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1092 papers and 28 presentations; 1048 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 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
WUSS 2026 The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] Danny R. Modlin source 36
WUSS 2026 The Living Dead in Your Cohort: Immortal Time Bias Detection and Correction in SAS Mehrnaz Siavoshi source 14
PharmaSUG CN 2026 Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation Jingbo Zhu,
Jiehan Zhang		 source 17
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PHUSE US 2026 An RShiny App for Real-Time Continuous Safety Monitoring in Post-POC Trials: A Bayesian Approach to Decision-Making Jinquan Wu source
presentation source		 11
PHUSE US 2026 Demystifying TMLE: A Practical Approach for Clinical Data Scientists Joshua Enxing 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 Next Generation QC Workflow Optimisation: Current Practices and Future Directions from the Emerging Trends & Innovation Working Group Matthew Finnemeyer,
Caroline Phares		 source
presentation source		 13
PHUSE US 2026 Practical Survival Analysis Techniques for Clinical Trials Using SAS Xue Ding,
Tianchen Xu		 source
presentation source		 10
PHUSE APAC 2026 A Hybrid Machine Learning Framework for Predicting Himanshu Dadhich,
Nikhil Khandelwal		 source
presentation source		 26
PHUSE APAC 2026 Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation Shakila Jagadeesan source
presentation source		 10
PHUSE APAC 2026 Estimation of the Hypothetical Estimands using Longitudinal version of the TMLE Shreya Wahi source
presentation source		 8
PHUSE APAC 2026 Targeted Maximum Likelihood Estimation: A Unified Approach for Confounding and Selection Bias Mahjoob O. Majeed,
Noel S. John		 source
presentation source		 6
PHUSE EU 2025 Bayesian Inference for Medical Device Reliability: Improving Safety and Effectiveness Assessments Shrutimita Pokhariyal source
presentation source		 7
PHUSE EU 2025 Collaborative Industry Open-Source Solutions for Clinical Trial Quality Management Björn Koneswarakantha,
Frederik Collin		 source
presentation source		 9
PHUSE EU 2025 GLMM and GEE for Categorical Repeated Measures - Linking SAS and R Miriam Amor source
presentation source		 16
PHUSE EU 2025 R-Burst: The User Support Approach Shaping GSK's Open-Source Strategy Andy Nicholls source
presentation source		 5
PHUSE EU 2025 SAIL.R: Navigating Change Together in Clinical Analytics! Annemie Van Dijck source
presentation source		 11
MWSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
MWSUG 2025 How to Modify SAS 9 Programs to Run in SAS Viya Danny R. Modlin source 40
MWSUG 2025 Logistic Regression Odyssey on a Small Sample Due to Rare Cancer [presentation] Brandy R. Sinco,
Jessie Dalman,
Tasha Hughes		 source 46
SESUG 2025 Is Hockey still Canada's game? How USA teams have won every Stanley Cup since 1994 Joe DeMaio,
Michael Frankel,
Long Doan,
Jon-Paul Faix,
Aaron Montgomery		 16
SESUG 2025 The GENMOD Toolkit: What do you do when things aren't Normal? Danny R. Modlin 36
WUSS 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
WUSS 2025 The GENMOD Toolkit: What do you do when things aren't Normal? [presentation] Danny R. Modlin source 36
PharmaSUG 2025 Association of Alzheimer-s Disease with Cardiovascular Disease and Depression in Older Adults: Findings from the 2018 Nationwide Inpatient Sample Prayag Shah source 27
PharmaSUG 2025 Calculating exact posterior probabilities and credible intervals from Bayesian borrowing robust mixture priors for binary, count and continuous outcomes in R and SAS Darren Scott,
Armando Turchetta		 source 20
PharmaSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 How Not to SAS: Avoiding Common Pitfalls and Bad Habits Melodie Rush source 10
PharmaSUG 2025 Incorporating Frailty into Time-to-Event Analysis: A Practical Approach with R frailtypack Sunil Kumar Pusarla,
Avani Reddy Alla		 source 9
PharmaSUG 2025 Super Learner for Predictive Modeling and Causal Analysis Honghe Zhao,
Clay Thompson,
Michael Lamm		 source 9
PharmaSUG 2025 Understanding HIV: At-Risk Populations, Treatment, Prevention and Standardized Data Representation in HIV Studies Jyoti (Jo) Agarwal source 12
PHUSE US 2025 Applications of Machine Learning and Artificial Intelligence in Real-World Data in Personalised Medicine for Non-Small Cell Lung Cancer Patients Samiul Haque source
presentation source		 8
PHUSE US 2025 Efficient Positioning of QTL and Secondary Limit Thresholds in Clinical Trial Risk-Based Monitoring Vladimir Shnaydman source
presentation source		 12
PHUSE US 2025 Enhancing Pharmaceutical Quality Assurance Through Large Language Models: A Novel Approach to Intelligent Regulatory Monitoring Jake Gagnon,
Hangyu (Cedric) Liu		 source
presentation source		 11
PHUSE US 2025 Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis Navneet Jha source
presentation source		 11
PHUSE US 2025 Risk Based Quality Management (RBQM) in Clinical Data Management Marcin Kot,
Anna Górecka		 source
presentation source		 9
PHUSE EU 2024 A Tutorial for JFM Analysis in SAS for Modelling Recurrent Events and Death Edyta Winciorek source
presentation source		 9
PHUSE EU 2024 Bootstrap Simulation for Outlier Detection in Operational Site Metrics Using Patient Reassignment Björn Koneswarakantha source
presentation source		 3
PHUSE EU 2024 Failed Clinical Trials: How to Benefit From Negative Experience Anna Amosova source
presentation source		 13
PHUSE EU 2024 Leveraging Bayesian Posterior Probability for Analysing Treatment Effects in Clinical Trials: A Statistical Programmer's Guide Vismaya Kondassam Veedu source
presentation source		 7
PHUSE EU 2024 Return On Investment as a Financial Feng-Shui in Data Science. Practical Strategies to Get Projects Accepted and Evaluated Iwona Matyjaszek source
presentation source		 2
WUSS 2024 Airbnb Consumer Behavior Analysis Evelyn Larson,
Anabeli Chandra		 source 14
WUSS 2024 Correlation of a Composite Self-Reported Symptoms Severity Score with Patient Number of Symptoms as Predictors of SARS-CoV-2 infection status/Viral Load using the SAS System [presentation] Jesse Albert Canchola,
Daniel Jarem,
Alison Kuchta		 source 54
WUSS 2024 Developing a SAS Macro for ISNI: Assessing Missing Data Sensitivity Beyond MAR Assumptions Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin		 source 16
WUSS 2024 From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality Yi-Che Chen,
Debanik Chakraborty		 source 15
WUSS 2024 Integration of an R Language Function Within SAS to Perform Conditional Multivariate Saddlepoint Approximation Christopher Johnson source 8
WUSS 2024 Limit of Detection Calculation Methods Comparison for PCR-based Quantitative Studies using the SAS System Jesse Albert Canchola source 13
PharmaSUG 2024 Advancing the Maturation of Standardized CRF Design Sugumaran Muthuraj,
Rubha Raghu		 source 9
PharmaSUG 2024 Applications of Machine Learning and Artificial Intelligence in Real World Data in Personalized Medicine for Non-Small Cell Lung Cancer Patients Sherrine Eid,
Samiul Haque,
S. Robert Collins		 source 8
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
PharmaSUG 2024 Bayesian Models with the Power Prior Using PROC BGLIMM Yi Gong,
Fang K. Chen		 source 15
PHUSE US 2024 A Primer to Pharma DevOps: Empowering R Package Development with DevOps Workflows and Automation Benjamin Straub source
presentation source		 5
PHUSE US 2024 Beyond Outliers: Unsupervised Anomaly Detection in Clinical Trial Data Helena Yaben,
Kian Norouzi		 source
presentation source		 9
PHUSE US 2024 Embracing the Future of Digitisation: Uninterrupted Data Flows from Protocol Design to Electronic Data Capture [presentation] William Illis,
Diana Ye		 source 18
PHUSE EU 2023 Comparing Analysis Method Implementations in Software (CAMIS): An Open Source Repository to Document Differences in Statistical Methodology Across Software Christina Fillmore source
presentation source		 7
WUSS 2023 Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics Colleen E. McGahan source 15
WUSS 2023 Quality Control - Defining an Acceptable Quality Standard without Achieving Perfection Bill Coar source 9
WUSS 2023 The Delta Method in Statistical Inference, with Applications in the SAS IML Procedure Carter Sevick,
Camille Moore,
Samantha MaWhinney		 source 14
SESUG 2023 %modelselect: A macro for automatically selecting statistical models based on fit statistics William B. Smith source 7
SESUG 2023 An Efficacy Rating for March Madness Tournament Seeding Joe DeMaio,
Nathalie Jones		 source 11
SESUG 2023 Binning Predictors for Logistic Regression Bruce S. Lund source 25
SESUG 2023 Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples Yaa Awuah,
Mostafa Zahed		 source 19
SESUG 2023 Wald Tests in Mixed Models - a Warning David A. Dickey source 20
PharmaSUG 2023 Fitting Logitoid-Normal distributions with MLE estimate by SAS SEVERITY and FCMP procedures Lili Huang,
Helen Dong,
Yuanyuan Liu		 source 8
PharmaSUG 2023 Guidelines for the Statistical Analysis in German Dossier Submissions Meiling Gao,
Xi Qian,
Hui Mao		 source 8
PharmaSUG 2023 Shifting the drug development paradigm with Adaptive Design and master protocol Aman Bahl source 16
PharmaSUG 2023 Statistical Considerations and Methods for Handling Missing Outcome Data in Clinical Trials During the Era of COVID-19 Xi Qian,
Chengfei Lu		 source 11
PharmaSUG 2023 Strategies for Code Validation at Statistical Center for HIV/AIDS Research and Prevention (SCHARP) Marie Vendettuoli,
Xuehan (Emily) Zhang,
Rodger Zou		 source 13
PHUSE EU 2022 Preparing for the "Q" in RBQM: The Framework for Risk-Based Quality Management [presentation] Jason Konn,
Alison Banda		 source 9
SESUG 2022 Invoking Survey Weights to Calculate Bayes' Factor with PROC MCMC to Generate More Generalizable Inferences Tyler Hicks,
Graham G. Rifenbark		 9
WUSS 2022 Study of cause and effect in medical research via SAS Statistical package Oleg Korovyanko source 11
PharmaSUG 2022 Generating Real World Evidence On The Likelihood Of Metastatic Cancer In Patients Through Machine Learning In Observational Research: Insights For Prevention Sherrine Eid,
Samiul Haque,
S. Robert Collins		 source 8
PHUSE EU 2021 Standing Room Only: ?LI01: From Concept to Reality: GSK's Journey to R as a Case Study for Innovation [presentation] Michael S Rimler source 11
PHUSE EU 2021 Transition Probability for Analysis of COVID Test Positivity Ra [presentation] Hrishikesh K S,
Limna Salim		 source
video		 10
SESUG 2021 Screening, Binning, Transforming Predictors for a Generalized Logit Model Bruce S. Lund source 17
PHUSE US 2021 A Bayesian Approach to Detection of Treatment-related Effects in Toxicology Studies by Borrowing Information from Historical Control Animals [presentation] Kevin Snyder,
Md Yousuf Ali		 source
video		 15
PHUSE US 2021 Comparative Characteristics of Logistic Regression Implementation in SAS and R in the Example of Cardiovascular Diseases [presentation] Serhii Kashyn source
video		 22
PHUSE US 2021 COVID-19 Presentation: CO01: Harnessing the Power of Shiny to Visualize Missing Data due to the COVID-19 Pandemic [presentation] Mark Rothe,
Sangeeta Bhattacharya		 source 13
PHUSE US 2021 Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions Han Fu,
Shahrul Mt-Isa		 source
video
presentation source		 10
PharmaSUG 2021 BAYESIAN Approach on COVID-19 test results Vidya Srinivas,
Ankita Sharma		 source 4
SGF 2021 Bayesian Analysis of GLMMs Using PROC BGLIMM Walter W. Stroup source
pdf		 25
SGF 2021 Weight of Evidence, Dummy Variables and Degrees of Freedom Bruce S. Lund source
sas
presentation
pdf		 15
PHUSE EU 2020 MI FOR MI, OR HOW TO HANDLE MISSING INFORMATION WITH MULTIPLE IMPUTATION Daria Shamaida source
video
presentation source		 8
PHUSE EU 2020 Unlocking the Potential of Big Data in Clinical Research [presentation] Vishal Kapoor source
video		 15
SESUG 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 13
SGF 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 13
SGF 2020 A Level Headed Approach to the METHOD=FASTQUAD Option in the GLIMMIX Procedure Sidney J. Hann source 11
SGF 2020 A Warning about Wald Tests David A. Dickey source 20
SGF 2020 Analyzing Non-normal Data: Application to Missing Data Problems Niloofar Ramezani source 10
SGF 2020 Don't Just Survive, Thrive with This Multi-Stratified Cox Proportional Hazards Model Macro Katelyn J. Ware,
Paul Egeler		 source 11
SGF 2020 Estimating Jump Diffusion and VaR Models of REITs Returns Using High-Frequency Data in SAS Tunde Odusami source 25
SGF 2020 Fitting Statistical Models with PROC MCMC Mark Ghamsary source 26
SGF 2020 How to Explain Your Black-Box Models in SAS Viya Funda Güneş source 26
SGF 2020 Introducing the GAMSELECT Procedure for Generalized Additive Model Selection Michael Lamm,
Weijie Cai		 source 25
SGF 2020 Is it possible to reduce smoking by increasing taxes? An analysis on Danish data using SAS software Anders Milhøj source 13
SGF 2020 Machine Learning Approach to Combat the Opioid Epidemic Navjot Kaur source 15
SGF 2020 Mixed-Effects Models and Complex Survey Data with the GLIMMIX Procedure L. Grisell Diaz-Ramirez,
Bocheng Jing		 source 10
SGF 2020 Modeling of Between - and Within-Subject Variances using Mixed Effects Location Scale (MELS) Models Qianheng Ma,
Donald Hedeker		 source 14
SGF 2020 Multinomial vs. Ordinal. Does model selection make a difference? for SAS Global Forum 2020 Corey Leadbeater source 15
SGF 2020 Rare Events or Non-Convergence with a Binary Outcome? The Power of Firth Regression in PROC LOGISTIC Patrick Karabon source 9
SGF 2020 Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes Joseph C. Gardiner source 23
SGF 2020 Using Analytics to Predict Tax Recovery and Prioritize Audits and Investigations in Canada Jason A. Oliver source 19
SGF 2020 Using SAS OpRisk Global Data to Improve Decision-Making at a Bank Mentje Gericke,
Helgard Raubenheimer		 source 17
PharmaSUG 2020 A Doctor's Dilemma: How Propensity Scores Can Help Control for Selection Bias in Medical Education Deanna Naomi Schreiber-Gregory source 14
PharmaSUG 2020 Are you Ready? Preparing and Planning to Make the Most of your Conference Experience Richann J. Watson,
Louise S. Hadden		 source 15
PharmaSUG 2020 Leading without Authority: Leadership At All Levels Janette Garner source 7
PHUSE US 2020 Handling Missing Data in Clinical Trials: Techniques and Methods Pennidhi Karlakunta,
Naveen Kommuru		 source
presentation source		 9
PHUSE US 2020 Penalized Likelihood Logistic Regression for Sparse Data Using Data Priors Martin Dörr source
presentation source		 5
PHUSE US 2020 Smart, Digital Analysis & Reporting (A&R) Environments: They Are Upon Us Christopher J. Colangelo source
presentation source		 8
PHUSE EU 2019 Dose-finding Schemes in Clinical Trials Michael Brockmann source
presentation source		 15
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SESUG 2019 Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations Censored Observations source 9
SESUG 2019 Glass Box Neural Networks Ross Bettinger source 14
SESUG 2019 Improving Employee Satisfaction Through Text Analytics Luis David Martinez source 15
SESUG 2019 Macros for Neural Network Modeling Ross Bettinger source 23
SESUG 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SESUG 2019 Time Series Forecasting using PROC MCMC SESUG 2019 Murali Sastry,
Tyler Hicks		 source 16
MWSUG 2019 Are you Ready? Preparing and Planning to Make the Most of your Conference Experience Richann J. Watson,
Louise S. Hadden		 15
MWSUG 2019 Logistic Regression, Basics and Beyond Bruce S. Lund 35
MWSUG 2019 Survival Tips for Survival Analysis Xiaoting Wu 13
MWSUG 2019 Surviving Survival Analysis 101: Making the Likelihood Ratio Test Easier Using a Macro Katelyn Ware,
Rachel Baxter		 13
WUSS 2019 Are you Ready? Preparing and Planning to Make the Most of your Conference Experience Richann J. Watson source 15
