
SUGI 2001 Efficient Statistical Programming? - Let SAS Do the Work Keiko I. Powers source 4
SUGI 2001 Informational System for Planning and Consolidation Eugene A. Grishenkoff source 7
SUGI 2001 Input File Cleaning and Screening Using a SAS Macro Mike D. Tangedal source 7
SUGI 2001 ODS and Browser Interaction Solutions Steven H. Feder source 3
SUGI 2001 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 2001 Summarizing Data with an Inconsistent Text Key? Here's How! Sylvia C. Tze source 3
SUGI 2001 Summarizing to the One-Record-per-Person using PROC SUMMARY: When to Use CLASS and When to Use BY Sylvia C. Tze source 4
SUGI 2001 The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data in SAS Andrew H. Karp source 10
SUGI 2001 The Metamorphosis of a Study Design Marge Scerbo,
Craig Dickstein		 source 6
SCSUG 2000 Data Cleaning 101 Ronald P. Cody 13
SCSUG 2000 Motorola's Engineering Data Analysis System: 10 Years of Analytical Excellence C. Michael Whitney,
Leslie Fowler		 7
SESUG 2000 A High-Level Summary Table Generation Language Supplying the Missing Link between PROC MEANS using a CLASS Statement and PROC TABULATE Dorothy E. Pugh source 9
SESUG 2000 Using SAS to Perform Robust I-Sample Analysis of Means Type Randomization Tests for Variances Peter S. Wludyka source 6
NESUG 2000 Avoiding Mayhem in the New Millennium: Working with Missing Data JoAnn R. Matthews 10
NESUG 2000 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
NESUG 2000 ODS and Browser Interaction Solutions Steven H. Feder 3
NESUG 2000 PROC MEANSTM: More than just your average procedure Peter R. Welbrock 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
WUSS 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 8
WUSS 2000 Eenie Meenie Minie Moe - What's the Fastest Proc from Go to Whoa? Comparing PROC SQL and PROC SUMMARY Nikki M. Carroll source 2
WUSS 2000 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 5
WUSS 2000 SAS Report Writing Over the Years: An Exploration Into the Difficult Task of Meeting Everyone's Needs Richard C. Chiofolo source 8
WUSS 2000 Subsetting Files vs. Summarizing Files Curtis A. Smith source 6
WUSS 2000 Summarizing to the One-Record-Pere-Oerson Using PROC SUMMARY: When to Use CLASS and When to Use BY Jenny Yu source 6
SEUGI 2000 A Web Presentation of a SAS data set from the Uppsala Longitudinal Study of Adult Men (ULSAM) Hans Lithell,
Lars Bergulund,
Liisa Byberg,
Rawya Mohsen		 source 10
SEUGI 2000 Creating PDF Documents including hyper-links, bookmarks and a table of contents with the SAS Software [presentation] Lex Jansen source 39
SEUGI 2000 Feeding the Warehouse: How we satisfied the Hunger of the Beast called Miami [presentation] Gareth Hughes,
Mel Cullen		 source 39
SEUGI 2000 IT Service Vision - WebHound - Performance Tuning and Reporting [presentation] Don Koch,
Freda Cameron		 source 42
SEUGI 2000 Skaen but not stirred - Why I like NLMIXED [presentation] Tim Auton source 38
SEUGI 2000 The power of HOLAP in a multidimensional world [presentation] Massimo Martucci source 42
SEUGI 2000 Using SAS System in the Media Research Projects [presentation] Elena Maslova,
S. Poppv,
T. Barsov		 source 38
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
SUGI 2000 A Personal View of SAS-L as a Teaching Tool H. Ian Whitlock source 9
SUGI 2000 Analyzing Complex Sample Survey Data: A New Beginning Linda Tompkins,
Arlene B. Siller		 source 3
SUGI 2000 By Hook or By Crook: Overcoming Resource Limitations Curtis A. Smith source 6
SUGI 2000 Envisioning Kinaalda: Navaho Magic, Mystery, and Myth Wendy B. Dickinson source 8
SUGI 2000 Fast Track to PROC REPORT Results Meimei Ma,
Sandra D. Schlotzhauer		 source 10
SUGI 2000 Motorola's Engineering Data Analysis System: 10 Years of Analytical Excellence C. Michael Whitney,
Leslie Fowler		 source 7
SUGI 2000 PROC MEANS: More Than Just Your Average Procedure Peter R. Welbrock source 10
SUGI 2000 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 5
SUGI 2000 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 2000 Summarizing Impossibly Large SAS Data Sets for the Data Warehouse Server Using Horizontal Summarization Michael A. Raithel source 5
SUGI 2000 The Anatomy of a Report: A Macro Driven Approach Diane E. Brown source 10
SUGI 2000 Version 8 Base SAS Performance: How Does It Stack Up? Robert S. Ray source 7
SCSUG 1999 Advanced Features of PROC TABULATE Thomas J. Winn Jr. 6
SCSUG 1999 Capacity and Policy Planning Using a Simulation Model George Tompkins 4
SCSUG 1999 Longitudinal Data Techniques Ronald P. Cody 6
SESUG 1999 An Introduction to the Next Big Thing: Parallel Computing John E. Bentley source 10
SESUG 1999 Data Summarization Methods in Base SAS Procedures Lynne Bresler source 9
SESUG 1999 Do We Know How to Function? Janet E. Stuelpner source 7
SESUG 1999 Hiring the Best SAS Programmers Neil H. Howard source 10
SESUG 1999 Programming Solutions with SAS Formats and Informats Imelda C. Go source 9
SESUG 1999 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 8
SESUG 1999 SAS Components To Help You Survive A Deserted Island Stephen M. Noga source 7
SESUG 1999 SAS I/T Service Vision, Delta Technology's Performance Database Bob Chaney source 4
WUSS 1999 Constructing a Data Warehouse as the Foundation for a Client/Serveer Application System Curtis A. Smith source 8
WUSS 1999 Hook or Crook Curtis A. Smith source 6
WUSS 1999 Manipulating SCL Lists Available Through EIS Classes To Customize A Multidimensional Report Jessica M. Gallegos,
Matthew E. Westover		 source 4
WUSS 1999 Prepare to Make the Jump to Hiperspace Curtis A. Smith source 2
WUSS 1999 Site Specific Reports: Comparing each part to the whole using numbers and figures Jenny Yu source 6
NESUG 1999 Exploratory Data Analysis: Getting to Know Your Data Michael A. Walega 8
NESUG 1999 Fundamentals and Flourishes to the TABULATE Procedure Dianne Louise Rhodes 7
NESUG 1999 Generalized Report Programming Techniques Using Data-Driven SAS Code Kathy Hardis Fraeman,
Karen G. Malley		 7
NESUG 1999 Longitudinal Data Techniques: Looking Across Observations Ronald P. Cody 6
NESUG 1999 PROC SQL for DATA Step Die-Hards Christianna S. Williams 10
NESUG 1999 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 10
MWSUG 1999 Data Summarization Methods in Base SAS Procedures Lynne Bresler 9
MWSUG 1999 Informing Doctors Who Manage Care: A SAS - based Physicia Profiling and Incentive System Mary F. MacDougall,
William C. Murphy		 4
MWSUG 1999 Using PROC REPORT to Generate "Impossible" Totals Andrea J. Decker 9
SEUGI 1999 High-quality SAS reporting: which is the optimal output format? [presentation] Mika Leinonen source 39
SEUGI 1999 Using SAS/IML to fit embedded models to accelerated life test data Alan John Watkins,
Richard E. Johnson		 source 7
SEUGI 1999 Visualising large data volumenes with SAS/MDDB server, SAS/CONNECT, SAS/EIS software and HOLAP add-ins [presentation] Daniel Morris source 29
SUGI 1999 Advanced Features of PROC TABULATE Thomas J. Winn Jr. source 6
SUGI 1999 An Introduction to SAS/ASSIST Software Linda P. Atkinson source 6
SUGI 1999 Constructing a Data Warehouse Curtis A. Smith source 6
SUGI 1999 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 1999 The ABCs of MDDBs Marge Scerbo source 8
SUGI 1999 Three Methods to Produce Descriptive Statistics and Histogram Using SAS Bing Deng source 4
SUGI 1999 Using Decision Support Services to Fight Crime Nina Du Thaler,
Alexander Stefan		 source 14
SUGI 1999 Using SAS Macro to Include Statistics Output in Clinical Trial Summary Table Amy C. Young,
Sharon X. Zhou		 source 5
SUGI 1999 Using SAS to Conduct Pilot Studies: An Instructors Guide Sean W. Mulvenon,
Ronna C. Turner		 source 6
MWSUG 1998 An Introduction to Macros Linda M. Quinn 6
SCSUG 1998 Introduction to Using PROC TABULATE Thomas J. Winn Jr. 11
WUSS 1998 An Innovative Approach of Analyzing Longitudinal Data ith Various Patterns of Missing Data Shiao-Ping Lu source 3
WUSS 1998 Constructing a Data Warehouse Curtis A. Smith source 5
WUSS 1998 Creating Inferred Data Using SAS Tim Walters 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 New SAS Procedures for Analysis of Sample Survey Data Anthony B. An,
Donna L. Watts		 source 11
WUSS 1998 Software Benchmarking under NT 4.0: A Comparison to IBM/MVS Mainframe Kunling Lu,
Beimin Ni		 source 4