WUSS 2019 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes source 35
WUSS 2019 Limit of Detection (LoD) Estimation Using Maximum Likelihood from (Hit) Rate Data: The LoD_MLE SAS Macro Jesse Albert Canchola,
Jeffrey E. Vaks,
Shaowu Tang		 source 11
WUSS 2019 Ordinal vs. Multinomial: Does Model Selection Make a Difference? Corey Leadbeater source 14
PharmaSUG 2019 Avoiding Disaster: Manager's Guide on How to Rescue a Failing Outsourced Project Dilip Raghunathan source 9
PharmaSUG 2019 Bayesian Methods for Treatment Design in Rare Diseases Xuan Sun,
Ruohan Wang		 source 5
PharmaSUG 2019 PROC MIXED: Calculate Correlation Coefficients in the Presence of Repeated Measurements Qinlei Huang,
Radha Railkar		 source 16
PharmaSUG 2019 Project Management Fundamentals for Programmers and Statisticians Jennifer Sniadecki source 19
PharmaSUG 2019 Statistical application in Image Processing by Integrating C and SAS Vidhyavathi Venkataraman,
Srinand Ponnathapura Nandakumar,
Anupama Datta		 source 11
PharmaSUG 2019 Using Real-World Evidence to Affect the Opioid Crisis Sherrine Eid,
Andrea Coombs		 source 10
PharmaSUG 2019 Working from a Home Office Versus Working On-Site Timothy J. Harrington source 12
SGF 2019 Analyzing Restricted Mean Survival Time Using SAS/STAT Changbin Guo,
So Ying		 source 21
SGF 2019 Choice Model Analysis Using JMP Swarup C. Jacob,
Marc A. Tower		 source 6
SGF 2019 Fit Statistic Smoothing: Minimizing Bias in Time Series Forecasting Zachary D. Blizard source 12
SGF 2019 Google Store Revenue Probability Prediction Rohit Kaul,
Meera Govindan		 source 10
SGF 2019 IFRS9: Using SAS/ETD Software and SAS Studio to Select Macro Economic Variables Julio Alberto Campa Vega Filho source 19
SGF 2019 Joint Analysis of Failure Times and Time-Varying Covariates Joseph C. Gardiner source 22
SGF 2019 Predicting Inside the Dead Zone of Complete Separation in Logistic Regression Robert Derr source 15
SGF 2019 Predicting Patients at High Risk of Hospital-Acquired Conditions Using the LOGISTIC Procedure Jennifer Hargrove,
Pamela Hipp,
Glenn Sidle		 source 12
SGF 2019 Review and Comparing (Analyzing) Relationship between Teacher Judgment and Student Performance in North Carolina Sareh Meshkinfam,
Julie S. Ivy,
Amy C. Reamer		 source 15
SGF 2019 Screening, Transforming, and Fitting Predictors for the Cumulative Logit Model Bruce S. Lund source 21
SGF 2019 Survival Estimates Prediction with Survey Data Bocheng Jing,
L. Grisell Diaz-Ramirez,
W. John Boscardin,
Alexandra K. Lee,
Sei J. Lee		 source 12
SGF 2019 The Best of Both Worlds: Forecasting Using Time Series with Inputs David A. Dickey source 19
SGF 2019 The Transformation of Educational Data Using SAS : Introducing Intervention Analytics! Sean W. Mulvenon source 10
SGF 2019 Transforming Ordinal Predictors to Numeric For Binary Logistic Models Bruce S. Lund source 10
SGF 2019 Using SAS Procedures to Fit Rasch Models Tianshu Pan,
Yumin Chen		 source 10
SGF 2019 Zero-Inflated and Zero-Truncated Count Data Models with the NLMIXED Procedure Robin High source 18
PHUSE US 2019 Managing Privacy Risk in Data & Documents Sharing - Lessons Learned Balancing Progress & Perfection [presentation] Julie Holtzople,
Stephen Baker		 source 29
SCSUG 2018 Backward Elimination in Firth's penalized partial likelihood Approach: Firth's Logistic and Cox Models Chao Zhang source 7
SCSUG 2018 Predicting the Federal Reserve?s Next Federal Funds Rate Decisions Nhan Nguyen source 13
PHUSE EU 2018 Forest Plots in Survival Subgroup Analyses Michael Brockmann,
Julia Benzing		 source
presentation source		 11
PHUSE EU 2018 Serious Adverse Events Identification: A Machine Learning Approach [presentation] Jingshu Liu,
Laura Katz		 source 37
SESUG 2018 A Flexible Approach to Computing Bayes' Factors with PROC MCMC Tyler Hicks source 9
SESUG 2018 Forecasting: Something Old, Something New David A. Dickey source 26
MWSUG 2018 Application of heavy-tailed distributions using PROC IML, NLMIXED and SEVERITY Palash Sharma 14
MWSUG 2018 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson 37
MWSUG 2018 Bootstrap Linear Mixed-Effects Models using SAS Procedures Adams Kusi Appiah 17
MWSUG 2018 Computer Karma: Non-Monetary Benefits from Statistical And Information Technology Volunteer Work Brandy R. Sinco 11
MWSUG 2018 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes 35
MWSUG 2018 Handling Missing Data in Exploratory Factor Analysis Using SAS Min Chen 3
MWSUG 2018 Screening, Transforming, and Fitting Predictors for Cumulative Logit Model Bruce S. Lund 22
WUSS 2018 Agreeing to Disagree: Using SAS to Make Reasoned Decisions When Information Criteria Select Different Models Wendy Christensen source 10
WUSS 2018 Combined Predictor Selection for Multiple Clinical Outcomes Using PHREG L. Grisell Diaz-Ramirez,
Siqi Gan,
Sei J. Lee,
Alexander Smith,
John Boscardin		 source 14
WUSS 2018 Forecasting tourist's arrivals to the USA with SARIMA models. Mostafa Zahedjahromi source 9
WUSS 2018 Forecasting: Something Old, Something New David A. Dickey source 26
WUSS 2018 Using PROC MCMC in a Process Control Setting: An Illustrative Example with PROC IML Austin R. Brown source 8
PHUSE US 2018 Missing Data Imputation and Its Effect on the Accuracy of Classification Edwin Ponraj Thangarajan,
Giri Balasubramanian		 source
presentation source		 15
PharmaSUG 2018 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
PharmaSUG 2018 Real World Patients: The intersection of Real World Evidence and Episode of Care Analytics David Olaleye,
Youngjin Park		 source 15
PharmaSUG 2018 What makes a good QC Programmer? Timothy J. Harrington source 8
SGF 2018 A Fraud Management Solution for Middle Market Banks and Ways to Reduce False Positives Gourish Hosangady source 6
SGF 2018 Alternative Variance Parameterizations in Count Data Models Robin High source 14
SGF 2018 Analytics + IoT = Happy (Utility + Customer) Bradley Lawson source 9
SGF 2018 Bayesian Concepts: An Introduction John Amrhein,
Fei Wang		 source 10
SGF 2018 Bayesian Networks for Causal Analysis John Amrhein,
Fei Wang		 source 11
SGF 2018 Cause-Specific Analysis of Competing Risks Using the PHREG Procedure Changbin Guo source 18
SGF 2018 Confirmatory Factor Analysis in SAS : Application to Public Administration Niloofar Ramezani source 13
SGF 2018 Development of an Individual-Level Social Determinants of Health (SDoH) Classification Model Ryan C. Butterfield,
Paul A. LaBrec		 source 13
SGF 2018 Economic Capital Modeling with SAS Econometrics Mahesh V. Joshi source 19
SGF 2018 Enhancing Subscription-Based Business by Predicting Churn Likelihood Smitha Etlapur source 12
SGF 2018 Forecasting: Something Old, Something New David A. Dickey source 26
SGF 2018 From Academy to Industry: An Experimental Student Journey [presentation] Francesco Costigliola source 28
SGF 2018 Getting Started with Bayesian Analysis [presentation] Danny R. Modlin source 14
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SGF 2018 Getting to Know the No-Show: Predictive Modeling of Missing a Medical Appointment Joe Lorenz source 10
SGF 2018 Insights into Using the GLIMMIX Procedure to Model Categorical Outcomes with Random Effects Kathleen Kiernan source 23
SGF 2018 Model Selection Using Information Criteria (Made Easy in SAS ) Wendy Christensen source 12
SGF 2018 Penalized Variable Selection and Quantile Regression in SAS : An Overview Russell M. Lavery source 28
SGF 2018 Power Analysis for Generalized Linear Models Using the New CUSTOM Statement in PROC POWER John M. Castelloe source 17
SGF 2018 Regime-Switching Models: Capturing Structural Changes in Time Series Xilong Chen,
Ji Shen		 source 14
SGF 2018 Regression Model Building for Large, Complex Data with SAS Viya Procedures Weijie Cai,
Robert N. Rodriguez		 source 22
SGF 2018 Role of Preventive Care and Lifestyle Changes in Chronic Diseases Asish Satpathy,
Satyajit Behari		 source 13
SGF 2018 The Ensemble of Neural Network and Gradient Boosting for the Prediction of Customer Profitability Sunny Lam source 15
SGF 2018 The Function Selection Procedure Bruce S. Lund source 11
SGF 2018 Using the IML Procedure to Examine the Efficacy of a New Control Charting Technique Austin R. Brown source 8
SESUG 2017 Applying Logistics Regression to Forecast Annual Organizational Retirements Alan Dunham source 12
SESUG 2017 Binning of Predictors for the Cumulative Logit Model Bruce S. Lund source 20
SESUG 2017 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 25
PHUSE EU 2017 How to Fit Longitudinal Data with Proc MCMC Maud Henion source
presentation source		 16
PHUSE EU 2017 Plausible Adversaries in Re-Identification Risk Assessment Lukas Kniola source
presentation source		 10
PHUSE EU 2017 Programming Solutions when Developing a Database Compare Macro Michael S Rimler source
presentation source		 8
MWSUG 2017 Correcting for Selection Bias in a Clinical Trial Shana Kelly 8
MWSUG 2017 Correlation and Structural Equation Analysis on the Effects of Anti-Discrimination Policies and Resources on the Well Being of Lesbian, Gay, and Bisexual College Students Brandy R. Sinco,
Michael Woodford,
Jun Sung Hong,
Jill Chonody		 22
MWSUG 2017 Logistic Model Selection with SAS PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT Bruce S. Lund 18
MWSUG 2017 Unconventional Statistical Models with the NLMIXED Procedure Robin High 14
MWSUG 2017 Using SAS to Compare Two Estimation Methods on the Same Outcome: Example from First Trimester Pregnancy Weights Brandy R. Sinco,
Edith Kieffer,
Kathleen Welch,
Diana Welmerink Bolton		 15
WUSS 2017 Examining the Performance of a Control Chart for the Shifted Exponential Distribution using Penalized Maximum Likelihood Estimators: A Simulation Study using SAS Austin R. Brown,
Bryce Whitehead		 source 8
WUSS 2017 Integrating Health Data Sources to Identify, Stratify, and Predict High Utilizers of Public Systems Benjamin Knisley,
Joshua Morgan,
Linn Carothers,
Keith Haigh		 source 15
WUSS 2017 Next Best Offer Analytics using SAS Robin E. Way,
William Eisenhauer		 source 12
WUSS 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez source 19
PharmaSUG 2017 Data Monitoring Committee Report Programming: Considering a Risk-Based Approach to Quality Control Amber Randall,
Bill Coar		 source 9
PharmaSUG 2017 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 20
SGF 2017 %SURVEYGENMOD Macro: An Alternative to Deal with Complex Survey Design for the GENMOD Procedure Alan Ricardo da Silva source 28
SGF 2017 A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression Sai Liu source
zip		 19
SGF 2017 Advanced Hierarchical Modeling with the MCMC Procedure Fang K. Chen,
Maura E. Stokes		 source 21
SGF 2017 An Investigation into Big Data Analytics Applied to Insurance Rebecca Peters,
Penny Holborn		 source 18
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 Continuous Predictors in Regression Analyses Ruth Croxford source 12
SGF 2017 Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard		 source 15
SGF 2017 Fitting a Flexible Model for Longitudinal Count Data Using the NLMIXED Procedure Darcy Morris source 6
SGF 2017 Fitting Complex Statistical Models with NLMIXED and MCMC Procedures Robin High source 14
SGF 2017 Interrupted Time Series Power Calculation using DO Loop Simulations Nigel Rozario,
Andrew McWilliams,
Charity Moore		 source 15
SGF 2017 Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers Sunny Lam source 20
SGF 2017 Optimize My Stock Portfolio! A Case Study with Three Different Estimates of Risk Aric LaBarr source 11
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SGF 2017 PROC LOGISTIC: Using New SAS 9.4 Features for Cumulative Logit Models with Partial Proportional Odds Paul Hilliard source
zip
pdf		 16
SGF 2017 Real AdaBoost: Boosting for Credit Scorecards and Similarity to WOE Logistic Regression Paul Edwards source 12
SGF 2017 Revenue Score: Forecasting Credit Card Products with Zero Inflated Beta Regression and Gradient Boosting Marc Witarsa,
Paulo Di Cellio Dias		 source 20
SGF 2017 SAS Macros for Binning Predictors with a Binary Target Bruce S. Lund source 13
SGF 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez,
Phil Gibbs		 source 19
SGF 2017 Stress Testing and Supplanting the LOCK Statement: Using Mutex Semaphores for Reliable File Locking Troy Martin Hughes source 28
SGF 2017 The Effects of Socioeconomic, Demographic Variables on US Mortality Using SAS Visual Analytics Catherine Loveless-Schmitt source
pdf		 22
SGF 2017 The Three Amigos Factors: Determining Term Deposit Purchases: How a Bank Can Get Other People's Money Gina Colaianni,
Bogdan Gadidov,
Matthew Mitchell		 source 59
SGF 2017 The Truth Is Out There: Leveraging Census Data Using PROC SURVEYLOGISTIC Richard Dirmyer source 5
SGF 2017 Using a Population Average Model to Investigate the Success of a Customer Retention Strategy Colleen E. McGahan source 19
SGF 2017 Using Segmentation to Build More Powerful Models with SAS Visual Analytics Darius S. Baer,
Sam Edgemon		 source 18
SGF 2017 Weight of Evidence Coding for the Cumulative Logit Model Bruce S. Lund source 15
SESUG 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SESUG 2016 Analyzing non-normal data with categorical response variables Niloofar Ramezani,
Allameh Tabataba'i		 source 9
SESUG 2016 Mixture Priors 101: Using SAS to Obtain Powerful Frequentist Inferences with Bayesian Methods Tyler Hicks,
Jeffrey D. Kromrey		 source 8
SESUG 2016 Stress Testing and Supplanting the SAS LOCK Statement: Implementing Mutex Semaphores To Provide Reliable File Locking in Multiuser Environments To Enable and Synchronize Parallel Processing Troy Martin Hughes source 27
PHUSE EU 2016 Considerations in the Use of Propensity Scoresin Observational Studies Lawrence Rasouliyan,
Estel Plana		 source
presentation source		 17
MWSUG 2016 An Animated Guide: Penalized variable selection techniques in SAS and Quantile Regression Russell M. Lavery,
Peter Flom		 24
MWSUG 2016 Fitting Complex Statistical Models with PROCs NLMIXED and MCMC Robin High 16
MWSUG 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen,
Gordon Brown,
Maura E. Stokes		 27
MWSUG 2016 Stress Testing and Supplanting the SAS LOCK Statement: Implementing Mutex Semaphores To Provide Reliable File Locking in Multiuser Environments To Enable and Synchronize Parallel Processing Troy Martin Hughes 27
MWSUG 2016 To be two or not be two, that is a LOGISTIC question Robert G. Downer 10
MWSUG 2016 Use Multi-Stage Model to Target the Most Valuable Customers Chao Xu,
Jing Ren,
Hongying Yang		 10
MWSUG 2016 Weight of Evidence Coding and Binning of Predictors in Logistic Regression Bruce S. Lund 16
WUSS 2016 Bayesian Concepts: An Introduction John Amrhein source 8
WUSS 2016 Constructing Confidence Intervals for the Differences of Binomial Proportions in SAS William Garner source 13
WUSS 2016 Did the Protocol Change Work? Interrupted Time Series Evaluation for Health Care Organizations. Carol Conell,
Alexander C. Flint		 source 14
WUSS 2016 Fitting Threshold Models using the SAS Procedures NLIN and NLMIXED Todd Coffey source 11
WUSS 2016 Fitting Your Favorite Mixed Models with PROC MCMC Fang K. Chen source 27
WUSS 2016 How to analyze correlated and longitudinal data? Niloofar Ramezani source 8
WUSS 2016 Introduction to Survival Analysis in SAS Leanne Goldstein,
Rebecca Ottesen		 source 19
WUSS 2016 Selection Bias: How Can Propensity Score Utilization Help Control For It? Deanna Naomi Schreiber-Gregory source 13
WUSS 2016 Short Introduction to Reliability Engineering and PROC RELIABILITY to Non-Engineers Danny Rithy source 7
PharmaSUG 2016 PrecMod: An Automated Precision SAS Macro for Random Effects Models Jesse Albert Canchola,
Pari Hemyari		 source 15
PharmaSUG 2016 Simulation of Data using the SAS System, Tools for Learning and Experimentation Kevin R. Viel,
Bevan K. Youse		 source 11