NESUG 1998 Advanced Techniques to Build and Manage User-Defined SAS Format Catalogs Jack N. Shoemaker 6
NESUG 1998 IN & OUT of CNTL with PROC FORMAT Nancy K. Patton 2
NESUG 1998 Old Friends, New Features: What's new in SUMMARY and TABULATE Robert S. Ray 2
NESUG 1998 The ABCs of MDDBs Marge Scerbo 7
NESUG 1998 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 10
SESUG 1998 IN & OUT of CNTL with PROC FORMAT Nancy K. Patton,
ASG. Ine		 2
SESUG 1998 INF()RMA TION 1II.sUALlZATION Achieving Graphical Excellence 10
SEUGI 1998 Problem and solutions in using SAS software as an insurance information tool: Extending SAS/EIS software capabilities [presentation] Stephen Dunn source 36
PharmaSUG 1998 Deciphering the _TYPE_ Variable in MEANS and SUMMARY Output Data Sets Arthur L. Carpenter 3
PharmaSUG 1998 Graphically Enhancing the Visual Presentation and Analysis of Univariate Data Using SAS Software James R. O'Hearn 5
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
SUGI 1998 A Data Warehouse Implementation Using the Star Schema Maria Lupetin source 5
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 An Interactive Graphical Interface for Hierarchical Classification of Data Generated through Individual Particle Analysis Kyle E. Thomas,
Art Alexander,
Aamer Raza		 source 4
SUGI 1998 An Introduction to SAS/ASSIST Software Linda P. Atkinson source 6
SUGI 1998 Deciphering the _TYPE_ Variable in MEANS and SUMMARY Output Data Sets Arthur L. Carpenter source 3
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 IN & OUT of CNTL with PROC FORMAT Nancy K. Patton source 2
SUGI 1998 Optimizing SAS Access to an Oracle Database in a Large Data Warehouse Clare Somerville,
Clive Cooper		 source 10
SUGI 1998 So You're Still Not Using PROC REPORT. Why Not? Ray Pass,
Daphne E. Ewing		 source 10
SUGI 1998 The ABCs of MDDBs Marge Scerbo source 6
SUGI 1998 The SAS Multidimensional Database Procedure Timothy J. Harrington source 7
SUGI 1998 The T ask Output Framework: An Object Oriented Tool for Application Development John E. Ellis source 6
SUGI 1998 Using SAS as an Automation Server in Windows Application Development Zhuan (John) Xu source 6
WUSS 1997 Constructing a Data Warehouse Curtis A. Smith source 6
WUSS 1997 Desing of the Clinical Data Portion of a CANDA to Facilitate Review by CDER Kay Obenshain source 5
WUSS 1997 Output Tabluated Information into Data Sets Zhirong Mao,
Yuejing XU		 source 4
WUSS 1997 The SAS Multidimensional Database and Its Uses in Application Development Bill Powers source 5
NESUG 1997 A Non-Memory Intensive Alternative to PROC MEANS and PROC SUMMARY Jack Yang 4
NESUG 1997 Creating Column Delimited Files with Little or No Effort John Charles Gober 7
NESUG 1997 Creating Tables with Summary Statistics When PROC Tabulate is Insufficient David Collins 4
NESUG 1997 Drill Down Till You Drop: OLAP Without Windows Ralph Winters 10
NESUG 1997 Fundamentals and Flourishes to the TABULATE Procedure Dianne Louise Rhodes 7
NESUG 1997 Graphically Enhancing Univariate Descriptive Statistics James R. O'Hearn 3
NESUG 1997 Preparing Final Reports Using DDE to Link SAS Software and Microsoft WORD Dean Bross 10
NESUG 1997 PROC SUMMARY and PROC FORMAT: A Winning Combination Alan Dickson 7
NESUG 1997 PROC TABULATE: Controlling Table Appearance August V. Treff 11
NESUG 1997 Summarizing Impossibly Large SAS Data Sets for the Data Warehouse Server Using Horizontal Summarization Michael A. Raithel 5
MWSUG 1997 Building a Better Dataset Descriptor Mike D. Tangedal 6
MWSUG 1997 Summarize Your Data With SAS: PROC MEANS and PROC UNIVARIATE Nestor Rohowsky 9
SESUG 1997 A Step-By-Step Illustration of Building a Data Analysis Tool with Macros Diana Zhang Wobus 7
SESUG 1997 Exploring Data With Base SAS Software Thomas J. Winn Jr. 7
SESUG 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer 10
SESUG 1997 Standardizing Output: PROC TRANSPOSE to the Rescue Judy Loren 2
SESUG 1997 Statistical Presentations Using the Power of PROC TABULATE C. Olivia Parr Rud 8
SESUG 1997 The Right Approach to Learning PROC TABULATE Bob Virgile 7
SEUGI 1997 Data Modelling for an epidemiological database Deborah Allon,