PharmaSUG 2016 Unequalslopes: Making life easier when the proportional odds assumption fails Matthew J. Wiedel source 11
SGF 2016 A SAS Macro for Geographically Weighted Negative Binomial Regression Alan Ricardo da Silva,
Thais Rodrigues		 source
zip		 20
SGF 2016 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
SGF 2016 Analysis of Grades for University Students Using Administrative Data and the IRT Procedure Sara Armandi source 13
SGF 2016 Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions Niloofar Ramezani source 16
SGF 2016 Applying Frequentist and Bayesian Logistic Regression to MOOC data in SAS: a Case Study Yan Zhang,
Ryan Baker,
Yoav Bergner		 source
presentation		 7
SGF 2016 Competing-Risks Analyses: An Overview of Regression Models Joseph C. Gardiner source 22
SGF 2016 Correcting the Quasi-complete Separation Issue in Logistic Regression Models Xinghe Lu source 10
SGF 2016 Creating a Q-gram Algorithm to Determine the Similarity of Two Character Strings Joe DeShon source 7
SGF 2016 Customer Lifetime Value Modeling Vadim Pliner source
presentation		 4
SGF 2016 Cyclist Death and Distracted Driving: Important Factors to Consider Lysbeth Floden,
Melanie Bell,
Patrick O'Connor		 source 12
SGF 2016 Exact Logistic Models for Nested Binary Data in SAS Kyle Irimata,
Jeffrey Wilson		 source 6
SGF 2016 Finding and Evaluating Multiple Candidate Models for Logistic Regression Bruce S. Lund source
zip		 17
SGF 2016 Fitting Your Favorite Mixed Models with PROC MCMC Gordon Brown,
Fang K. Chen,
Maura E. Stokes		 source 27
SGF 2016 Generalized Linear Models for Non-Normal Data Theresa H. Ngo source 5
SGF 2016 Latent Class Analysis Using the LCA Procedure Patricia A. Berglund source 18
SGF 2016 Lyric Complexity and Song Popularity: Analysis of Lyric Composition and Relation among Billboard Top 100 Songs John Harden,
Yang Gao,
Vojtech Hrdinka,
Chris Linn		 source 15
SGF 2016 MCMC in SAS: From Scratch or by PROC Chelsea Lofland source 19
SGF 2016 Multiple-Group Multiple Imputation: An Empirical Comparison of Parameter Recovery in the Presence of Missing Data using SAS Patricia Rodríguez de Gil,
Jeffrey D. Kromrey		 source 15
SGF 2016 Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS 9.4 and SAS Enterprise Miner 14.1 Quyen Nguyen source 12
SGF 2016 Probability Density for Repeated Events Bruce S. Lund source 16
SGF 2016 PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design Walter W. Stroup source
zip		 19
SGF 2016 Streaming Decisions: How SAS Puts Streaming Data to Work Fiona McNeill,
David R. Duling,
Steve Sparano		 source
zip		 15
SGF 2016 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Phil Gibbs source 21
SGF 2016 Using SAS to Conduct Multivariate Statistical Analysis in Educational Research: Exploratory Factor Analysis and Confirmatory Factor Analysis Jun Xu,
Steven L. Holtzman,
Kevin Petway,
Lili Yao		 source 13
SCSUG 2015 Using SAS Software to Determine the Mixed Rotterdam Demand Model Parameters and Test Statistical References Maryam Tabarestani,
Hector Zapata		 23
MWSUG 2015 Cutpoint Determination Methods in Survival Analysis Using SAS: Updated %FINDCUT Macro Jeffrey P. Meyers,
Jayawant N. Mandrekar		 7
MWSUG 2015 Fitting and Evaluating Logistic Regression Models Bruce S. Lund 26
MWSUG 2015 SAS Software as an Essential Tool in Statistical Consulting and Research Erika Larsen,
Timothy E. O'Brien		 13
PHUSE EU 2015 Bias Reduction in Observational Cohort Studies - Obtaining Matched Cohorts Using Propensity Scores Shelley Fordred,
Victor Kiri		 source
presentation source		 8
PHUSE EU 2015 How to Reduce Bias in the Estimates of Count Data Regression Ashwini Joshi,
Sumit Singh		 source
presentation source		 10
PHUSE EU 2015 If I Had a Hammer Diana Stuart source
presentation source		 3
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 Adaptive Fractional Polynomial Modeling in SAS George J. Knafl source 10
SESUG 2015 An Intermediate Guide to Estimating Multilevel Models for Categorical Data using SAS PROC GLIMMIX Whitney Smiley,
Elizabeth A. Leighton,
Zhaoxia Guo,
Mihaela Ene,
Bethany A. Bell		 source 16
SESUG 2015 ANOVA_Robust: A SAS Macro for Various Robust Approaches to Testing Mean Differences in One-Factor ANOVA Models Thanh V. Pham,
Eun Sook Kim,
Diep T. Nguyen,
Yan Wang,
Jeffrey D. Kromrey,
Yi-Hsin Chen		 source 14
SESUG 2015 Confidence Intervals for Binomial Proportion Using SAS: The All You Need to Know and No More... Confidence Intervals,
Jiangtang Hu		 source 10
SESUG 2015 Optimizing Pilot Connection Time Using PROC REG and PROC LOGISTIC Andrew Hummel,
Shevawn Christian		 source 4
SESUG 2015 Probability Density for Repeated Events Bruce S. Lund source 16
WUSS 2015 A Short Introduction to Longitudinal and Repeated Measures Data Analyses Leanne Goldstein source 19
WUSS 2015 Approximation methods and quadrature points in PROC NLMIXED: A simulation study using structured latent curve models Nate Smith,
Shelley A. Blozis		 source 10
WUSS 2015 Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) Peter L. Flom source 25
WUSS 2015 SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data Maura E. Stokes source 25
PharmaSUG CN 2015 Why Statistical Analysis Plan (SAP) should be comprehensive. Riddhi Merchant,
Ranjith Prayankotveettil		 6
PharmaSUG 2015 %PIC_NPMLE: A SAS Macro For Nonparametric Estimation In Partly Interval-Censored Survival Data Liang Zhu,
Yimei Li,
Qinlei Huang		 source 12
PharmaSUG 2015 Missing Data For Repeated Measures: Single Imputation VS Multiple Imputation Giulia Tonini,
Simona Scartoni,
Camilla Paoli,
Andrea Nizzardo,
Angela Capriati		 source 10
PharmaSUG 2015 Transitions in Depressive Symptoms After 10 Years of Follow-up Using PROC LTA Seungyoung Hwang source 7
SGF 2015 A Model Family for Hierarchical Data with Combined Normal and Conjugate Random Effects [presentation] Geert Molenberghs source 54
SGF 2015 Adaptive Randomization Using PROC MCMC Qianyi Huang,
John Amrhein		 source 13
SGF 2015 Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression Edwin Rivera,
Jim West		 source 12
SGF 2015 Count Series Forecasting Michael J. Leonard source 14
SGF 2015 Cutpoint Determination Methods in Survival Analysis Using SAS: Updated %FINDCUT Macro Jayawant N. Mandrekar,
Jeffrey P. Meyers		 source 8
SGF 2015 Donor Sentiment and Characteristic Analysis Using SAS Enterprise Miner and SAS Sentiment Analysis Studio Ramcharan Kakarla,
Goutam Chakraborty		 source 12
SGF 2015 Double Generalized Linear Models Using SAS: The %DOUBLEGLM Macro Paulo Silva,
Alan Ricardo da Silva		 source
zip		 16
SGF 2015 Equivalence and Noninferiority Testing Using SAS/STAT Software John M. Castelloe,
Donna Watts		 source 23
SGF 2015 Forest Plotting Analysis Macro %FORESTPLOT Jeffrey P. Meyers,
Qian Shi		 source 18
SGF 2015 From a One-Horse to a One-Stoplight Town: A Base SAS Solution to Preventing Data Access Collisions Using Shared and Exclusive File Locks Troy Martin Hughes source 18
SGF 2015 Imputing Missing Data using SAS Christopher Yim source 9
SGF 2015 Incorporating External Economic Scenarios into Your CCAR Stress Testing Routines Kenneth Sanford,
Christian Macaro		 source 10
SGF 2015 Jeffreys Interval for One-Sample Proportion with SAS/STAT Software Wu Gong source 7
SGF 2015 Modelling Operational Risk Using Extreme Value Theory and Skew t-Copulas via Bayesian Inference Using SAS Betty Johanna Garzon Rozo source 20
SGF 2015 Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics Mihaela Ene,
Bethany A. Bell,
Genine L. Blue,
Elizabeth Leighton		 source 12
SGF 2015 Multiple Ways to Detect Differential Item Functioning in SAS Yan Zhang source 9
SGF 2015 Predicting Readmission of Diabetic Patients Using the High-Performance Support Vector Machine Algorithm of SAS Enterprise Miner 13.1 Hephzibah Munnangi,
Goutam Chakraborty		 source 10
SGF 2015 Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers Using SAS Enterprise Miner 12.1 Balamurugan Mohan,
Goutam Chakraborty		 source 18
SGF 2015 SAS/STAT 14.1: Methods for Massive, Missing, or Multifaceted Data Maura E. Stokes,
Bob Rodriguez		 source 25
SGF 2015 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund source 16
SGF 2015 Survival Analysis with Survey Data Joseph C. Gardiner source 17
SGF 2015 Tell Me What You Want: Conjoint Analysis Made Simple Using SAS Delali Agbenyegah source 14
SGF 2015 The %ic_mixed Macro: A SAS Macro to Produce Sorted Information Criteria (AIC and BIC) List for PROC MIXED for Model Selection Qinlei Huang source 16
SGF 2015 The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT Denys Osipenko,
Jonathan Crook		 source 19
SGF 2015 Using SAS to Increase Profitability through Cluster Analysis and Simplicity: Follow the Money [presentation] Sherrie Rodriguez source 9
SGF 2015 Using the SAS-PIRT Macro for Estimating the Parameters of Polytomous Items Sung-Hyuck Lee source 9
SCSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 13
SESUG 2014 Analysis of Zero Inflated Longitudinal Data Using Proc NLMIXED Delia C Voronca,
Leonard E Egede,
Mulugeta Gebregziabher,
Ralph H. Johnson		 source 18
SESUG 2014 Analyzing Multilevel Models with the GLIMMIX Procedure Min Zhu source 19
SESUG 2014 Don't be binary! Tales of Non-binary Categorical Regression Charlotte Baker source 6
SESUG 2014 Impact of Q-matrix Misspecification on Cognitive Attribute Estimation in the Crossed Random Effects LLTM Model with the SAS GLIMMIX Procedure Yi-Hsin Chen 11
SESUG 2014 Modeling Cognitive Processes of Learning with SAS Procedures Isaac Y. Li,
Yi-Hsin Chen,
Chunhua Cao,
Yan Wang		 source 11
SESUG 2014 Multilevel Models for Categorical Data Using SAS PROC GLIMMIX: The Basics Mihaela Ene,
Elizabeth A. Leighton,
Genine L. Blue,
Bethany A. Bell		 source 12
SESUG 2014 Penalizing Your Models: An Overview of the Generalized Regression Platform Michael Crotty,
Clay Barker		 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 Small Sample Bayesian Factor Analysis Dirk Heerweghm source
presentation source		 18
MWSUG 2014 Analyzing Collection Effectiveness using Incremental Response Modeling Ryan Burton 7
MWSUG 2014 Preparing Interaction Variables for Logistic Regression Bruce S. Lund 9
MWSUG 2014 Selection and Transformation of Continuous Predictors for Logistic Regression Bruce S. Lund 12
MWSUG 2014 Tell Me What You Want: Conjoint Analysis Made Simple Using SAS Delali Agbenyegah 14
WUSS 2014 From a One-Horse to a One-Stoplight Town: A Base SAS Solution to Preventing Data Access Collisions through the Detection and Deployment of Shared and Exclusive File Locks Troy Martin Hughes source 15
WUSS 2014 Fuzzy Bootstrap Matching Dale Harrington source 9
WUSS 2014 Options in Estimating Nonlinear Mixed Models: Quadrature points and Approximation Methods Nate Smith,
Shelley A. Blozis		 source 7
WUSS 2014 Practice Pattern Instrumental Variables for Comparative Effectiveness Carol Conell,
Alexander C. Flint		 source 15
WUSS 2014 Using PROC FACTOR for variable inclusion in PROC SURVEYLOGISTIC: A Case Study Deanna Naomi Schreiber-Gregory source 35
PharmaSUG 2014 A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory source 23
PharmaSUG 2014 A Parameterized SAS Macro to Select an Appropriate Covariance Structure in Repeated Measures Data Analysis Using PROC MIXED Leela Aertker,
Paul Nguyen,
Charity Quick		 source 3
PharmaSUG 2014 Risk-Based Approach to Identifying and Selecting Clinical Sites for Sponsor's Preparation for FDA/EMA Inspection Xiangchen (Bob) Cui source 21
PharmaSUG 2014 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 19
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen		 source 13
PharmaSUG 2014 The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction Ashwini S Erande,
Shaista Malik		 source 11
PharmaSUG 2014 Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios Besa Smith,
Tyler C. Smith		 source 23
SGF 2014 %COVTEST: A SAS Macro for Hypothesis Testing in Linear Mixed Effects Models via Parametric Bootstrap Peter Ott source 9
SGF 2014 A Mental Health and Risk Behavior Analysis of American Youth Using PROC FACTOR and SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory source 23
SGF 2014 A SAS Macro for Complex Sample Data Analysis Using Generalized Linear Models Paulo Henrique Dourado da Silva,
Alan Ricardo da Silva		 source 19
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 Analysis of Data with Overdispersion Using SAS [presentation] Jorge Morel source 67
SGF 2014 Analyzing Data from Experiments in Which the Treatment Groups Have Different Hierarchical Structures Sharon Lohr,
Peter Schochet		 source 12
SGF 2014 Analyzing Interval-Censored Data with the ICLIFETEST Procedure Changbin Guo,
Ying C. So,
Gordon Johnston		 source 16
SGF 2014 Analyzing Multilevel Models with the GLIMMIX Procedure Min Zhu source 18
SGF 2014 Association of Socio-Emotional Factors: Religious Affiliation, Depression to Suicidal Tendency Among Adolescent Girls Sesha Sai Ega,
Chandra Shekar Pulipati,
Venkata Rachapudi		 source 6
SGF 2014 Examples of Logistic Modeling with the SURVEYLOGISTIC Procedure Rob Agnelli source 17
SGF 2014 Getting Started with the SAS/IML Language Rick Wicklin source 21
SGF 2014 Got Randomness? SAS for Mixed and Generalized Linear Mixed Models David A. Dickey source 12
SGF 2014 Leveraging Advanced Analytics to Create Customer-Centric Assortments Christopher Matz source 10
SGF 2014 Leveraging Publicly Available Data in the Classroom Using SAS PROC SURVEYLOGISTIC Tyler C. Smith,
Besa Smith		 source 18
SGF 2014 Measures of Fit for Logistic Regression Paul D. Allison source 12
SGF 2014 Missing Data: Overview, Likelihood, Weighted Estimating Equations, and Multiple Imputation [presentation] Geert Molenberghs source 56
SGF 2014 Modeling Fractional Outcomes with SAS Wensui Liu,
Jason Xin		 source 17
SGF 2014 Modeling Loss Given Default in SAS/STAT Xiao Yao,
Jonathan Crook,
Galina Andreeva		 source 9
SGF 2014 Regression Analysis of Duration and Severity Data: New Capabilities with SAS Software Joseph C. Gardiner source 19
SGF 2014 SAS Predictive Asset Maintenance: Find Out Why Before It's Too Late! George S. Habek source 19
SGF 2014 SAS/STAT 13.1 Round-Up Bob Rodriguez,
Maura E. Stokes		 source 25
SGF 2014 The Use of Analytics for Insurance Claim Fraud Detection: A Unique Challenge Roosevelt Mosley,
Nick Kucera		 source 15
WUSS 2013 A Tutorial on PROC LOGISTIC Arthur X. Li source 19
WUSS 2013 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 24
WUSS 2013 The Association of Morbid Obesity with Mortality and Coronary Revascularization among Patients with Acute Myocardial Infarction using ARRAYS, PROC FREQ and PROC LOGISTIC" Ashwini Erande,
Shaista Malik		 source 11
WUSS 2013 The Impacts of the Canadian Wheat Board Ruling on the North American Malt Barley Markets: Demonstrating a Copula Approach to Data Simulation Heidi Schweizer source 8
WUSS 2013 User-Specified Likelihood Expressions Using NLMIXED and the GENERAL Statement Melissa McTernan,
Shelley A. Blozis		 source 4
WUSS 2013 Using PROC NLMIXED to Fit Correlated Residual Error Structures in Nonlinear Mixed Models Shelley A. Blozis,
Jeffrey Harring		 source 5
SCSUG 2013 Preparing Interaction Variables for Logistic Regression Bruce S. Lund source 14
SESUG 2013 An Intermediate Primer to Estimating Linear Multilevel Models Using SAS PROC MIXED Bethany A. Bell,
Whitney Smiley,
Mihaela Ene,
Phillip R. Sherlock,
Genine L. Blue		 source 13
SESUG 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 16
SESUG 2013 Fit Discrete Distributions via SAS Macro Fit Discrete Distributions source 5
SESUG 2013 GLIMMIX_Rasch: A SAS Macro for Fitting the Dichotomous Rasch Model Yi-Hsin Chen source 10
SESUG 2013 PROC FORMAT in DATA Step mathematics Elizabeth Schreiber source 5
PHUSE EU 2013 Around the World in Three Statistical Models: Determing the Level of Measurement Invariance Across Countries of a PRO Instrument Dirk Heerwegh source
presentation source		 29
PHUSE EU 2013 Bayesian Statistics: Concept and Bayesian Capabilities in SAS Mark Janssens source
presentation source		 15
PHUSE EU 2013 Extensions of Cox Model for Non-Proportional Hazards Purpose Jadwiga Borucka source
presentation source		 10
MWSUG 2013 A Tutorial on PROC LOGISTIC Arthur X. Li 19
MWSUG 2013 Adventures in Path Analysis and Preparatory Analysis Brandy R. Sinco,
Phillip L. Chapman		 19
MWSUG 2013 An Analysis of Risk Behavior Trends and Mental Health in American Youth Using PROC SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory 15
MWSUG 2013 Analyzing Categorical Variables from Complex Survey Data Using PROC SURVEYFREQ Taylor Lewis 20
MWSUG 2013 Dealing with Data below the Detection Limit: Limit Estimation and Data Modeling Mark Bailey,
Diane K. Michelson		 21
MWSUG 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey 16
MWSUG 2013 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2013 Information Value Statistic Bruce S. Lund,
David Brotherton		 18
MWSUG 2013 Residential Energy Efficiency and the Principal-Agent Problem Ryan Anderson 11
MWSUG 2013 Statistical Models for Proportional Outcomes Wensui Liu,
Kelly Zhao		 17
NESUG 2013 Exploring the Relationship Between Mental Health and Risky Behaviors in American Youth Using PROC SURVEYFREQ and SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory 9
NESUG 2013 Marketing and Granger Causality: Going Beyond Correlation Jonathan Prantner 11
PharmaSUG 2013 Bayesian Analysis of Survival Data with SAS PHREG Procedure Ryan Brady source 8
PharmaSUG 2013 Combining Analysis Results from Multiply Imputed Categorical Data Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly		 source 19
PharmaSUG 2013 Time to Event Analysis in the Pharmaceutical and Medical Device Industries Helen M. Chmiel,
Evan L. Ritzema		 source 8
SGF 2013 %MIXED_FIT: A SAS Macro to Assess Model Fit and Adequacy for Two-Level Linear Models Bethany A. Bell,
Mihaela Ene,
Whitney Smiley		 source
pdf		 8
SGF 2013 A Multilevel Model Primer Using SAS PROC MIXED Bethany A. Bell,
Jason A. Schoeneberger,
Mihaela Ene,
Whitney Smiley		 source 19
SGF 2013 A SAS Macro for Applying Multiple Imputation to Multilevel Data Stephen Mistler source 8
SGF 2013 A SAS Macro for Computing Pooled Likelihood Ratio Tests with Multiply Imputed Data Stephen Mistler source 10
SGF 2013 Are You Discrete? Patients' Treatment Preferences and the Discrete Choice Experiment Beeya Na,
Eric P. Elkin		 source 6
SGF 2013 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson source 36
SGF 2013 Exploring Health Trends and Risk Behavior Analysis in American Youth Using PROC SURVEYFREQ and PROC SURVEYLOGISTIC Deanna Naomi Schreiber-Gregory source 11
SGF 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 16
SGF 2013 Getting Started with the SAS/IML Language Rick Wicklin source 21
SGF 2013 Growth Spline Modeling Eric Day,
Matthew Schuelke,
Robert Terry		 source
pdf		 9
SGF 2013 Joint Modeling of Mixed Outcomes in Health Services Research Joseph C. Gardiner source 16
SGF 2013 Maximizing the Power of Hash Tables David J. Corliss source 8
SGF 2013 Missing No More: Using the MCMC Procedure to Model Missing Data Fang K. Chen source 23
SGF 2013 Models for Ordinal Response Data Robin High source 16
SGF 2013 Ordinal Response Modeling with the LOGISTIC Procedure Bob Derr source 20
SGF 2013 Predicting Health Care Expenditures with the MCMC Procedure Gregory Watson source 12
SGF 2013 The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity Dirk Van den Poel,
Philippe Baecke		 source 15
NESUG 2012 A Model for Extreme Stacking of Data at Endpoints of a Distribution Robert J. Gallop 8
NESUG 2012 Applying Business Analytics to Optimize Clinical Research Operations David Handelsman 8
NESUG 2012 Building a Predictive Model for 30-Day Inpatient Readmission Using PROC PHREG Klaus Lemke 13
NESUG 2012 Efficiently Screening Predictor Variables for Logistic Models Steven Raimi,
Bruce S. Lund		 13
NESUG 2012 Introducing the FMM Procedure for Finite Mixture Models Maura E. Stokes 22
SCSUG 2012 Net Present Value Model Approach Jingjing Qu source 7
PHUSE EU 2012 Estimating Terminal Half Life by Non-Compartmental Methods with Some Data Below the Limit of Quantification Jochen Müller-Cohrs source 6
PHUSE EU 2012 The Logic and Logistics of Logistic Regression, Including New Features in SAS 9.2 Lawrence Rasouliyan source
presentation source		 16
SESUG 2012 %MIXED_FIT: A SAS Macro to Assess Model Fit and Adequacy for Two-Level Linear Models Mihaela Ene source 8
SESUG 2012 Fitting Bayesian hierarchical multinomial logit models in PROC MCMC Fitting Bayesian source 8
SESUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
MWSUG 2012 A Brief Survey of Clustering and Segmentation for Customer Intelligence George J. Hurley 18
MWSUG 2012 Collapsing Levels of Predictor Variables for Logistic Regression and Weight of Evidence Coding Bruce S. Lund,
Steven Raimi		 13
MWSUG 2012 Customer Sentiment Imputation Using Hash Tables David J. Corliss 8
MWSUG 2012 Modeling Complex Survey Data Taylor Lewis 16
MWSUG 2012 Models for Ordinal Response Data Robin High 11
MWSUG 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 18
WUSS 2012 Basic Statistics with SAS Enterprise Guide: For Learners and Teachers and Everyone Else AnnMaria De Mars,
Chelsea Heaven		 source 20
WUSS 2012 Best Practices: Use Coding Shortcuts to Avoid Typsos and Add Flexibility Mary F. O. Rosenbloom,
Edwards Lifesciences,
Kirk Paul Lafler		 source 7
WUSS 2012 Exploratory Factor Analysis with the World Values Survey Diana D. Suhr source 19
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 Power plant emissions, pediatric asthma, and school attendance: A spatial identification analysis Anton Bekkerman,
Jake Morgan		 source 12
WUSS 2012 PROC FREQ Is More Than Just Simply Generating a 2-by-2 Table Wuchen Zhao source 11
WUSS 2012 Sensitivity analysis of nonlinear mixed-effects models for longitudinal data that areincomplete Shelley A. Blozis source 6
WUSS 2012 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
PharmaSUG CN 2012 Fitting PK Models with SAS NLMIXED Procedure (Paper, Appendix) Halimu Haridona pdf 6
PharmaSUG 2012 Are You Discrete? Patients' Treatment Preferences and the Discrete Choice Experiment Beeya Na,
Eric P. Elkin		 source 5
PharmaSUG 2012 Computing Initial Values for Pharmacokinetic ML Nonlinear Regression via genetic algorithms and parallel genetic algorithms Francisco Juretig source 11
PharmaSUG 2012 Estimating Risk in the Presence of Unreported Zeros in the Data Brandon Fleming source 7
PharmaSUG 2012 EXACTing a Price: Compute Fisher-s Exact Test P-values Only When Needed Robert D. Abelson source 6
PharmaSUG 2012 Pattern-Mixture Models as Linear Combinations of Least Squares Means from MMRM with Delta Method Variance Estimation Bohdana Ratitch,
Michael O'Kelly		 source 15
SGF 2012 Applying Business Analytics to Optimize Clinical Research Operations David Handelsman source 8
SGF 2012 Better, Consistent Customer Experience from Analytically Based Real-Time Decisions Toshi Tsuboi source 8
SGF 2012 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
SGF 2012 Black Box PROCs: PROC LOGISTIC Discovered Isabel H. Perry source 7
SGF 2012 CSI: Customer Segmentation Intelligence for Increasing Profits Darius S. Baer source 13
SGF 2012 Customer Experience Modeling Estelle Marianne,
Nick Merry,
Wendy Au		 source 7
SGF 2012 Developing a Predictive Model for Customer Trip Purpose to Be Integrated into Enterprise Strategy and Analytics Jonathan Levine source 16
SGF 2012 Easily Add Significance Testing to your Market Basket Analysis in SAS Enterprise Miner Michael Faron,
Goutam Chakraborty		 source 6
SGF 2012 Exploratory Factor Analysis with the World Values Survey Diana D. Suhr source 19
SGF 2012 Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR Jonathan Steinberg source 10
SGF 2012 Handling Missing Data by Maximum Likelihood Paul D. Allison source 21
SGF 2012 Implementing Control Selection Using Hash Tables: A Case Study Craig Kasper source 10
SGF 2012 Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX Philippe Baecke,
Dirk Van den Poel		 source 11
SGF 2012 Inflated Beta Regression: Zero, One, and Everything in Between Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac		 source 11
SGF 2012 Introducing the FMM Procedure for Finite Mixture Models David Kessler,
Allen McDowell		 source 22
SGF 2012 Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner Sascha Schubert,
Susan Haller,
Taiyeong Lee		 source 15
SGF 2012 Knowledge (of Your Missing Data) Is Power: Handling Missing Values in Your SAS Data Set Theresa Schwartz,
Rachel Zeig-Owens		 source 8
SGF 2012 Making it Happen: Using SAS to Implement Business Intelligence and Analytics in Small and Midsize Organizations Richard R. Hallquist,
Dragos Coles,
Lorrie Gallego		 source 16
SGF 2012 Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods Joseph C. Gardiner source 15
SGF 2012 Tips and Strategies for Mixed Modeling with SAS/STAT Procedures Kathleen Kiernan,
Jill Tao,
Phil Gibbs		 source 18
SGF 2012 Using SAS to Extend Logistic Regression Dachao Liu source 8
SGF 2012 Your Survival Guide to Using Time-Dependent Covariates Melissa E. Bagnell,
Teresa M. Powell		 source 10
SCSUG 2011 A Simulation Study for Power Analysis in a Longitudinal Study Using SAS Ravi Lingineni source 4
SCSUG 2011 SAS-Implementations Supporting Satellite, Aircraft, and Drone-based Remote Sensing Endeavors and Their Influences in the Classroom Cecil R. Hallum source 16
SESUG 2011 A Coding Practice for Preparing Adaptive Multistage Testing Yung-Chen Hsu source 6
SESUG 2011 Analysis of a Binary Outcome Variable Using the FREQ and LOGISTIC Procedures Arthur X. Li source 18
SESUG 2011 Eyes on the Road: A Methodology for Analyzing Complex Eye-Tracking Data Eye Tracking source 11
SESUG 2011 JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research Melvin T. Alexander source 18
SESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen		 source 20
SESUG 2011 Tailoring Logistic Regression Model Analyses with the ODDSRATIO Statement in PROC LOGISTIC Taylor Lewis source 8
SESUG 2011 Using SAS to Examine Aging Expectation (ERA-38) for Older Adults Abbas S. Tavakoli,
Julie Freelove-Charton		 source 8
WUSS 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby source 19
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 Beyond Breslow-Day: Homogeneity Across R x C Tables Ginny Lai source 7
WUSS 2011 Estimating Disease Prevalence from Clinical Data Using Capture-Recapture Carol Conell source 10
WUSS 2011 Fitting latency models in epidemiological studies Bryan Langholz source 7
WUSS 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes source 20
WUSS 2011 Up To Speed With Categorical Data Analysis Maura E. Stokes source 25
MWSUG 2011 An Introduction to the Analysis of Rare Events Nathaniel Derby 19
MWSUG 2011 Before Logistic Modeling - A Toolkit for Identifying and Transforming Relevant Predictors Steven Raimi,
Bruce S. Lund		 18
MWSUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen,
Ying So		 20
MWSUG 2011 Optimizing Clinical Research Operations with Business Analytics David Handelsman 6
MWSUG 2011 Using SAS to Extend Logistic Regression Dachao Liu 8
NESUG 2011 An Animated Guide: An Introduction to Latent Class Clustering in SAS Russell M. Lavery 16
NESUG 2011 An Optimal Search Process of "Eigen Knots" for Spline Logistic Regression John Gao,
Cheryl Caswell		 7
NESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes 20
PharmaSUG 2011 Evaluating Safety Signals in Clinical Trials: the Dirichlet-NBD Model Implementation with SAS Yuqin Li,
Xiaohai Wan		 source 7
PharmaSUG 2011 Formulas Calculating Risk Estimates and Testing for Effect Modification and Confounding Manojkumar B Agravat source 44
PharmaSUG 2011 Implementation of Pairwise Fitting Technique for Analyzing Multivariate Longitudinal Data in SAS Madan G. Kundu source 12
SGF 2011 Bivariate Count Data Regression Models: A SAS Macro Program Nan-Ting Chou,
David Steenhard		 source 10
SGF 2011 Living with Generalized Linear Mixed Models Walter W. Stroup source 18
SGF 2011 Logit Models in Practice: B, C, E, G, M, N, O, ... Joseph C. Gardiner,
Zhehui Luo		 source 20
SGF 2011 Making Use of Incomplete Observations in the Analysis of Structural Equation Models: The CALIS Procedures Full Information Maximum Likelihood Method in SAS/STAT 9.3 Yiu-Fai Yung,
Wei Zhang		 source 20
SGF 2011 Modeling Percentage Outcomes: The %Beta_Regression Macro Christopher J. Swearingen,
Maria S. Melguizo,
Zoran Bursac		 source 12
SGF 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
SGF 2011 Optimizing Clinical Research Operations with Business Analytics David Handelsman source 6
SGF 2011 Patron Analytics in the Casino and Gaming Industry: How the House Always Wins Scott W. Sutton source 7
SGF 2011 Predictive Analysis of Auto Insurance Purchasing Behavior on the Internet Roosevelt Mosley source 15
SGF 2011 Ratemaking Using SAS Enterprise Miner: An Application Study Billie Anderson source 20
SGF 2011 Repeated Measures Analysis of Correlated Data with Multiple Responses Using SAS Anbuchelvi Jeyabslasingham,
Anpalaki J. Ragavan		 source 10
SGF 2011 SAS/ETS and the Nobel Prize David A. Dickey source 14
SGF 2011 Taking Disease and Health Management Analytics into the Next Generation George S. Habek source 13
SGF 2011 The RANDOM Statement and More: Moving On with PROC MCMC Fang K. Chen source 21
SGF 2011 Up To Speed With Categorical Data Analysis Gary G. Koch,
Maura E. Stokes		 source 25
SGF 2011 Using PROC LOGISTIC to Estimate the Rasch Model Tianshu Pan,
Yumin Chen		 source 7
NESUG 2010 An Animated Guide: An introduction to Poisson Regression Russell M. Lavery 17
NESUG 2010 Binomial Reliability Using DATA Step Calculations Elizabeth A. Schreiber 4
NESUG 2010 Exploring the Dimensionality of Large-Scale Standardized Educational Assessments Using PROC FACTOR Jonathan Steinberg 8
NESUG 2010 Improve Customer Retention by Answering Who and Why? Ward Thomas 8
NESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen		 20
WUSS 2010 Dummy Coding for Dummies Kathryn Martin source 10
WUSS 2010 The Next Generation: SAS/STAT 9.22 Robert N. Rodriguez source 20
PHUSE EU 2010 Assesment of Cox Proportional Hazard Model Adequacy Using PROC PHREG and PROC GPLOT Jadwiga Borucka source
presentation source		 13
MWSUG 2010 Adequacy and Information Values: Two Tools for Ranking Predictors in Generalized Linear Models Douglas Thompson 21
MWSUG 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey 12
MWSUG 2010 Novel Use of SAS Software in Industrial and Biomedical Consulting, Research, and Teaching Timothy E. O'Brien 13
MWSUG 2010 PROC LIFEREG or PROC PHREG Dachao Liu 9
MWSUG 2010 PROC MIXED: Underlying Ideas with Examples David A. Dickey 19
MWSUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes 20
MWSUG 2010 Using HPMIXED and Other SAS Procedures to Efficiently Analyze Large Dimension Registry Data Matthew Fenchel,
Gary McPhail,
Rhonda D. VanDyke		 19
MWSUG 2010 Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards Michael G. Wilson 24
SESUG 2010 A Macro for Calculating Summary Statistics on Left Censored Environmental Data using the Kaplan-Meier Method Dennis J. Beal source 6
SESUG 2010 Developing a Model for Person Estimation in Puerto Rico for the 2010 Census Coverage Measurement Program Colt S. Viehdorfer source 12
SESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Bob Rodriguez,
Robert A. Cohen		 source 20
PharmaSUG 2010 An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure Paul T. Savarese,
Michael J. Patetta		 23
PharmaSUG 2010 Dynamic Determination of Mixed Model Covariance Structures in Double-blind Clinical Trials Matthew Davis 7
SGF 2010 An Analytical Approach to Determining Customer Value in the Property and Casualty Insurance Industry Roosevelt Mosley source 20
SGF 2010 An Overview of the CLASS, CONTRAST, and HAZARDRATIO Statements in the SAS 9.2 PHREG Procedure Paul T. Savarese,
Michael J. Patetta		 source 23