Paul Nicholson		 source 11
PharmaSUG 1997 Adverse Events Summary Tables in Clinical Trials: Incorporating P-values Using SAS Macros and SAS/AF Incorporating P-values 10
PharmaSUG 1997 Design of the Clinical Data Portion of a CANDA to Facilitate Review by CDER Kay Obenshain 5
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 SAS Output To Final Polished Tables And Listings: An Automated Procedure Using Microsoft Wordbasic And Microsoft Visual Basic R. J. Wilson 5
SUGI 1997 A Step-By-Step Illustration of Building a Data Analysis Tool with Macros Diana Zhang Wobus,
John Charles Gober		 source 7
SUGI 1997 An Introduction to SAS/ASSIST Software Linda P. Atkinson source 6
SUGI 1997 Creating Clinical Trial Summary Tables Containing P-Values: A Practical Approach Using Standard SAS Macros Jun Zuo,
Carl R. Haske		 source 6
SUGI 1997 Introduction to Using PROC SQL Thomas J. Winn Jr. source 7
SUGI 1997 Learning About Your Data: Tips and Techniques for Looking at Large Files Sandra D. Schlotzhauer,
Bob Anschuetz		 source
SUGI 1997 Some Tips and Examples for Using SAS PROC TABULATE Pei Lee Tien,
Tsung-Hua Lin,
Mike McGranaghan		 source
SUGI 1997 Summarizing Impossibly Large SAS Data Sets for the Data Warehouse Server Using Horizontal Summarization Michael A. Raithel source 5
SUGI 1997 Using FTP, Views, and PROC SUMMARY to Analyse Large Databases Don Stanley source 6
SESUG 1996 Report Writing, SAS/GRAPH Creation, and Output Verification using SAS/ASSIST Matthew J. Becker 8
SESUG 1996 SAStistics 101 Robert E. Johnson 8
SESUG 1996 Software Validation and Testing Andrew T. Kuligowski 9
NESUG 1996 Building Efficient Data Warehouses: Understanding the Issues of Data Summarization and Partitioning Robert Chu,
Susan Tideman		 8
NESUG 1996 Macros Developed for Statistical Summary and Tabulation of Clinical Data William Sun,
David Lago,
David Handelsman,
Jack Shostak		 10
NESUG 1996 Standardizing Output: PROC TRANSPOSE to the Rescue Judy Loren 2
MWSUG 1996 A Set of SAS Macros for Producing Statistical Reports Greg A. Grandits 10
MWSUG 1996 Building Efficient Data Warehouses: Understanding the Issues of Data Summarization and Partitioning Susan Tideman,
Robert Chu		 8
WUSS 1996 "Rank Ordering" Means Diana D. Suhr source 5
WUSS 1996 %BYVARS: Determining the Order of Variable Names in a Macro Parameter Standish Sibley source 3
WUSS 1996 Can SAS Programs on PCs and Minis Finally Compete with Mainframe SAS Programs Robert O. Bernstein source 6
WUSS 1996 Using PROC REPORT to Summarize Clinical Safety Data Justina M. Flavin source 5
PNWSUG 1996 Computing and Presenting Adjusted Rates for Health Utilization Research William Kreuter 17
SEUGI 1996 A SAS Macro to Present a Summary Table of the Number of Patients Having Experienced Adverse Events in a Clinical Trial Christoph Gerlinger,
Ursula Franke		 source 8
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 Building an Efficient Data Warehouse: Understanding the Issues of Data Summarization and Partitioning Robert Chu,
Susan Tideman		 source 8
SUGI 1996 Counting on Base SAS Software Beth S. Wilson source 4
SUGI 1996 Data Summary: Beyond the Basics Susan J. Slaughter,
Lora D. Delwiche		 source 7
SUGI 1996 Getting Subtotals and Percentages: It's Never Been So Easy Christopher Toppe source 6
SUGI 1996 Rapid Information System Development: Evaluating the Billing Practices of 1,400 Attorneys Using aSAS/FSP Application Developed in 30 Hours Douglas F. Herta source 4
SUGI 1996 SUM Enchanted Procedure: The Advanced Power of PROC SUMMARY David E. Beam source 6
SUGI 1996 The Dirty Dozen: Twelve Common Programming Mistakes Robert Virgile source 6
SUGI 1996 Warehouse NOW! Blasting through to Legacy Data with (Almost) No Programming Jay A. Jaffe source
SCSUG 1995 Getting Subtotals and Percentages: It's Never Been So Easy Christopher Toppe 6
MWSUG 1995 Getting Subtotals and Percentages: It's Never Been So Easy Christopher Toppe 6
NESUG 1995 Getting Subtotals and Percentages: Its Never Been Easy Christopher Toppe 6
NESUG 1995 Large Data Volume: Tricks of the Trade Allison Levine 5
NESUG 1995 PROC REPORT - Capabilities and Techniques for Batch Users Larry Gertzog 9