SGF 2010 Analyzing Interval-Censored Survival Data with SAS Ying C. So,
Gordon Johnston		 source 14
SGF 2010 Detecting Claim Fraud and Improving Product Quality: Case Studies in Reducing Warranty Costs David Froning source 8
SGF 2010 Ideas and Examples in Generalized Linear Mixed Models David A. Dickey source 12
SGF 2010 Improving Your Statistical Consulting Prowess by Adding R to Your SAS Repertoire Mark Austen,
Jeffrey M. Gossett,
Maria S. Melguizo,
Chan-Hee Jo		 source 11
SGF 2010 Investigating the Impact of Medicare Part D on Diabetes Medications Using SAS Enterprise Miner and Survival Analysis Xiao Wang source 13
SGF 2010 Modeling the Severity of Random Events with the SAS/ETS SEVERITY Procedure Mahesh V. Joshi source 20
SGF 2010 Not Hazardous to Your Health: Proportional Hazards Modeling for Survey Data with the SURVEYPHREG Procedure Pushpal K. Mukhopadhyay source 13
SGF 2010 Predictions of Infection and Their Accuracy Patricia B. Cerrito,
John C. Cerrito		 source 13
SGF 2010 SAS 9.2 Business Analytics Framework and IBM PowerVM Virtualization Deployment Scenarios Darrell Barton,
Frank Battaglia,
Alfredo Mendoza		 source 12
SGF 2010 Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments Joseph C. Gardiner source 23
SGF 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez		 source 20
SGF 2010 Using the NLMIXED Procedure to Fit Linear and Nonlinear Growth Curve Models Mo Zheng source 6
SGF 2010 Using the SAS Survey Procedures for Subpopulation Analysis with Jackknife Repeated Replication Methods in SAS 9.2 Zhuoqiao Wang,
William R. Waldron		 source 9
SESUG 2009 A Logistic Regression Model to Predict Freshmen Enrollments Vijayalakshmi Sampath,
Andrew Flagel		 source 12
SESUG 2009 A Monte Carlo Study to Evaluate the Robust Standard Error Feature in the PHREG procedure Ji Li,
Xu Zhang		 source 7
SESUG 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
SESUG 2009 Imputation for Censored Observations in Survival Studies Allowing for a Positive Cure Rate Alan B. Cantor source 6
SESUG 2009 PROC MIXED: Macro to assess fixed and random effects for significance using the Likelihood Ratio test and the approximate Mixture Method Barbara H. Bardenheier source 7
PHUSE EU 2009 Safety analysis using Bayesian simulation methods in SAS 9.2 Armin Gemperli source 8
MWSUG 2009 A Class of Predictive Models for Multi-Level Risks Wensui Liu,
Chuck Vu,
Sandeep Kharidhi		 13
MWSUG 2009 Demonstration of Organic Growth Modeling for B to B Marketing Karen Ziton 15
MWSUG 2009 Dietary Glycemic Load and Risk of Colon Cancer: A Guide to Data Management Svetlana Zelenskiy,
Lauren Byrne,
Cheryl L. Thompson,
Thomas C. Tucker,
David Bruckman,
Li Li		 16
MWSUG 2009 Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures Yang Yuan 20
MWSUG 2009 Ranking Predictors in Logistic Regression Douglas Thompson 13
NESUG 2009 Using the New SURVEY Procedures From a Modeling Perspective Jonas V. Bilenas 13
WUSS 2009 A Biometric Analysis of Twin Data Using PROC MIXED Mo Zheng source 8
WUSS 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
WUSS 2009 Guidelines for Reliability, Confirmatory and Exploratory Factor Analysis Diana D. Suhr,
Mary Shay		 source 15
WUSS 2009 Using PROC LOGISTIC to Estimate Willingness to Pay for Fresh Produce Mikael Peterson source 4
PharmaSUG 2009 Generating Model Based Subgroup Analysis Using SAS Procedures Tracy Lin,
Jie Huang		 4
PharmaSUG 2009 Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 Robert G. Downer,
Patrick J. Richardson		 11
PharmaSUG 2009 The Existence of Maximum Likelihood Estimates for the Logistic Regression Model William F. McCarthy,
Nan Guo		 12
SGF 2009 A Class of Predictive Models for Multi-Level Risks Wensui Liu,
Chuck Vu,
Sandeep Kharidhi		 source 13
SGF 2009 A Comprehensive Credit Assessment Framework: Overview and Implications for the Subprime Crisis Clark R. Abrahams,
Sunny Zhang		 source 14
SGF 2009 A Flexible Count Data Regression Model Using SAS PROC NLMIXED Nan-Ting Chou,
David Steenhard		 source 14
SGF 2009 A SAS Macro for Adaptive Regression Modeling George J. Knafl source 9
SGF 2009 Analysis of Survival Data with Clustered Events Lida Gharibvand,
Lei Liu		 source 11
SGF 2009 Bayesian Modeling Using the MCMC Procedure Fang K. Chen source 22
SGF 2009 Comparison of Features and Applications of Four Linear Models Procedures Larry W. Douglass source 19
SGF 2009 Easier Exploratory Analysis for Epidemiology: A Grad Student "How-To" Paper Elisa L. Priest,
Brian Adams,
Lori A. Fischbach		 source 11
SGF 2009 Group Sequential Analysis Using the New SEQDESIGN and SEQTEST Procedures Yang Yuan source 20
SGF 2009 The Problem of Regression Assumptions and the Use of Predictive Modeling Patricia B. Cerrito source 20
SGF 2009 Using GEE to Model Student's Satisfaction: A SAS Macro Approach Teck Kiang Tan,
Trivina Kang,
David Hogan		 source 12
WUSS 2008 Evaluation of a Hospice Care Referral Program Using Cox Proportional Hazards Model Lida Gharibvand,
Daniel R. Jeske,
Solomon Liao		 source 16
SESUG 2008 Count Regression Models in SAS David Steenhard,
Nan-Ting Chou		 source 12
SESUG 2008 Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression Travis A. Moebes source 9
SESUG 2008 PROC SQL for Exact Testing Trend in Proportions Jonghyeon Kim,
Neal Oden,
Sungyoung Auh		 source 10
PHUSE EU 2008 A gentle introduction to Survival Analysis Martin Scottt,
Angelo Tinazzi		 source 13
PHUSE EU 2008 Statistically guided review of safety data in clinical trials Michael O'Connell,
Harry Southworth		 source 12
PHUSE EU 2008 Statistics for Non-Statisticians Shambhavi Nayak source 10
MWSUG 2008 Consensus NMF: A unified approach to two-sided testing of micro array data Paul Fogel,
S. Stanley Young		 41
MWSUG 2008 Imputation of Categorical Missing Data: A comparison of Multivariate Normal and Multinomial Methods Holmes Finch,
Matt Margraf		 12
MWSUG 2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito 19
NESUG 2008 Analysis of Correlated Recurrent and Terminal Events Data in SAS Li Lu,
Chenwei Liu		 8
NESUG 2008 Early Detection of Epidemic Outbreaks and Financial Bubbles Using Autoregressive Models with Structural Changes Ernest S. Shtatland,
Timur Shtatland		 15
NESUG 2008 SAS Program for Bivariate Growth Curve with Kalman Filter Amy E. Begley,
Qianyu Dang,
Patricia R. Houck,
Sati Mazumdar		 6
PharmaSUG 2008 Automated SAS Macro for Adverse Event Logistic Regression Analysis Suhas R. Sanjee 8
PharmaSUG 2008 Sample Size Estimation for Trials of Recurrent Events Kuolung Hu 8
PharmaSUG 2008 The Logic and Logistics of Logistic Regression Lawrence Rasouliyan,
Dave P. Miller		 14
PharmaSUG 2008 TPHREG and GLMSELECT: Using the CLASS statement in SAS 9.1 Laura E. Archer 11
SGF 2008 Advanced Statistical and Graphical features of SAS PHREG Lida Gharibvand,
George C. J. Fernandez		 source 12
SGF 2008 Convergence Failures in Logistic Regression Paul D. Allison source 11
SGF 2008 Count Data Models in SAS Wensui Liu,
Jimmy Cela		 source 12
SGF 2008 Data Mining Application of Non-Linear Mixed Modeling in Water Quality Analysis Anpalaki J. Ragavan source 14
SGF 2008 Evaluating Predictive Models: Computing and Interpreting the c Statistic Sigurd W. Hermansen source 9
SGF 2008 How to Use SAS to Fit Multiple Logistic Regression Models Anpalaki J. Ragavan source 13
SGF 2008 It's 9:00 AM: Do You Know Where Your Critical Talent Is? Retention Analytics for Human Capital Management Lynn Creecy,
Bradley W. Klenz		 source 11
SGF 2008 Lithium Battery Analysis: Probability of Failure Assessment Using Logistic Regression Travis A. Moebes source 9
SGF 2008 Modeling Zero-Inflated Count Data with Underdispersion and Overdispersion Adrienne Tin source 11
SGF 2008 Operational Risk: Economic Capital (EC) Modeling with a Loss Distribution Approach Sabri G. Uner source 14
SGF 2008 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 18
SGF 2008 Reliability and Validity Testing using SAS/STAT Andrea Roofe source 8
SGF 2008 Using PROC GENMOD to find a fair house insurance rate for the Norwegian market Sverre Grevskott,
Sten Sture		 source 9
SGF 2008 Zero-Inflated Poisson and Zero-Inflated Negative Binomial Models Using the COUNTREG Procedure Donald Erdman,
Arthur V. Sinko		 source 11
NESUG 2007 An Algorithm to Compute Exact Power of an Unordered RxC Contingency Table Vivek Pradhan,
Stian Lydersen		 8
NESUG 2007 Butting Heads on Matched Cohort Analysis Using SAS Software Melvin T. Alexander 12
NESUG 2007 Nonlinear Programming for Maximum Likelihood Estimation Robert J. Gallop 12
NESUG 2007 Offset Techniques in Predictive Modeling for Insurance Matthew J. Flynn,
Jun Yan		 9
NESUG 2007 PROC LOGISTIC: The Logistics Behind Interpreting Categorical Variable Effects Taylor Lewis 7
NESUG 2007 Using the New SURVEY Procedures From a Modeling Perspective Jonas V. Bilenas 13
SESUG 2007 Discrete Choice Modeling with PROC MDC John Ang source 6
SESUG 2007 PROC MIXED: Underlying Ideas with Examples David A. Dickey source 19
SESUG 2007 Virtual and Traditional Teams: Are they Really Different? (Development and Validation of a Measure using SAS/STAT) Andrea J Roofe source 12
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
WUSS 2007 Recreating the SELECTION=SCORE Model Specification with the BEST=n Effect Selection Option for PROC SURVEYLOGISTIC Sara R. Adams,
David R. Mink,
Dave P. Miller		 source 8
WUSS 2007 Survival Analysis Plots Using SAS ODS Graphics Lida Gharibvand,
George C. J. Fernandez		 source 10
WUSS 2007 Time Series Cross Sectional Analysis of Total Nitrogen Concentration in Truckee River, Nevada Using SAS Anpalaki J. Ragavan source 11
SCSUG 2007 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson 10
PNWSUG 2007 Utilizing PHREG for Cox proportional hazards regression modeling with time-varying covariates Marla J. Husnik,
Eugene Huang		 14
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 Growing Up Fast: SAS 9.2 Enhancements to the GLIMMIX Procedure Oliver Schabenberger source 20
SGF 2007 Latent Class Analysis in SAS-Promise, Problems, and Programming David M. Thompson source 12
SGF 2007 Predictive Modeling in Higher Education Tom Bohannon source 14
SGF 2007 SAS Macros for Automated Model Selection When the Response Variable Is Nominal-Needs and Solutions Involving PROC CATMOD Bonnie E. Williams,
Todd Kegan		 source 12
SGF 2007 Using PROC NLMIXED and PROC GLMMIX to Analyze Dyadic Data with a Dichotomous Dependent Variable Peter L. McMahon,
James M. Pouget,
Enrique R. Flom		 source 10
SGF 2007 Using SAS PROC NLMIXED for Robust Regression Steven A. Chen,
Lingyun Gilbert		 source 9
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
PHUSE EU 2006 Analysis of incomplete two-period crossover trials with SAS PROC MIXED Jochen Müller-Cohrs source 8
SESUG 2006 A Simulation Study of Sequential Testing Approaches in Genetics Andres Azuero,
David T. Redden		 source 8
SESUG 2006 Individual Growth Analysis Using PROC MIXED Individual Growth source 10
SESUG 2006 Using SAS Enterprise Miner to Examine General Education Issues Patricia B. Cerrito source 12
WUSS 2006 Get the Correct Hazard Ratio from SAS PROC PHREG Procedure Betty Ying Wang source 7
WUSS 2006 Mixed Model Selection via the Information-Theoretic Approch using SAS Jesse Albert Canchola,
Torsten B. Neilands		 source 7
WUSS 2006 PROC GENMOD with GEE to Analyze Correlated Outcomes Data Using SAS Tyler C. Smith,
Besa Smith		 source 14
WUSS 2006 The Basics of Structural Equation Modeling Diana D. Suhr source 19
WUSS 2006 The Logic and Logistics of Logistic Regression Lawrence Rasouliyan,
Dave P. Miller		 source 14
NESUG 2006 Logistic Regression Basics Joseph J. Guido,
Paul Winters,
Adam Rains		 7
NESUG 2006 Segmentation For Insurance Payments Michael Sherlock 10
NESUG 2006 Statistical analysis of clustered data using SAS Gui-Shuang Ying,
Chengcheng Liu		 13
NESUG 2006 Using PROC NLMIXED and PROC GLIMMIX to analyze dyadic data with binary outcomes Peter L. Flom,
Samuel Friedman,
James McMahon,
Enrique Pouget		 10
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
PharmaSUG 2006 A SAS Macro to Find the Best Fitted Model for Repeated Measures Using PROC MIXED Jingjing Wang 8
PharmaSUG 2006 Analyzing Ordinal Repeated Measures Data Using SAS Bin Yang 8
PharmaSUG 2006 Generating Half-normal Plot for Zero-inflated Binomial Regression Zhao Yang,
Xuezheng Sun		 12
SUGI 2006 Care and Feeding of Your SAS Consultant and Don't Bite the Hand That Feeds You - Two Views on Consulting and Consultants. Peter W. Eberhardt,
Dianne Piaskoski		 source 7
SUGI 2006 Combining the Power of ODS, Data Set Concatenation, and DDE to Output Customized Statistical Results from SAS to Microsoft Excel Navneet K. Dhand,
Jenny-Ann Toribio		 source 10
SUGI 2006 Exploratory or Confirmatory Factor Analysis? Diana D. Suhr source 17
SUGI 2006 Exploring Alternative Predictive Modeling Techniques to Strengthen the Customer Relationship David Bordeleau source 5
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
SUGI 2006 MDIRT-FIT: SAS Macros for Fitting Multidimensional Item Response Sung-Hyuck Lee source 9
SUGI 2006 Performing Latent Class Analysis Using the CATMOD Procedure David M. Thompson source 8
SUGI 2006 SAS Web Analytics 5.2 - What's New? Jonathan E. Polito source 19
SUGI 2006 The Enigma of Survey Data Analysis: Comparison of SAS Survey Procedures and SUDAAN Procedures Katherine L. Baisden,
Paul Hu		 source 11
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
SESUG 2005 The Missing Link: Data Analysis with Missing Information Venita DePuy source 9
SESUG 2005 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 source 21
PHUSE EU 2005 Power calculation of non-inferiority trials assuming poisson distributions Corinna Miede,
Jochen Müller-Cohrs		 source 11
WUSS 2005 A Comparison of Missing Data Handling Methods Catherine Truxillo source 20
WUSS 2005 A Journey to Ellis Island: Profiling Historical Immigration Using SAS and JMP Time Series Methods Archie J. Calise,
Joseph E. Earley		 source 6
WUSS 2005 Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG Tyler C. Smith,
Besa Smith		 source 18
WUSS 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
WUSS 2005 Principal Component Analysis vs. Exploratory Factor Analysis Diana D. Suhr source 10
NESUG 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger 20
NESUG 2005 Predictive Modeling Using Survival Analysis Vadim Pliner 10
PharmaSUG 2005 Pharmacovigilance and Drug Safety Reporting Algorithms (Content and Process) David Olaleye,
Michael Kilhullen,
Gail Kongable,
Tanyss Mason,
Eugenia Bastos,
Edward D. Helton		 8
SUGI 2005 An Introduction to Quantile Regression and the QUANTREG Procedure Colin Chen source 24
SUGI 2005 Analyzing Incomplete Binary Repeated Measures Data Using SAS Bin Yang source 8
SUGI 2005 Benchmark Dose Estimation Using SAS Matthew W. Wheeler source 9
SUGI 2005 Effective Project Management of SAS Projects: Adapting the PMI Framework Gina Davidovic source 9
SUGI 2005 Introducing the GLIMMIX Procedure for Generalized Linear Mixed Models Oliver Schabenberger source 20
SUGI 2005 IRT-FIT: SAS Macros for Fitting Item Response Theory (IRT) Models Robert Terry,
Sung-Hyuck Lee		 source 9
SUGI 2005 Maximum Likelihood Parameter Estimation with Incomplete Data Catherine Truxillo source 19
SUGI 2005 Parameterizing Models to Test the Hypotheses You Want: Coding Indicator Variables and Modified Continuous Variables David J. Pasta source 20
SUGI 2005 Power Simulation for Categorical Data Using the RANTBL Function Joel A. Dubin,
Theodore R. Holford,
Peter H. Van Ness		 source 12
SUGI 2005 Predicting Customer Value Will Potts source 6
SUGI 2005 Principal Component Analysis versus Exploratory Factor Analysis Diana D. Suhr source 11
SUGI 2005 Single Event Timing Model with Heterogeneity: Predicting the Time of the First Home Purchase by Immigrants Eugene Brusilovskiy source 9
SUGI 2005 Testing the Hypothesis of a Kroneckar Product Covariance Matrix in Multivariate Repeated Measures Data Anuradha Roy,