NESUG 1995 PROC SUMMARY: A Powerful Exploratory Data Analysis Tool Kim L. Kolbe Ritzow 10
NESUG 1995 PROC TABULATE: Controlling Table Appearance August V. Treff 8
NESUG 1995 Rank Based Alternatives to Normal Least Square Analyses Maria C. Prenger 6
NESUG 1995 Simplifying NDA Programming with PROC SQL Aileen L. Yam 7
NESUG 1995 Using SAS To Compute Variances For Stratified Samples Lawrence Helbers 5
WUSS 1995 Designing an Integrated Safety Summary of Clinical Trials Linda Collins,
Patricia L. Gerend		 source 6
WUSS 1995 Getting Subtotals and Percentages: It's Never Been So Easy Christopher Toppe source 6
WUSS 1995 Introduction to PROC SQL as a Data Summary Tool Aileen L Yarn source 5
SESUG 1995 "Using the SAS System When Transitioning to a New Windows Workstation" Orion V. Hanger 2
SESUG 1995 Beginning Tutorials GETTING SUBTOTALS AND PERCENTGES IT'S NEVER BEEN SO EASY Christopher Toppe 6
SESUG 1995 Extended Uses of the CONTENTS Procedure Steven A. Wright 5
SUGI 1995 A SAS Macro for Evaluation of Survival Time Data Involving Treatment Conversion Using the Mantel-Byar Method Eric T. Sun,
Ching-Chang Hwang		 source 6
SUGI 1995 Resampling Using the SAS System Kelly Hood,
Sylvia Miller		 source 6
SUGI 1995 Simplifying NDA Programming with PROC SQL Aileen L. Yam source 7
SUGI 1995 Using the SAS System for Market Research Laurie Rose source 5
SUGI 1995 Writing SAS/AF Applications That Run in Both an Interactive and Batch Environment Jim Nelson,
Matthew Grover		 source 6
SCSUG 1994 A One-Size-Fits-All Macro to Reduce Repetitive Coding Mark Lindsey 12
SCSUG 1994 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 6
WUSS 1994 If I'm Not a Database User, What Is the SQL Procedure Good For? Ann Olmsted source 15
NESUG 1994 DATA Step Efficiency and Performance Jeffrey A. Polzin 7
NESUG 1994 Data Step Techniques: Reading, Writing, and Redacting August V. Treff 10
MWSUG 1994 A Set of SAS Macros for Producing Customized Reports Greg A. Grandits,
Ken Svendsen		 6
SEUGI 1994 Automatic Generation of Accumulated Data Matrices in a Tabulating Process Jesus Castillo source 9
SEUGI 1994 Model-Independent Pharmacokinetics Using SAS/PH-Kinetics Software Brian Fredric source 5
SEUGI 1994 Optimal Use of the SAS System for Clinical R&D Tasha Kostantacos source 4
SUGI 1994 A Set of SAS Macros for Producing Customized Reports Greg A. Grandits,
Ken Svendsen		 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 DATA Step Efficiency and Performance Jeffrey A. Polzin source 7
SUGI 1994 Exploiting the Scheduling Algorithms in SAS/OR Software Radhika V. Kulkarni source 12
SUGI 1994 Exploring Data With Base SAS Software Thomas J. Winn Jr. source 6
SUGI 1994 No Puts Allowed: Completely Customized Tables with the PRINT Procedure James P. Young Jr. source 6
SUGI 1994 Tables for Two: An Introduction to the TABULATE Procedure Kathy McLeod source 10
NESUG 1993 An Overview of Methods Available For Obtaining Frequency Counts of Categorical Data Lawerence P. Specht 10
NESUG 1993 Large Data Sets on the Mainframe -- Strategies for Improved Efficiency and Reduced Competition for Resources Helen-Jean Talbott 6
SCSUG 1993 Exploring Data Using Base SAS Software Thomas J. Winn Jr. 30
MWSUG 1993 Learning SAS by Diagrams and Examples Joanne Peng,
Shu-Yeng Wong		 7
SEUGI 1993 Non standard Graphical Representation of Clinical Data David Granger source 11
SEUGI 1993 Performance Issues to Consider When Migrating Production Jobs from Version 5 to Version 6 of the SAS System under MVS Chris Luckman source 5
SEUGI 1993 The Analysis of Repeated Measures Designs Using the SAS System Alun Bedding source 9
SUGI 1993 A Broadly Applicable Statistical Program (BASP) for the Preparation and Analysis of Longitudinal Data Sets Susan Y.J. Zhou,
Lawrence A. Kingsley,
Sheila S. H. Leung,
Patricia S. Wehman		 source 6
SUGI 1993 Performance Issues to Consider When Migrating Production Jobs from Version 5 to Version 6 of the SAS System under MVS Amitava Ghosh,
Leigh A. Ihnen		 source 5
SUGI 1993 SAS Data Dictionary Tool Box Allan E. Williams,
Peter Dueber,
Lynette M. Browne		 source 5
SUGI 1993 The FlLEVAR Option: A Tool for Management of Large Numbers of Raw Data Files Henry W. Buffum,
Jeffrey S. Rosen,
Richard W. Latimer		 source 4
SUGI 1993 The Laboratory Review System: A SAS-based Graphical and Statistical Tool Developed for a Computer-Assisted New Drug Application (CANDA) Submission Russell R. Holmes,
David A. Bright		 source 6
SUGI 1993 The SAS System in a Longitudinal Environmental Health Intervention Study with Repeated Monitoring WinKey Pan source 4
SESUG 1993 Combined Ratio Estimates Computed with SAS Joan M. Pausche 6
SESUG 1993 Computing Highway Crash Rates Using PROC SUMMARY Elizabeth G. Hamilton 5
SESUG 1993 Using SAS Statistical Procedures in Medical Research Joe Cholewczynski 6
SCSUG 1992 A Talk on SQL Paul Kent 12
SCSUG 1992 Calculating the Odds Ratio and Goodness of Fit Statistics for Logistic Regression Models Using PROC LOGISTIC Chuan-Chuan C. Wun 19
SCSUG 1992 Testing the Additivity Assumption in Repeated Measures Robert J. Zambarano 11
NESUG 1992 Getting to Know Your Data Using SAS Felicia Borglum 7
NESUG 1992 Obtaining P-Values for Clinical Research Efficacy Reports Denis Michel 6
NESUG 1992 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
NESUG 1992 PROC SUMMARY: Enhancing Output with _TYPE_, Formats and Data Steps August V. Treff 6
NESUG 1992 SAS System Alternatives SherriJoyce King 7
NESUG 1992 The Laboratory Review Systems: A SAS-based Graphical and Statistical Tool Developed for a CANDA Submission Russell R. Holmes,
David A. Bright		 6
NESUG 1992 The SAS System Under Windows 3.0 and OS/2.0 Wanda Thomas 3
MWSUG 1992 Use of the Where Clause in SAS 6.07 Robert Zdanky 4
SEUGI 1992 Data Analysis and Storage Using the SAS System at JET, the Joint European Torus Knud Thomsen source 16
SEUGI 1992 Experiences from Using the SAS System in a Large Consumption Simulation Study Timo Alanko source 11
SUGI 1992 An Integrated Clinical Information System for Pharmaceutical Research Martin J. Rosenberg source 7
SUGI 1992 An Interactive SAS/AF System for Assessing Bioequivalence Deborah Dukovic source 6
SUGI 1992 Development of the RELIABILITY Procedure Using SAS/TOOLKIT "Software Shobha Choudhari,
Chintamani Sahoo		 source 6
SUGI 1992 Essential SAS Software for Engineers William D. Kahn,
Diccon R. E. Bancroft		 source 10
SUGI 1992 Generating Statistical Tables Meeting NDA Guidelines the Lazy Way John Lue source 6
SUGI 1992 Making Use of the SAS Implementation of SQL Don Stanley source 6
SUGI 1992 Pharmacokinetic Statistical Analysis System - A SAS/AF and SAS/FSP Application Sharon Passe,
Andrea L. Contino		 source 6
SUGI 1992 Put Presentation Graphics in Your Applications Anthony L. Friebel,
Jade Walker		 source 10
SUGI 1992 Simple SAS Analyses That Add Value to Corporate Databases Richard Sue source 4
SUGI 1992 Small Area Analysis of Hospitalization Rates Using SAS Software Larry J. Walter,
Bruce H. Fireman		 source 6
SUGI 1992 The Use of SAS/GRAPH Software in the Management of Clinical Trials MaryAnne DePesquo Hope source 6
SUGI 1992 Using SAS Macros to Generate Code (So Your Program Can Figure Out What to Do for Itself) Nancy K. Blood source 5
SUGI 1992 YTD Reporting Using the SUMMARY and TRANSPOSE Procedures Tom Bellmer,
Steven J. First		 source 5
SCSUG 1991 Tips, Tricks and Traps, Part 1 Neil H. Howard 6
NESUG 1991 PROC SUMMARY and PROC FORMAT: A Winning Combination Alan Dickson 7
NESUG 1991 Using SAS Macros to Generate Code (So Your Program Can Figure Out What to Do for Itself) Nancy K. Blood 4
NESUG 1991 Using SAS Procedures as Data Checking Tools Paula B. Podolnick 5
NESUG 1991 Using SAS Statistical Procedures in Medical Research Joe Cholewczynski 7
MWSUG 1991 PROC REPORT: An Introduction to the Batch Language Ray Pass 10
SEUGI 1991 An Application for the Analysis of Pain Data by Summary Measures A. Longoni,
G. Marcon,
M. Sanarico,
S. Galimberti		 source 4
SEUGI 1991 Features of SAS/PH-Clinical Software Gerhard Held,
Patrick O'Donoghue		 source 10
SEUGI 1991 The SAS System as a DMBS Query/Report System Across Multiple Platforms Wilfried Schollenberger source 8
SUGI 1991 A Clinical Data Review System to Facilitate Pharmaceutical Research Martin J. Rosenberg source 9