Ravindra Khattree		 source 11
SUGI 2005 Using the Proportional Odds Model for Health-Related Outcomes: Why, When, and How with Various SAS Procedures Marc Gameroff source 8
NESUG 2004 A Fast, High-Precision Implementation of the Univariate One-Parameter Box-Cox Transformation Using the Golden Section Search in SAS/IML Charles D. Coleman 4
NESUG 2004 Using PROC GENMOD for Loglinear Smoothing Tim Moses,
Alina A. von Davier		 17
SESUG 2004 Mixed Model Influence Diagnostics Oliver Schabenberger source 17
WUSS 2004 Beyond Binary Outcomes: PROC LOGISTIC to Model Ordinal and Nominal Dependent Variables Eric P. Elkin source 8
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
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 Parameterizing Models to Test the Hypotheses You Want: Coding Indicator Variables and Modified Continuous Variables David J. Pasta source 12
WUSS 2004 PROC GENMOD for Analysis of Correlated Outcome Data Using the LOGIT Link Function Tyler C. Smith,
Besa Smith,
William Honner,
Ming Ji		 source 14
MWSUG 2004 Presenting the Binary Logit Model Effectively using SAS Hun Myoung Park 11
PharmaSUG 2004 Making Model Selection in Linear Mixed-Effects Models An Easy Process: A SAS Macro Procedure Henry Cheng,
Yuli Xie,
Elizabeth Reinbolt		 4
PharmaSUG 2004 Traditional Repeated Measures Analysis Versus Random Coefficients Models Using PROC MIXED Radhi Abdulnabi 9
SUGI 2004 A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain		 source 11
SUGI 2004 An Introduction to Matching and Its Application Using the SAS System Jayawant N. Mandrekar,
Sumithra J. Mandrekar		 source 9
SUGI 2004 Assessing Model Fit and Finding a Fit Model Margaret L. Bogle,
Rajiv Goel,
Robert M. Hamer,
Chan-Hee Jo,
Eric Siegel,
Pippa M. Simpson		 source 17
SUGI 2004 Bayesian Model Averaging Using SAS Software Melissa Whitney,
Ngo Long		 source 9
SUGI 2004 Creating Scales from Questionnaires: PROC VARCLUS vs. Factor Analysis David J. Pasta,
Diana D. Suhr		 source 19
SUGI 2004 Fitting Longitudinal Mixed Effect Logistic Regression Models with the NLMIXED Procedure Peter H. Van Ness,
John R. O'Leary,
Amy L. Byers,
Terri R. Fried,
Joel A. Dubin		 source 7
SUGI 2004 Head of the CLASS: Impress Your Colleagues with a Superior Understanding of the CLASS Statement in PROC LOGISTIC Michelle L. Pritchard,
David J. Pasta		 source 9
SUGI 2004 Mixed Model Influence Diagnostics Oliver Schabenberger source 18
SUGI 2004 On the Use of PROC MIXED to Estimate Correlation in the Presence of Repeated Measures Anthony C. Hamlett,
Louise Ryan,
Russell D. Wolfinger		 source 8
SUGI 2004 Repeated Measures Modeling with PROC MIXED E. Barry Moser source 20
SUGI 2004 Some Statistical Strategies for Analyzing Confirmatory Studies Involving One or More Occurrences of Primary Events Gary G. Koch,
Maura E. Stokes		 source 21
WUSS 2003 Cox Regression Using Different Time-Scales Alison J. Canchola,
Susan L. Stewart,
Leslie Bernstein,
Dee W. West,
Ronald K. Ross,
Dennis Deapen,
Richard Pinder,
Peggy Reynolds,
William Wright,
Hoda Anton-Culver,
David Peel,
Al Ziogas		 source 6
SCSUG 2003 Using ODS With PROC UNIVARIATE (Poster) Rebecca G. Frederick 11
SESUG 2003 Methods of Dealing with Values Below the Limit of Detection using SAS Carry W. Croghan,
Peter P. Egeghy		 source 5
NESUG 2003 Air Quality Monitoring: A Robust Heteroscedastic Statistic for Testing the Equality of Transformed Pollutant Means Ling Huang,
Paul W. Johnson		 7
SEUGI 2003 Customer Insight development in Vodafone Italy [presentation] Emanuele Baruffa source 23
SEUGI 2003 SAS Marketing Optimization [presentation] Neil Hayward source 28
SEUGI 2003 The real impact of intelligent fraud prevention at Standard Bank [presentation] George Daminov source 23
VIEWS 2003 Understanding Customer Behaviour through the Extraction, Analysis, Reporting and Modelling of Customer Data. Andy Twaits presentation 3
PharmaSUG 2003 Likelihood Approach in Estimation and Testing Problems Involving Grouped Data Daniel Bonzo,
InfoVision Consultants		 8
PharmaSUG 2003 Using Model Fitting Information and PROC PLOT to Select the Type of Variance-Covariance Structure for Repeated Measures Radhi Abdulnabi 8
PharmaSUG 2003 Using SAS software for Multilevel Models in Survival Analysis Gisela Tunes da Silva 4
SUGI 2003 A SAS/IML Program for Mapping QTL in Line Crosses Chenwu Xu,
Shizhong Xu		 source 6
SUGI 2003 An Introduction to the Analysis of Mixed Models Dallas E. Johnson source 4
SUGI 2003 Cutpoint Determination Methods in Survival Analysis Using SAS Jayawant N. Mandrekar,
Sumithra J. Mandrekar,
Stephen S. Cha		 source 5
SUGI 2003 Estimation of Prevalence Ratios When PROC GENMOD Does Not Converge James A. Deddens,
Martin R. Petersen,
Xiudong Lei		 source 6
SUGI 2003 Modeling Customer Lifetime Value Using Survival Analysis - An Application in the Telecommunications Industry Junxiang Lu source 6
SUGI 2003 Multistage Cross-Sell Model of Employers in the Financial Industry Kwan Park,
Steve Donohue		 source 5
SUGI 2003 SAS Macros and Tools for Working with Weighted Logistic Regression Models That Use Survey Data David Izrael,
Annabella A. Battaglia,
David C. Hoaglin,
Michael P. Battaglia		 source 10
SUGI 2003 Smoothing with SAS PROC MIXED Alexander Pedan source 5
SUGI 2003 STEPWISE Methods in Using SAS PROC LOGISTIC and SAS Enterprise MinerTM for Prediction Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain		 source 6
SUGI 2003 Survival Analysis Using Cox Proportional Hazards Modeling for Single and Multiple Event Time Data Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 8
MWSUG 2002 Random Coefficient Model for Hazard Analysis Critical Control Points (HACCP) A Pilot Study Xinpeng (Tom) Wang,
Yating Sun,
Julie Caswell		 3
MWSUG 2002 Random, Repeated or Both? Analyzing a Repeated Measures Design using PROC MIXED Keith Dunnigan 7
MWSUG 2002 Repeat Purchas Factor - Applied Analytic to Understand and Manage Repeat Purchase in Information Driven Markets Kishore Nath 7
MWSUG 2002 Using Model Fitting Information and PROC PLOT to Select the Type of Varianc-Covariance Structur Radhi Abdulnabi 7
NESUG 2002 Estimating Confidence Intervals Around Relative Changes in Outcomes in Segmented Regression Analyses of Time Series Data Fang Zhang,
Anita Wagner,
Stephen B. Soumerai,
Dennis Ross-Degnan		 7
NESUG 2002 One More Time About R2 Measures of Fit in Logistic Regression Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain		 6
NESUG 2002 Using the LOGISTIC Procedure to Model Responses to Financial Services Direct Marketing David Marsh 6
SESUG 2002 Analysis of Dosage-Response Data in Agricultural Research K. Bondari source 6
WUSS 2002 Doing More with Proce FREQ Using Options and ODS Richard Severino source 13
WUSS 2002 Imputation Strategies for Sexual Orientation Using SAS PROC MI Jesse Albert Canchola,
Joe Catania,
Torsten Neilands		 source 6
SEUGI 2002 How to maximize the effectiveness of 2000 salesmen [presentation] Antonello Mana,
Elena Delapiano,
Giorgio Rivero		 source 24
PharmaSUG 2002 Bayesian Analysis of Population Bioequivalence Using the Independence Chain Algorithm in PROC MIXED Chain Algorithm 6
PharmaSUG 2002 Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure Anthony B. An 10
SUGI 2002 How to Use SAS for Logistic Regression with Correlated Data Oliver Kuss source 5
SUGI 2002 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson source 7
SUGI 2002 Performing Logistic Regression on Survey Data with the New SURVEYLOGISTIC Procedure Anthony B. An source 9
SUGI 2002 Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS Junxiang Lu source 6
MWSUG 2001 Using The SAS Mixed Procedure to Analyze the Repeated Measures Data Hongsen Zhou 9
NESUG 2001 Applying Categorical Data Analysis to Multi-way Contingency Table-Location, Accident Type, and Related Factors With Severity. Li wan Chen 10
VIEWS 2001 A Conjoint-based Choice Modelling Approach Using the PHREG Procedure to Evaluate the Importance of Fisheries Management Objectives Premachandra Wattage,
Simon Mardle,
Sean Pascoe		 14
WUSS 2001 A Survival Analysis from the Ground Up, Using Cox Proportional Hazards Modeling Tyler C. Smith,
Besa Smith,
Margaret A. K. Ryan		 source 8
WUSS 2001 Estimating and Interpreting Ordered Regression Models using PROC PRINT Kenneth Fernandez source 5
SESUG 2001 Ideas on Variable Selection and Alternative Links in Procedure CATMOD Kimberly Hughes DeJarnatt,
John Brown,
Siloam Springs		 source 4
SESUG 2001 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson source 7
SCSUG 2001 Ideas on Variable Selection and Alternative Links in Procedure CATMOD Kimberly DeJarnatt,
James E. Dunn		 4
SCSUG 2001 Individual Growth Analysis Using PROC MIXED Maribeth H. Johnson 7
SCSUG 2001 Using the SAS System to Estimate Sample Size Requirements for Small Sample Confidence Intervals Jim Penny 5
SCSUG 2001 Using the SAS System to Study the Gender and Level Measurement Equivalence of a Multi-rater Survey Jim Penny 6
PharmaSUG 2001 An Application of Continual Reassessment Method Using SAS System Naoki Ishizuka 4
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
SUGI 2001 Approximations to Distributions of Test Statistics in Complex Mixed Linear Models Using SAS PROC MIXED G. Bruce Schaalje source 6
SUGI 2001 Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS Tyler C. Smith,
Besa Smith		 source 9
SUGI 2001 Techniques for Detection of Cheating on Standardized Tests Using SAS Sean W. Mulvenon,
Ronna C. Turner		 source 6
SCSUG 2000 Multi-Level Intervention Study Data and PROC MIXED Tom Bohman 13
SESUG 2000 Performing Exact Logistic Regression with the SAS R /AD System Robert E. Derr source 10
SESUG 2000 Underlying Construct Analysis (UCA): Where Individual Systems End and Human Systems Begin Alvin L. Killough source 8
NESUG 2000 Confirmatory and Exploratory Data Analyses Using PROC GENMOD: Factors Associated with Red Light Running Crashes Li wan Chen 7
NESUG 2000 How to Be a Bayesian in SAS: Model Selection Uncertainty in PROC LOGISTIC and PROC GENMOD Ernest S. Shtatland 9
NESUG 2000 Think Outside the Box: Analysis of Categorical Data Margaret Ann Goetz 5
WUSS 2000 Analyzing Correlated oridinal reponse data using partial likelihood regression Jimmy Thomas Efrid source 3
WUSS 2000 Analyzing Multiple Health Outcomes Using the SAS System's PROC CATMOD Besa Smith source 5
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
SEUGI 2000 Enhance SAP step-by-step with Customer Relationship Management Functionality [presentation] Patrick Schünemann source 21
SEUGI 2000 Skaen but not stirred - Why I like NLMIXED [presentation] Tim Auton source 38
PharmaSUG 2000 Mixed Models Analysis Using JMP Software 4.0 George A. Milliken 6
SUGI 2000 Correcting for Missing Discrete Responses in Business Surveys Lawrence C. Marsh source 10
SUGI 2000 Mixed-Up Mixed Models: Things That Look Like They Should Work But Don't, and Things That Look Like They Shouldn't Work But Do Robert M. Hamer,
Pippa M. Simpson		 source 8
SUGI 2000 Modeling Longitudinal Growth Data and Growth Percentiles with Polynomial Gompertz Model in SAS Software Inna Perevozskaya,
Olga M. Kuznetsova		 source 6
SUGI 2000 Performing Exact Logistic Regression with the SAS System Bob Derr source 10
SUGI 2000 PROC FREQ: It's More Than Counts Richard Severino source 10
SUGI 2000 Qualitative and Limited Dependent Variable Models using the New QLIM Procedure Minbo Kim source 7
SUGI 2000 Why We Need an R-Square Measure of Fit (and Not Only One) In PROC LOGISTIC and PROC GENMOD Ernest S. Shtatland,
Sara L. Moore,
Mary B. Barton		 source 6
SESUG 1999 Analysis of Longitudinal Data: Comparison between PROC GLM and PROC MIXED Maribeth H. Johnson source 6
SESUG 1999 Providing Web-Based Support for SAS Users at NC State University Joy Munk Smith source 6
WUSS 1999 Application of Threshold Models to the Detection of IgG and IgM Antibodies Louis Munyakazi source 4
WUSS 1999 Polychotomous Logistic Regression and the Creation of Odds Ratios and Confidence Intervals Using the SAS PROC CATMOD Besa Nushi source 5
NESUG 1999 Considerations for Creating and Maintaining A SAS-Oriented Home Page Robert Schechter 5
NESUG 1999 Fitting Nonlinear Mixed Models with the New NLMIXED Procedure Russell D. Wolfinger 10
NESUG 1999 Input Selection, Performance Evaluation, and Credit Risk Analysis Shirley Tsai,
David Hamilton		 10
NESUG 1999 The Detection and Correction of Sample Selection Bias in Patient Satisfaction Surveys: A Two-Step Application of PROC PROBIT Guy Pascale,
Howard Peters		 10
NESUG 1999 The missing link: PROC GENMOD Margaret Ann Goetz 3
MWSUG 1999 Longitudinal Data Analysis Repeated-Measure ANOVA and Mixed Models Nancy E. Briggs,
Ching-Fan Sheu		 6
MWSUG 1999 Using PROC MIXED in Hierarchical Linear Models: Examples from two- and three-level school-effect analysis, and meta-analysis research Sawako Suzuki,
Ching-Fan Sheu		 8
SEUGI 1999 SAS procedures for the estimation of quality test methods in test laboratories [presentation] Celine Bensoussan source 29
SEUGI 1999 Using SAS/IML to fit embedded models to accelerated life test data Alan John Watkins,
Richard E. Johnson		 source 7
SUGI 1999 A SAS Macro to Analyze Data from a Matched or Finely Stratified Case-Control Design Robert A. Vierkant,
Terry M. Therneau,
Jon L. Kosanke,
James M. Naessens		 source 6
SUGI 1999 Behind Marketing Data Flavio Addolorato,
Silvia Pacei		 source 6
SUGI 1999 Fitting a Multisource Regression Model with Random Slopes, A Fisheries Application of SAS PROC MIXED Robert G. Downer,
Mark C. Benfield		 source 5
SUGI 1999 Fitting Nonlinear Mixed Models with the New NLMIXED Procedure Russell D. Wolfinger source 10
SUGI 1999 Modeling Event Count Data with PROC GENMOD and the SAS System Matthew J. Flynn source 6
SUGI 1999 Simplification on Learning Model by Using PROC GENMOD Kuolung Hu,
David Mckinzie,
Karen Nowak		 source 6
SUGI 1999 Simulation and Estimation of Fractionally Integrated Time Series Jeffrey S. Butler source 6
SUGI 1999 Using SAS Macros to Develop Confidence Intervals for the Weibull and Extreme Value Distributions Using Type II Censored Data Scott M. Jordan,
Muhammad Zaman		 source 6
MWSUG 1998 A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis Ralph G. O'Brien 11
MWSUG 1998 An Introduction to Binary Logistic Regression Linda M. Quinn 8
MWSUG 1998 Building a GUI to a Sample Size Program using FRAME Brian Mitchell 3
MWSUG 1998 Using PROC MIXED To Analyze a Repeated Measures Design Keith Dunnigan 6
WUSS 1998 Data Warehouses and Bayesian Analysis - A Match Made by SAS Ram Gopalan source 6
WUSS 1998 Investigating the Performance of Model Selection Information Criteria Using SAS/IML and SAS/MACRO Long Ngo source 6
NESUG 1998 A Simulation Study of Estimators In Stratified Proportional Hazard Models Hsi-Wen Liao 8
NESUG 1998 A Smart Guide to Dummy Variables: Four Applications and a Macro Susan B. Garavaglia 10
NESUG 1998 Considerations for Creating and Maintaining A SAS-Oriented Home Page Robert Schechter 6
NESUG 1998 Information Theory Makes Logistic Regression Special Ernest S. Shtatland 4
NESUG 1998 Multivariate Discrimination of Categorical Data Using the SAS System Jeffrey S. Butler 8
NESUG 1998 Risk Evaluation after Heart Valve Replacement by PROC PHREG Choa Chen 7
SESUG 1998 An Applicatio.n of Cluster Analysis in the Financial Services Industry Satrsh Nargundkar,
Strategic Decision		 6
SESUG 1998 Beyond Factor Analysis: Can the Results Be Validated? Rachel J. Goldberg 6
SESUG 1998 Modern Psychometric Theory: Using SAS to Calculate IRT Ability Estimates Jeffrey D. Kromrey,
Cynthia G. Parshall,
Walter M. Chason,
Qing Yi		 5
SESUG 1998 Software for GEE: PROC GENMOD and SUDAAN Babubhai V. Shah 5
SESUG 1998 The Effect of Missing Data on Repeated Measures Models Maribeth H. Johnson 5
PNWSUG 1998 Stepwise Anything: Reading in Regression Procedure Output for Further Testing Ted Clay,
Linda Remy		 10
SEUGI 1998 A SAS/IML algorithm for maximum likelihood estimation in the Three Parameter Burr XII Distribution Alan John Watkins source 7
SEUGI 1998 Complementary use of log-linear modelling and correspondence analysis in SAS software Jon Paul Laka,
Izaskun Astondoa		 source 18
SEUGI 1998 Survival analysis models in health care and their use for predictions of mortality Jifi Vondracek,
Keith Binks,
Krystof Eben		 source 6
PharmaSUG 1998 A SAS/Frames Application to Estimate Sample Size and Power for Clinical Trials Brian Mitchell 4
SUGI 1998 A Tour of UnifyPow: A SAS Module/Macro for Sample-Size Analysis Ralph G. O'Brien source 10
SUGI 1998 An Information-Gain Measure of Fit in PROC LOGISTIC Ernest S. Shtatland,
Mary B. Barton		 source 6
SUGI 1998 Multivariable Cox Proportional Hazard Model by SAS PHREG &Validation by Bootstrapping Using SAS Randomizers With Applications Involving Electrocardiology and Organ T ransplants Sudhanshu K. Ghoshal source 6
SUGI 1998 Multivariate Analysis Using the MIXED Procedure S. Paul Wright source 5
SUGI 1998 Overall Part Number Item Rank Rank source 19
SUGI 1998 Statistical Process Monitoring of Correlated Binary and Count Data Using Mixture Distributions Jose G. Ramirez,
Brenda S. Cantell,
Randall S. Collica		 source 7
SUGI 1998 The Effect of Missing Data on Sample Sizes for Repeated Measures Models Maribeth H. Johnson,
Peter P. Davis		 source 5
SCSUG 1997 Reliability Data Analysis in the SAS System Gordon Johnston 10
SCSUG 1997 The Use of PROC ARIMA to Test An Intervention Effect Neil S. Fleming,
Eric Gibson,
David G. Fleming		 8
PNWSUG 1997 Qualitative Choice Models Donald M. Perry 2
WUSS 1997 Analysis of Designed Experiments Using SAS PROC GENMOD Douglas C. Montgomery,
Connie M. Borror,
Sharon L. Lewis		 source 6
WUSS 1997 Critical Success Factors in Software Development Arnold Goodman source 2
WUSS 1997 Cross-Validation Estimates of the Prediction Error in a Random-Coefficients Mixed Model Used to Estimate Emissions from On-Road Motor Vehicles using SAS Steven Brisby source 5
WUSS 1997 Logistic Regression Modeling in Complex Surveys: Examples Using LOGITSE SAS Macro Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 10
WUSS 1997 Reliability Data Analysis in the SAS System Donna O. Fulenwider,
Gordon Johnson		 source 10
NESUG 1997 Bootstrapped Confidence Intervals for Parametric Estimates of Survival Distribution Function Vadim Pliner 8
NESUG 1997 Estimation of Sample Selection Models with SAS/IML Software Charles B. Hallahan 9
NESUG 1997 FREQ-OUT: An Applied Presentation of the Options and Output of the FREQ Procedure Pamela Landsman 6
NESUG 1997 Information as a Unifying Measure of Fit in SAS Statistical Modeling Procedures Ernest S. Shtatland 7
NESUG 1997 Nonlinear Mixed Effects Models, a tool for analyzing repeated-measurements data whose function is nonlinear in the parameters. Suzette Blanchard 7
NESUG 1997 Using Logistic Regression to Test for Interaction in the Presence of Zero Cells Lisa Suchower 10
MWSUG 1997 Enhancing the Output from PROC LOGISTIC Bharat K. Thakkar,
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski		 6
MWSUG 1997 Reliability Data Analysis in the SAS System Gordon Johnston 10
SESUG 1997 Analysis of Repeated Measures and Longitudinal Data Jane Pendergast 8
SESUG 1997 Modeling Higher Education Processes with Multiple Logistic Regression: SAS Examples Daniel Teodorescu 5
SESUG 1997 The Case of the Missing Data Maribeth H. Johnson,
Mark S. Litaker		 6
SEUGI 1997 Investigating likelihoods for lifetime distribution using SAS software Alan John Watkins source 6
SEUGI 1997 Modelling of road deterioration including lifetime distribution and the Cox model Emmanuel Courilleau source 11
SEUGI 1997 Weighted Poisson Analysis à la Goodman using SAS software Rian Vogelesang source 14
SUGI 1997 Developing Risk Adjustment Techniques Using the SAS System for Assessing Health Care Quality in the IMSystem Yanchun Xu,
Andrius Kubilius		 source 5
SUGI 1997 Enhancing the Output from PROC LOGISTIC Bharat K. Thakkar,
Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski		 source 6
SUGI 1997 Estimation via EM-Algorithm in a Bivariate Random Effects Model Amrik Shah,
Kirk A. Easley		 source 8
SUGI 1997 LOGITSE: A SAS Macro for Logistic Regression Modeling in Complex Surveys Jesse Albert Canchola,
Brian D. Marx,
Joseph A. Catania		 source 6
SUGI 1997 Model Selection in Linear Mixed Effects Models Using SAS PROC MIXED Long Ngo,
Richard Brand		 source 6
SUGI 1997 Net Impact Analysis for Program Evaluation, Modeling and SAS Programming Boqing Wang source 6
SUGI 1997 SAS/INSIGHT Software or JMP Software: A Comparison Andy Mauromoustakos source 3
SUGI 1997 The Tobit Model: An Example of Maximum Likelihood Estimation with SAS/IML Charles B. Hallahan source 6
SUGI 1997 UnifyPow: A SAS Macro for Sample-Size Analysis Ralph G. O'Brien source 6
SUGI 1997 Use of PROC MIXED in the Analysis of Repeated Measures Data from a Clinical Trial in Obsessive Compulsive Disorder William Bushnell,
Martin Steiner		 source 6
SUGI 1997 Using Higher Order Asymptotics to Improve P-values and Confidence Intervals Given by PROC MIXED Ben Lyons,
Dawn Peters		 source 5
SUGI 1997 Using SAS Software to Catch White Collar Criminals: A Collusion Detection System Susan L. Schwartz,
Randy Lawton		 source 7
SCSUG 1996 Fishing for Exactness Ted Pedersen 13
SESUG 1996 Generalized Linear Models (Logistic Regression), a Comparison of Available Options and Output from the Catmod, Probit, Logistic, and Genmod Procedures Margaret A. Connolly 6
SESUG 1996 Quasicomplete Separation in Logistic Regression: A Medical Example Madeline J. Boyle 6
SESUG 1996 sl4tistia Dale Preston 7
NESUG 1996 Maximum Likelihood Estimation with SAS/IML Charles B. Hallahan 7
MWSUG 1996 Detecting Changes in Mean of Correlated Data Tze-San Lee,
Lei Zhang		 4
WUSS 1996 Logistic Regression: From SAS Coding to Statistical Interpretation Elizabeth Li source 9
WUSS 1996 Repeated Measures Analysis with the SAS System Kathleen Kierman source 10
WUSS 1996 SAS PROC MIXED to Fit Growth Curve Models: Application to a Longitudinal Group Randomization Study Biao Wm. Lu,
Sandra Wilson,
David Latini,
David Dayton		 source 6
PNWSUG 1996 Net Impact for Program Evaluation Modeling and SAS Programming Boqing Wang 18
SEUGI 1996 A method for identifying cut-off points in clinical investigations Eoin O'Brien,
Neil Atkins		 source 10
SEUGI 1996 Backtesting or backestimating: an overview Gerhard Stahl source 7
SEUGI 1996 Computational Changes in the Analysis of Data from Case-Control Studies Anette Pfahlberg,
Olaf Gefeller		 source 9
SEUGI 1996 Diagnostics and estimation procedures of quantitative dose response relationships using SAS ... Hans-Peter Altenburg source 8
SEUGI 1996 Using the SAS system to fit the BURR XII distribution to lifetime data Alan John Watkins source 8
SUGI 1996 A Plan to Implement the LlMU Model by a Slight Modification of the Current MIXED Procedure Mark X. Norleans source 5
SUGI 1996 A SAS Program for the Assessment of Unbalanced Data in Two- Sequence, Three-Period CrossoverTrials Annpey Pong,
Shein-Chung Chow		 source 6
SUGI 1996 Analysis of Unbalanced Mixed Model Data Ramon C. Littell source 6
SUGI 1996 Estimating and Evaluating Correlation Structures in Repeated Measures Designs Using the GLM and MIXED Procedures Maribeth H. Johnson,
Tom Baranowski		 source 5
SUGI 1996 Estimating Optimal Transformations in Non-Linear Models Nicholas Scott Cardell,
Dan Steinberg		 source 6
SUGI 1996 Imputation of Data Missing Due to Truncation --- A SAS Macro for Maximum Likelihood Estimates Using Symmetry Property Zhengyu Wang,
ViswanaThan Ramakrishnan,
John M. Davis		 source 6
SUGI 1996 Repeated Measures Analysis with Discrete Data Using the SAS System Gordon Johnston source 5
SUGI 1996 Teaching the SAS System as an Academic Subject Andrew H. Karp source
SUGI 1996 Test of Hypotheses in Repeated Measures Models Under General Antedependence Covariance Structures in SAS Software Raul E. Macchiavelli,
E. Barry Moser		 source 4
SUGI 1996 Using PROC ARIMA to Test an Intervention Effect Neil S. Fleming,
Eric Gibson,
David G. Fleming		 source 10
SUGI 1996 Using SAS Software to Assess and Adjust for Nonlinearity in Nonlinear RegreSSion Models Timothy E. O'Brien,
Ye Wang		 source 10
SUGI 1996 Using the SAS System to Detect Differential Item Functioning James A. Penny source 6
MWSUG 1995 An Introduction to Binary Logistic Regression Linda M. Quinn 8
MWSUG 1995 Applications of PROC PHREG Enhancements in Version 6.10 Ying C. So 9
MWSUG 1995 Discussion of the Comparison of GLM and MIXED Procedures for a Repeated Measures Design: One Within and One Between Subjects Factor Michelle Secic 6
NESUG 1995 A Survey of Capability Invoices Dennis W. King 11
NESUG 1995 Estimation of Nonlinear Models: A Computational Review D. Das Purkayastha 8
NESUG 1995 More on PROC PHREG: Conditional Logistic Regression (or Should We Do Another Study..?) Peter P. Gaccione 10
NESUG 1995 Practical Consdierations in Estimating Linear Dose Response From A Phase I/II Titration Study With Subjects As Random Effects Virginia Fitzpatrick,
Ruth Swithenbank		 7
SESUG 1995 New Age Marketing: Past Life Regression versus Logistic Regression C. Olivia Parr Rud 9
SEUGI 1995 A Survival Analysis on Critical Components of Nuclear Power Plants Valerie Durbec source 9
SEUGI 1995 Model Building for the Cox Proportional Hazards Model with the SAS System Richard Vonk source 12
SEUGI 1995 Regional Econometric Modeling An Application of SAS/IML Software Jorgen Lauridsen source 20
SEUGI 1995 The Analysis of Cross-Over Study with Repeated Measures within PEriods by Using Different Covariance Structures Juhani Tuominen,
Sanna Hinkka		 source 12
SEUGI 1995 The Implementation of a Data-Driven Selection Procedure for the Smoothing Parameter in Nonparametric Estimation Using SAS/IML Software Olaf Gefeller source 13
SEUGI 1995 Using the SAS System in the Development of Frameworks for the Analysis of Accelerated Life Testing Experiments Alan John Watkins source 10
SUGI 1995 A Primer on Poisson Regression using SAS/STAT Software Methods and Interpretation of Results Richard McNally source 4
SUGI 1995 An Introduction to JMP Software, Release 3.1, SAS Institute's Statistical Visualization Software for Both Macintosh and Windows William R. Gjertsen source 7
SUGI 1995 Bartlett Correction of Binomial Regression Analyses of Small Samples Lawrence Moulton,
Roy St. Laurent,
Lisa Weissfeld		 source 5
SUGI 1995 Batch Processing in SAS/INSIGHT Software Heman Robinson source 8
SUGI 1995 Calculating Confidence Intervals on Proportions of Variability Using the VARCOMP and IML Procedures Annette M. Green,
David Umbach		 source 6
SUGI 1995 Comparing the SAS GLM and MIXED Procedures for Repeated Measures Ming Chang,
Russell D. Wolfinger		 source 11
SUGI 1995 Conducting Linear Growth Curve Analysis with the SAS System Laura Ichikawa,
William E. Barlow		 source 6
SUGI 1995 Interactive Visualization and Statistical Interpretation of Market Share, Competitive Price, Stock and Mortgage Loan Data Using JMP 3.1 James Daughtry,
Jonathan Pinder,
Edwin Tang,
William R. Gjertsen		 source 14
SUGI 1995 Karnaugh Maps, Interaction Effects and Creating Composite Dummy Variables for Regression Analysis in SAS Software Lawrence C. Marsh,
Karin Wells		 source 10
SUGI 1995 Maximum Likelihood Estimation with PROC NLP and SAS IML Software Wolfgang Hartmann,
James J. Ashton		 source 7
WUSS 1994 A Matrix Approach to Log-Linear Data Analysis Using SAS/IML Paul W. Johnson source 3
WUSS 1994 Experimental Design and Survey Sampling Methods Using the SAS Macro Utility Paul W. Johnson source 7
NESUG 1994 How to Survive PROC LIFETEST Peter P. Gaccione 10
NESUG 1994 PROC LOGISTIC: A Form of Regression Analysis Edith Flaster 3
NESUG 1994 Using SAS/IML to Account for Spatial Dependence in Regression Models Charles B. Hallahan 8
SEUGI 1994 Practical Aspects of Modelling Techniques in Logistic Regression Procedures of the SAS System Josef Hogel source 6
SEUGI 1994 The Analysis of Data from Case-control Studies Which Statistical Methods and Software Products are Used Olaf Gefeller source 9
SUGI 1994 A Comparison of the GLM, IML, and MIXED Procedures for Use in Spatial Statistical Analyses William J. Price,
Bahman Shafii		 source 6
SUGI 1994 Accelerating Maximum Likelihood Classification: An IML Application Cecil R. Hallum,
D. Mark Carpenter		 source 4
SUGI 1994 Computing Case Diagnostics for Structural Equation Models Noel G. Cadigan source 5
SUGI 1994 Estimating Spatial Regression Models with SAS/IML Charles B. Hallahan source 5
SUGI 1994 Interpreting Complex Nonlinear Models Lawrence C. Marsh,
Maureen A. McGlynn,
Debopam Chakraborty		 source 5
SUGI 1994 Interval-Censored Survival Data Ying C. So source 7
SUGI 1994 Log Negative Binomial Regression Using the GENMOD Procedure SAS/STAT Software Joseph M. Hilbe source 6
SUGI 1994 Mixed Model Analysis of Data: Transition from GLM to MIXED Ramon C. Littell source 8
SUGI 1994 Neural Networks and Statistical Models Warren S. Sarle source 13
SUGI 1994 Nonlinear Regression Analysis and Nonlinear Simulation Models Donald Erdman,
Mark Little		 source 9
SUGI 1994 Small-Sample Inference in SAS Software: Using Exact Methods Cyrus R. Mehta source 9
NESUG 1993 Interfacing StatXact and SAS for Exact Tests Cyrus R. Mehta,
David C. Schlotzhauer		 9
SCSUG 1993 Survival Analysis with SAS LIFETEST and PHREG Procedures Zhongmin Li 10
MWSUG 1993 Common Industrial Applications of Mixed Models Bob Obenchain 10
MWSUG 1993 Designing Bank Warning System Based on Logit Model Fitted to Multi-Period Performance Data Sameer Kumar,
Sant R. Arora		 10
MWSUG 1993 Graphical Methods for Categorical Data Michael Friendly 7
SEUGI 1993 A New Look at the Facilities in PROC MIXED James L. Roger source 12
SEUGI 1993 EEG Multi-variate Traces Analysed Using PROC MIXED Tracy Parker source 10
SEUGI 1993 Generalised Linear Model and Correspondence Analysis. Application to the Goitre Problem in Mali Michel Tenehaus source 28
SEUGI 1993 The Analysis of Repeated Measures Designs Using the SAS System Alun Bedding source 9
SUGI 1993 A SAS Macro Procedure to Summarize the Output of Logistic Regression Models Benjamin I. Broder,
Chih-Ping Chou		 source 6
SUGI 1993 A Tutorial on Logistic Regression Ying C. So source 6
SUGI 1993 Application of Conditional Logistic Regression Methods to Event History and Multiple-Choice Data Dan Steinberg source 4
SUGI 1993 Bayesian Statistics in SAS Software William J. Raynor Jr. source 10
SUGI 1993 Estimating Neural Network Nonparametric Production Functions Using SAS Software Daric L. Brummet,
Lawrence C. Marsh		 source 5
SUGI 1993 Likelihood Ratio Tests for Regression Coefficients from the Cox Proportional Hazards Model Using the PHREG Procedure Laurent M. Kassalow source 6
SUGI 1993 Model Estimation with Inequality Constraints: A Bayesian Approach Using SAS/IMLSoftware Charles B. Hallahan source 7
SUGI 1993 SAS Software to Fit the Generalized Linear Model Gordon Johnston source 8
SESUG 1993 Repeated Measures Using PROC MIXED Instead of PROC GLM James H. Roger,
Michael Kenward		 10
SESUG 1993 Using SAS to Analyze Health Status in Insurance Claims Richard N. Lieberman 10
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 The Use of PROC ARIMA to Perform Time-Series Intervention Analysis of the Impact of the Texas 1989 Motorcycle Helmet Law on Total and Head-Related Fatalities Neil S. Fleming 21
NESUG 1992 An In-Depth Look at the PHREG Procedures Peter P. Gaccione 9
NESUG 1992 Principles of Logistic Regression in Radiation Oncology J. Efird,
F. Pardo,
P. Okunieff,
D. Shoenfeld,
H. Aronen		 10
SEUGI 1992 Effects of Using the NOINT Option in Various Regression Procedures of SAS/STAT Software Rainer Muche source 10
SEUGI 1992 Output Delivery System Thomas J. R. Emmerich source 8
SEUGI 1992 Using SAS Macros and PROC IML to Create Special Designs for Use in Generalised Linear Models John Hendrickx source 22