SUGI 1991 A SAS Program for Seasonal Kendall Trend Analysis of Monthly Water Quality Data Sungsue Rheem,
Golde I. Holtzman		 source 6
SUGI 1991 Analysis of Sparse Repeated Categorical Measurement Data Alan Agresti,
Stuart Lipsitz,
Joseph B. Lang		 source 9
SUGI 1991 Analyzing a Survey: A Bunch of Tips for a Mess of Questions William G. LeBlanc source 4
SUGI 1991 Automated Generation of Statistical Tables: Integration of Structured Programming and SAS Macros Lee-Hwa Jane,
Maureen McCormick		 source 5
SUGI 1991 Features of SAS/PH-Clinical Software Sandra D. Schlotzhauer source 10
SUGI 1991 Remote Access Pulse Recorder (RAPR) SAS and SAS/AF Programs for Electric Utility System Reports Gabor Sebo source 7
SUGI 1991 SAS Software and the Complete P &L Approach to MIS Reporting Thomas W. Jack source 3
SUGI 1991 SAS/ETS Forecasting Application GuI Ege source 10
SUGI 1991 The REPORT Procedure: An Introduction and Overview Ray Pass source 4
SUGI 1991 The Utter Simplicity of PROC TABULATE Daniel E. Bruns source 7
SUGI 1991 Toward a Unified Analysis Environment: Two Years Later Charles R. Villarrubia,
Greg Silva,
Bruce Ingraham,
Seth Michelson		 source 4
NESUG 1990 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 9
NESUG 1990 Efficient SAS Software Programming: A New Synthesis Jean Hardy 8
SEUGI 1990 Statistical Simulation with the SAS System Gerd Antes source 7
SUGI 1990 An Automated, Intelligent Algorithm for GPLOT Procedure and PLOT Procedure Graphics Axis Scaling Marcia S. Murto source 5
SUGI 1990 Changes and Enhancements to Version 6 Procedures David Driggs source 11
SUGI 1990 Data Reduction and Summary Statistics in the DATA and PROCEDURE Steps Efficiency Considerations Michael C. Hein,
Judith H. Mopsik		 source 8
SUGI 1990 Efficient Data Summary: A Comparison of PROC and DATA Step Techniques Sandra D. Iverson,
Susan J. Slaughter		 source 4
SUGI 1990 Management Reporting for Capacity Planning and Computer Performance Evaluation Donald T. Gantz source 12
SUGI 1990 Mortar and Bricks: Using Basic SAS System Procedures to Manipulate Your Data Peter Kretzman source 8
SUGI 1990 The SAS Macro: An Aid to the User Robert E. Johnson source 7
SUGI 1990 The SAS System for PCs: Some Speed Surprises Richard H. Browne source 10
SUGI 1990 Working with the SUMMARY Procedure: An Introduction John S. Boyden source 6
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 The Right Approach to Learning PROC TABULATE Bob Virgile 9
NESUG 1989 Using the SAS System for Strategic Health Planning Stephan Parente 3
SEUGI 1989 (SAPS) Standard Analysis Program System Reiner Uhl source 6
SUGI 1989 Calculation of Basic Statistics for BY Groups on Large Data Sets Akos Felsovalyi source 6
SUGI 1989 Collection and Presentation of Online Response Data Tom White source 6
SUGI 1989 Debugging SAS Macros: A Cookbook Approach Earl R. Westerlund source 4
SUGI 1989 Enhancing the Visual Impact and Clarity of Graphics Output Using the Customizing Power of the Annotate = Data Set Karen Lacy Helsel source 6
SUGI 1989 Improving Program Efficiency through Coding Techniques Daniel E. Lodter source 6
SUGI 1989 New Directions in SAS/QC Software Paul Bachteal,
Robert N. Rodriguez		 source
SUGI 1989 Processing and Analyzing Consumer Panel Data Charles F. Hofacker source 4
SUGI 1989 Querying with SAS Screen Control Language: A Database Browsing and Extraction Application Anne M. Asher,
Maria K. Wills		 source 2
SUGI 1989 The TABLES Procedure as an Alternative to the DATA _NULL_ or PRINT Procedure in Generating Report-quality Statistical Tables Patricia L. Gerend source 2
NESUG 1988 Efficiency Techniques for Improving I/O and Processing Time in the DATA Step Neil H. Howard 14
NESUG 1988 The Right Approach to Learning PROC TABULATE Robert Virgile 10
SEUGI 1988 Producing More Efficient SAS Applications Peter Herbertz source 14
SEUGI 1988 SQL and the SAS System Version 6 and Beyond Lewis Church Jr.,
Paul Kent		 source 4
SEUGI 1988 Using SAS/GRAPH Software for Analysing DASD Capacity and Performance Henrik Dorf source 6
SUGI 1988 Building a Window to a Data Archive, or How to Provide Access to Large Statistical Data Files Tom Boggess source 5