SEUGI 1992 Utilising SAS/SHARE Software in Release 6.07 John Dalton source 11
SUGI 1992 A Bootstrap Evaluation of the EM Algorithm for Censored Survival Data George W. Pasdirtz source 6
SUGI 1992 A SAS Macro for Performing Analyses of Random Effect Models of Longitudinal Data Using the IML Procedure Greg A. Grandits,
Patricia Grambsch,
Thomas Louis		 source 6
SUGI 1992 A Simulation Study of Estimators for Rates of Changes in Longitudinal Studies with Attrition Fong Wang,
Mary Lange		 source 6
SUGI 1992 Analyzing Business and Economics Data with SAS/ETS Software Mark Little source 9
SUGI 1992 Extending the SAS System's Statistical Capabilities with SAS/IML Software Charles B. Hallahan source 10
SUGI 1992 Future Directions in Working with Procedure Output Christopher R. Olinger,
Robert S. Ray		 source 8
SUGI 1992 Graphical Aids for Summarizing Inferential Results of Nonlinear Regression William J. Price,
Bahman Shafii		 source 6
SUGI 1992 Graphical Methods for Categorical Data Michael Friendly source 7
SUGI 1992 Model Selection for Uncensored Lifetime Data Using SAS/IML Software Sutaip L. C. Saw source 5
SUGI 1992 Multivariate Inequality Hypostheses Using SAS/IML Software Dan Jacobs,
Estelle Russek-Cohen		 source 4
SUGI 1992 Proportional Hazards Analysis of Left-truncated Survival Data Dennis Heisey source 6
SUGI 1992 Small Area Analysis of Hospitalization Rates Using SAS Software Larry J. Walter,
Bruce H. Fireman		 source 6
SUGI 1992 Using the CATMOD Procedure to Estimate Linkage between Pairs of Gene Loci from Offspring of Selfed Heterozygotes Kent M. Eskridge,
William Compton,
Lomas Tulsieram		 source 6
SCSUG 1991 Considerations for a SAS 6.06 AF/FSP and DB2 Application Kent Andrew Spencer 3
SCSUG 1991 PROC CORRESP: Different Perspective for Nominal Analysis Richard W. Cole 8
MWSUG 1991 Boostrapping the Kaplan-Meier Difference Equation George W. Pasdirtz 6
SEUGI 1991 An Example of the Use of Historical Information in the Analysis of Pharmaceutical Screening Trials Egbert Biesheuvel,
R. A. J. Wixley		 source 9
SEUGI 1991 Attributable Risk Estimation Using SAS/STAT Software Olaf Gefellar source 8
SEUGI 1991 Future Directions of Statistical Software with the SAS System David M. DeLong source 20
SUGI 1991 A Macro For Principal Component Logistic Regression Brian D. Marx source 6
SUGI 1991 A SAS Procedure for Outlier Detection in Bioavailability/ Bioequivalence Studies Jyh-Shiun Lin,
Shein-Chung Chow,
Siu-Keung Tse		 source 5
SUGI 1991 About JMP 2.0 John P. Sall,
Katherine Ng,
Michael Hecht,
Ann Lehman		 source 6
SUGI 1991 Analysis of Sparse Repeated Categorical Measurement Data Alan Agresti,
Stuart Lipsitz,
Joseph B. Lang		 source 9
SUGI 1991 Competing Risk Multi-Spell Survival Analysis: The CTM Procedure Dan Steinberg source 6
SUGI 1991 Mixed Models: A Future Direction Russell D. Wolfinger,
Randall D. Tobias,
John P. Sall		 source 9
SUGI 1991 Screen Control Language Programming Techniques for Concurrently Accessed Data Mike Carney source 9
SUGI 1991 Using the IML Procedure for Iteratively Reweighted Multiple Linear Regression with a Block-diagonal Covariance Matrix Donald H. MacQueen source 5
NESUG 1990 Exact Nonparametric Inference: Theory, Applciations and Software Cyrus R. Mehta 16
MWSUG 1990 Monte Carlo Analysis of Change Scores David J. Mangen 14
SEUGI 1990 Prediciting and Understanding Steam Generator Tubes Lifetime Using SAS Software Survival Procedures P. Pittner,
T. Riffard		 source 8
SEUGI 1990 Stratified Random Sampling from Finite Distribution for Continous Variables Karl Bousek source 13
SUGI 1990 A SAS Macro for the Box-Cox Transformation: Estimation and Testing Charles B. Hallahan source 6
SUGI 1990 Analysis of Covariance: Repeated Measures and Split-Plot Designs Gilda P. Pareja source 5
SUGI 1990 Confidence Intervals and Curvature Measures in Nonlinear Regression Using the IML and NLIN Procedures in SAS Software Danny L. Kugler,
E. Henry Lee		 source 6
SUGI 1990 JMP Tutoria! John P. Sall source 8
SUGI 1990 Using Release 6.06 of the SAS System for Marketing Information Systems Mike Senger,
Richard Roach		 source 6
SUGI 1989 Dynamic Screen Generation Using Formats: The Case against Hard-Coding Louise Weiler source 5
SUGI 1989 Estimating Stochastic Coefficient Models with the SAS System Charles B. Hallahan source 6
SUGI 1989 Field Reliability Assessment Using the Proportional Hazards Model Stephen Freitas,
Raymond V. Spring		 source 5
SUGI 1989 Issues Related to Analyzing Repeated Measurement Data Ramon C. Littell,
Jane Pendergast		 source
SUGI 1989 Most Creative Use of the Software-Monochrome Leslie Worf source 116
SUGI 1989 Multivariate Models for the Analysis of Crossover Experiments Vernon M. Chinchilli,
Ronald K. Elswick		 source 5
SUGI 1989 Nonlinear Measurement Error Model Parameter Estimation Using the SAS System Daniel Schnell source 6
SUGI 1989 Outlier Selection in Non-11D Linear Models with Applications to Variance Components Thomas Gerig,
Gerardo I. Hurtado		 source 5
SUGI 1989 The PHGLM Procedure for Time-Dependent Covariates - and the Case-Cohort Design David Yu-Wu Pee,
Sholom Wacholder		 source 6
SUGI 1989 Unbalanced Factorial Data and Hypothesis Testing Robert E. Johnson source
SUGI 1989 Variance Component Analysis Ronald R. Hocking source 4
SUGI 1989 Weighted Multicollinearity Diagnostics for Logistic Regression Brian D. Marx,
Eric P. Smith		 source 6
SEUGI 1988 Confidence Regions for Non-Linear Regression Graham Healy source 8
SUGI 1988 A SAS Macro for Estimating the Error Rates of Two Diagnostic Tests, Neither Being a Gold Standard James J. Ashton,
Melvin Moeschberger		 source 2
SUGI 1988 A SAS/IML Software Macro for Testing Non-Nested Regression Models Laura L. Bauer,
Oral Capps Jr.,
Eric P. Smith		 source 6
SUGI 1988 Detection of Influential Observations in Logistic Regression Using the SAS System Charles S. Davis source 6
SUGI 1988 Estimating Logistic Regression Models When the Dependent Variable Has No Variance Nicholas Scott Cardell,
Dan Steinberg		 source 2
SUGI 1988 Estimation of Row and Column Scores in the Linear-by-Linear Model for Two-Way Ordinal Contingency Tables Charles S. Davis source 6
SUGI 1988 Partial Proportional Odds Models and the LOGIST Procedure Frank E. Harrell Jr.,
Bercedis L. Peterson		 source 5
SUGI 1988 Predicting Equipment Failure Using Weibull Analysis and SAS Software Bruce Kay,
Douglas E. Price		 source 6
SUGI 1988 Using SAS Software for Estimating the Probability of Being in Response Brenda W Gillespie,
Charles B. Scott		 source 5
SUGI 1988 Using the SAS System to Assess Local Influence in Regression Analysis with Censored Data Luis A. Escobar,
William Q. Meeker Jr.		 source 6
SUGI 1987 Interpretation and Diagnostics of the Multinomial Logistic Regression Dan Steinberg source 6
SUGI 1987 Maximum Likelihood Estimation and Simulation for One and Two Stage Sampling of Normal Mixtures Using SAS Software Kirby Jackson,
Wesley Kemmerlin		 source 4
SUGI 1987 Measures of Multivariate Skewness and Kurtosis Ronald Kalinoski,
NamJun Kang		 source 6
SUGI 1987 The Analysis of Survival Data with Concomitant Information using Parametric Models: PROC HAZARD and PROC HAZPRED Eugene H. Blackstone,
David C. Naftel		 source 6
SUGI 1987 Treatment of Lagged Dependent Regressors and Autocorrelated Errors in SAS/ETS Software Thomas B. Fomby,
Joseph G. Hirschberg		 source 6
SUGI 1987 Variance Component Estimation with the SAS System Ramon C. Littell,
Barbara G. McCutchan		 source 6
SEUGI 1986 Generalized Linear Models in SAS Using PROC GLM James Roger source 10
SEUGI 1986 Survival Analysis in the SAS System A Survey E. Meisinger,
M. Strauch,
N. Gretz		 source 8
SUGI 1986 Checking for Autocorrelation in Regression Residuals John C. Brocklebank,
David A. Dickey		 source 7
SUGI 1986 Development of an Expert System for DBMS Selection David A. Van Rossum source 6
SUGI 1986 Inference from the Incomplete Longitudinal Design: A Collection of SAS Macros James Rochon source 6
SUGI 1986 Maximum Likelihood Estimation for a Mixture of Larval Instars Richard L. Berg source 5
SUGI 1986 Programs for the GMANOVA and Extended GMANOVA Models Vernon M. Chinchilli,
Ronald K. Elswick		 source 8
SUGI 1986 Repeated Application of a Generalized Logistic Model To Count Data Using PROC MATRIX Linda Williams Pickle source 6
SUGI 1986 Spline Functions for Logistic Regression Modeling Thomas F. Devlin,
Barbara J. Weeks		 source 6
SUGI 1986 Using the SAS System to Perform Power Analyses for Log-Linear Models Ralph G. O'Brien source 7
SEUGI 1985 New Features of the SAS/ETS and SAS/OR Software in Version 5 John C. Brocklebank source 37
SEUGI 1985 The Nonparametric Tests in SURVTEST, COXREGR and PHGLM Jan Mulder source 7
SUGI 1985 A SAS Macro for Logistic Discrimination for Three or More Populations James E. Dunn,
Eileen C. King		 source 6
SUGI 1985 A SAS Procedure for Smoothing Generalized Linear Models William J. Raynor Jr. source 6
SUGI 1985 Analyzing Tables with Ordered Categories Ginger Caldwell,
John D. Smith		 source 6
SUGI 1985 Application of the SAS System to Regression Analysis of Tumor Prevalence Data Saeid B. Amini,
Debra L. Palka		 source 7
SUGI 1985 Applications in Bayesian Analysis Arnold Zellner source 7
SUGI 1985 Changes and Enhancements to SAS/ETSSoftware David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 12
SUGI 1985 Conditional Logistic Regression in SAS Software Gregg A. Drube,
Dale F. Kraemer,
Stephanie Van Lier		 source 7
SUGI 1985 Fitting Log-linear Models Using SAS Software Amy Ko,
W. J. Shih		 source 5
SUGI 1985 MACRO LGTREG for Logistic Regression and Associated Diagnostics Thomas F. Devlin,
Barbara J. Weeks		 source 6
SUGI 1985 PROC PECAN - A SAS Procedure Sivaram Kalyandrug,
Jay H. Lubin		 source 8
SUGI 1985 Repeated Measures in Nonlinear Models Ronald W. Helms,
Keith E. Muller		 source 5
SUGI 1985 Selecting Media for Self-paced Instruction Julie M. Brown,
Trudy D. Bruce		 source 8
SUGI 1985 Taking MDS Beyond Similarity Data J.O. Ramsay source 7
SUGI 1985 The Practical Value of Logistic Regression Frank E. Harrell Jr.,
Kerry L. Lee		 source 6
SUGI 1985 The Role of Invertibility and Symmetry of Polychotomous Metameters for GSK and Other Related Analyses James E. Dunn source 10
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SUGI 1984 A Macro for Fitting Nonlinear Models to Poisson Distributed Data Edward L. Frome,
Richard W. McLain		 source 6
SUGI 1984 An M-Population Covariance Stabilization: PROC VARSTB James E. Dunn,
Mike Zodrow		 source 6
SUGI 1984 Changes and Enhancements to SAS/ETS Procedures David M. DeLong,
Leigh A. Ihnen,
Mark Little		 source 6
SUGI 1984 Computing for Unbalanced Repeated Measures Experiments Kenneth N. Berk source 7
SUGI 1984 Human Factors Engineering in SAS/FSP Applications Kirk Paul Lafler source 2
SUGI 1984 New SAS Survival Procedures David M. DeLong source 3
SUGI 1984 On the Limitations of Akaike's Information Criterion and Its Use in PROC STATESPACE Jim Chavern source 6
SUGI 1983 A Macro for Maximum Likelihood Fitting Log-Linear Models to Poisson and Multinomial Counts with Contrast Matrix Capability for Hypothesis Testing Gary G. Koch,
Maura E. Stokes		 source 6
SUGI 1983 An Algorithm for Producing Exact Maximum Likelihood Estimates for an ARIMA(p,q) Process Carol M. Reilly source 3
SUGI 1983 Missing Events in Survival Analysis Peter A. Lachenbruch,
Robert F. Woolson		 source 6
SUGI 1983 On Estimating Spline Regressions Lawrence C. Marsh source
SUGI 1983 On the Viability of Some ANOVA-based Mixed Model Estimates Kenneth L. Koonce,
W.G. Warren		 source 8
SUGI 1983 Overview of Categorical Data Analysis Methods Ingrid A. Amara,
Susan Atkinson,
Gary G. Koch,
William M. Stanish		 source 10
SUGI 1983 PROC DISCRETE-A Procedure for Fitting Discrete Probability Distributions Charles E. Gates,
James P. Geaghan,
George D. Williams		 source 4
SUGI 1983 PROC MCSTRAT Susanne L. Daood,
James M. Naessens,
Kenneth P. Offord		 source 8
SUGI 1983 The Use of Rank Analysis of Covariance in Analyzing Censored Survival Data Saeid B. Amini,
Peter A. Lachenbruch,
Robert F. Woolson		 source 7
SUGI 1982 Applications of SAS (FUNCAT) to the Analysis of Epidemiological/Survivorship Data Saeid B. Amini,
William R. Clarke,
Robert F. Woolson		 source 9
SUGI 1982 Approaches to Estimating Covariance Matrices with Partial Multinomial Data Mark W. Riggs,
W.B. Smith		 source 10
SUGI 1982 Influential Cases and Transformations R. Dennis Cook,
Sanford Weisberg		 source 6
SUGI 1982 Multidimensional Scaling by Least Squares Cynthia H. Null,
Warren S. Sarle		 source 8
SUGI 1982 New Time Series Features in SAS David M. DeLong source 3
SUGI 1982 Paired Comparison Estimation and Analysis: A SAS Macro Ramon C. Littell,
Walter W. Offen		 source 5
SUGI 1982 PROC TETCORR: Correlations between Categorical and Continuous Variables. J. Philip Miller,
Michael A. Province,
Reimut Wette		 source 4
SUGI 1982 Robustness of Discriminant Functions Peter A. Lachenbruch source 7
SUGI 1982 Using SAS for Box-Cox Transformation in Regression Analysis Ollie Frazier,
Deepak A. Keshani		 source 6
SUGI 1982 Variable Selection for Categorical Data Using SAS Erik J. Bergstralh,
Susan McGorray		 source 6
SUGI 1982 Weibull Regression and Hazard Estimation Jan M. Hanley,
William H. Rogers		 source 11
SUGI 1981 A Comparison of Several Approaches for Calculating LC50s for Binary Responses from Toxicological Experiments Charles M. Bundrick,
Jerry L. Oglesby		 source 8
SUGI 1981 Enhancements in Logistic and Proportional Hazard Regression Procedures Frank E. Harrell Jr.,
Kerry L. Lee,
Ray A. McKinnis		 source 3
SUGI 1981 Missing Data in Multivariate Linear Models: A Comparison of Several Estimation Techniques James D. Hosking source
SUGI 1981 On-line Estimation in Mixed Linear Models William M.Sallas source
SUGI 1981 Path Analytic Models in Human Quantitative Genetics C. Robert Cloninger,
J. Philip Miller,
John Rice		 source 6
SUGI 1980 An Overview of Survival Analysis and SAS Irving K. Hwang source
SUGI 1980 Analysis of Repeated Measures Experiments: One- and Two-way Classifications Louis Bonus,
Harji I. Patel		 source 6
SUGI 1980 Computer Generated Repeatable Examinations Edward L. Spitznagel source 5
SUGI 1980 Guttman Scale Analysis David C. Blouin source 4
SUGI 1980 Interfacing SAS with Simulation Software to Enhance Computer Performance Evaluation Arnold W. Bragg Jr. source 5
SUGI 1980 Nonorthogonal Analysis of Balanced Data Dale O. Everson,
R. Kirk Steinhorst		 source 5
SUGI 1980 Odds Ratio Estimation for Polychotomous Exposures Elizabeth J. Martin,
Linda Williams Pickle		 source 3
SUGI 1980 Procedures for Large Regression Problems Requiring Maximum Likelihood Estimation Frank E. Harrell Jr.,
Kerry L. Lee,
Ray A. McKinnis		 source 4
SUGI 1980 Recent Developments in BMDP of Special Interest to SAS Users James W. Frane source 8
SUGI 1980 SAS Macros for Survival Analysis James A. Bolognese,
Irving K. Hwang		 source 6
SUGI 1979 A SAS-AUTOGRP Interface for the Analysis of Hospital Discharge Data Michael B. Bracken,
Robert F. Elia,
Daniel H. Freeman Jr.,
Jean L. Freeman		 source 7
SUGI 1979 Application of Stepwise MANOVA and MANCOV Using SAS Chandu M. Patel source 9
SUGI 1979 Estimating Passenger Demands from Truncated Samples Franklin S. Young source 5
SUGI 1979 New Features in GLM and VARCOMP James H. Goodnight source 10
SUGI 1979 SAS Procedures for Estimating the Parameters of the Makeham Model R. Clifton Bailey,
James P. Summe		 source 2
SUGI 1978 A SAS Macro for Maximum Likelihood Probit Analysis with Multiple Predictors Carolyn L. Bean,
James E. Dunn		 source 3
SUGI 1978 Applications in Econometrics: Problems, Programs, and Procedures Kenneth J. White source 6
SUGI 1978 Maximum Likelihood Estimation of the Multivariate Logistic Martha McCrate,
Michael A. Province,
Reimut Wette		 source 3
SUGI 1978 Use of SAS Procedures in Estimating Survival Curves Ernest Hilderbrand,
Melvin Moeschberger		 source 7

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