SUGI 1988 Macro and Macro-like Applications for Minicomputers Virginia M. Dineley,
Toby Trott		 source 8
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 and Analyzing Supermarket Scanner Data Charles F. Hofacker source 6
SUGI 1988 Processing Large Files: The SUMMARY Procedure and Other Efficiency Tips Juliana M. Ma source 9
SUGI 1988 SQL and the SAS System Version 6 and Beyond Lewis Church Jr.,
Paul Kent		 source 4
SUGI 1988 Statistics for Ordered Categorical Data Thomas O'Gorman,
Robert F. Woolson		 source 7
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 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 1987 Comparison of Data Processing Procedures for the Statistical Analysis of Visual Field Data Katherine Freeman source 4
SUGI 1987 Processing Large Data Sets into Customized Tables Tamara R. Fischell,
Elizabeth G. Hamilton		 source 6
SUGI 1987 TABLETS-A Table Generator Bernard Costa source 4
SEUGI 1986 An Introduction to SAS/QC Software Gerhard Held source 11
SEUGI 1986 Analysis of CICS Transactions Using SAS Phil Lord source 3
SEUGI 1986 The SAS System as a Tool for the Financial Systems Auditor Jost Dorken source 20
SUGI 1986 A VM/CMS SAS Based DB Query Application Employed as a Function of a Contracted Business DMS Michael L. Confer,
David S. Septoff		 source 4
SUGI 1986 An Introduction to SAS/QC Software Robert N. Rodriguez source 11
SUGI 1986 Efficient Use of PROC SUMMARY Suzanne Clark,
Liz Konowal		 source 6
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 PROC TABULATE as a Tool for Categorical Analysis Tamara R. Fischell,
Juliana M. Ma		 source 5
SUGI 1986 Project Management Using SAS/OR Software Radhika V. Kulkarni source 12
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 Using SAS Software to Provide Descriptive Statistics and Customized Report Writing for a Materials Management Function Bruce W. Eagle source 7
SUGI 1985 A Customer Sampling and Reporting System Using SAS Software Barbara J. Matthews,
Sue M. Worline		 source 6
SUGI 1985 Assessing the Impact of VM System Modifications using VMAP and the SAS System Harriet E. Brichta source 6
SUGI 1985 Descriptive Statistics: Using Indicator Variables Tamara R. Fischell,
Juliana M. Ma		 source 5
SUGI 1985 PROC TABULATE Applications Andrew A. Norton source 7
SUGI 1985 The SUMMSTAT Macro: Getting More Mileage Out of PROC SUMMARY Michael D. Rhoads source 6
SEUGI 1984 Report-Quality Tables with SAS E. Placa,
G. Stein,
P. Smith		 source 11
SUGI 1984 Analysis of a Balanced Latin Square Design Using the SAS System Kent R. Skalland,
M. Lorie Skalland		 source 3
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 PROC SUMMARY as the Basis for Efficient Analyses of Large Files Carol Leininger,
Juliana M. Ma		 source 4
SUGI 1984 Statistics Automation: Using SAS Macros to Produce Report-Ready Statistical Analysis Tables Walter W. Offen source 5
SUGI 1984 Using New SAS Features in an Information Processing Course Robert Carr,
Karen Griffin,
Robert S. Workman		 source 2
SUGI 1983 Data Reduction and Summarization Joshua Sharlin source 8
SUGI 1982 Graphics Can Tell Your Story, Too Richard A. Akemann source 5
SUGI 1982 Performance Analysis - Honeywell Level 6 Statistics John L. Hall Jr. source 6
SUGI 1982 Techniques for Interrelating and Reducing Data Bases Using SAS Robert U. Anderson,
James W. Davis,
Steven Flint		 source
SUGI 1982 The Rank Transformation in Discriminant Analysis William Jay Conover,
Ronald L. Iman		 source 10
SUGI 1981 Three Approaches of Developing Summary Software in SAS Frances Wilson source 2
SUGI 1981 Utilization of SAS Software for Market-Oriented Data Manipulation James C. Becknell,
Carl M. Peters,
Michele K. Steigleder		 source 5
SUGI 1980 Evaluation of Discount Air Fare Plans R. A. Erickson,
F. K. Kuiper		 source
SUGI 1980 SAS at the Phila. Fed: Sequential, Hierarchical and Relational Data Structures Jack Siler source 5
SUGI 1978 A SAS-Based Small-Area Profile System: Its Use in Primary Care Resource Development Edward M. Bosanac source 6
SUGI.ONE 1976 A Comparison of BMD, SAS and SPSS T. Papaioannou,
G.P.H. Styan,
L.L. Ward		 source 21

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