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339 papers and 11 presentations; 326 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Beyond a P-Value Vending Machine: Becoming a Research Partner, Not a Service Provider Mehrnaz Siavoshi source 10
WUSS 2026 The Living Dead in Your Cohort: Immortal Time Bias Detection and Correction in SAS Mehrnaz Siavoshi source 14
PharmaSUG CN 2026 An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub Zhiping Yan source 28
PharmaSUG CN 2026 Implementation of IPCW in Oncology Trials and Enhanced SAS Macro Tools Jiayi Chen,
Meiqing Huang		 source 13
PharmaSUG 2026 Contrast Effects in Curated Observational Data Shankar Srinivasan,
Helen Guo,
Yvonne Buttkewitz		 source 16
PharmaSUG 2026 Streamlining Workflows in Real-World Evidence Studies with an R-Based Automation Tool Lihai Song source 16
PharmaSUG 2026 Tipping Point Analysis: An Illustration of Sensitivity Analysis on Non-Administrative Censoring for Progression-Free Survival (PFS) Lihui Deng,
Kylie Fan,
Xiaoting Qin		 source 7
PHUSE US 2026 From Data Cutoffs to Decision-Making: Programming Futility Analysis in Oncology Clinical Trials Mani Mudumba source
presentation source		 6
PHUSE US 2026 From SAS to R for TLGs: A Case Study on Implementing an 'R-First, SAS-QC' Workflow for Time-to-Event Analysis Adler Moisés Fallas Rodríguez source
presentation source		 8
PHUSE US 2026 Practical Survival Analysis Techniques for Clinical Trials Using SAS Xue Ding,
Tianchen Xu		 source
presentation source		 10
PHUSE APAC 2026 Beyond Log-Rank: Advanced Survival Analysis for Non-Proportional Hazards in Oncology Trials Jagdish Nikam source
poster source		 7
PHUSE APAC 2026 Illustrating treatment switching using Rank preserving structural failure time model in Oncology study Swarupa Changan source
presentation source		 11
PHUSE APAC 2026 One-year Urate-Lowering Therapy Adherence and Risk of Major Osteoporotic Fracture: A Target Trial Emulation Study Seong Jun Byun source
poster source		 5
PHUSE EU 2025 Evaluating the Use of Real-World Data (RWD) as a Synthetic Control Group: A Statistical Approach Vasiliki Economou,
Dimitrios Kounelis		 source
poster source		 17
PHUSE EU 2025 Inverse Probability Weighting in Multiple Groups: Balancing Baseline Characteristics and Improving Precision of Average Treatment Effect Estimation Dimitris Karletsos source
presentation source		 11
MWSUG 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
WUSS 2025 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
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 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 How to compute common clinical trials statistics in R Oleksandr Babych source 15
PharmaSUG 2025 Landmark Analysis: A Method for Accurate Prediction of Time-Dependent Clinical Risks and Their Effect on Patient Outcomes Sunil Kumar Pusarla,
Avani Reddy Alla		 source 8
PharmaSUG 2025 Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis Yuxin Wang,
Kelly Chao,
Wenqing Yu,
Hongbing Jin		 source 11
PharmaSUG 2025 Sensitivity Analysis for Overall Survival Binal Mehta,
Patel Mukesh		 source 13
PharmaSUG 2025 Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words Iryna Kotenko source 8
PHUSE US 2025 Dynamic Survival Model for Monitoring Resistance Mutations in Targeted Therapy: Advancing Precision Medicine in Oncology Hong Zheng source
presentation source		 5
PHUSE US 2025 Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis Navneet Jha source
presentation source		 11
PharmaSUG CN 2024 An Efficient R Shiny App for Exposure-Response Relationship (E-R) Analysis in Oncology Drug Development Zhenghao Chu source 28
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
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
PHUSE EU 2023 Comparison of power between different recurrent events analysis methods using simulation Soumitra Kar source
presentation source		 7
PHUSE EU 2023 Eat, Sleep, R, Repeat Miriam Amor source
presentation source		 9
PharmaSUG 2023 Repetitive Analyses in SAS - Use of Macros Versus Data Inflation and BY Group Processing Bradford J. Danner,
Indrani Sarkar		 source 6
PharmaSUG 2023 Survival Methods for Crossover in Oncology Trials Brian Mosier source 18
PharmaSUG 2022 Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software Matthew T. Slaughter,
Isaiah Lankham		 source 22
PHUSE US 2022 Using the Nest-map-unnest Workflow in R for Sub-group Analysis in Clinical Trial Reporting [presentation] Mia Qi,
Sheng-Wei Wang		 source
video		 12
PHUSE EU 2021 An overview of regression approaches for the competing risks data Oksana Mykhailova,
Julia Ditkovska		 source
video
presentation source		 6
PHUSE EU 2021 Best Practices: Analysing Classical Clinical Trial Data with ML Methods [presentation] Uwe Pritzsche source
video		 10
PHUSE EU 2021 Comparison of PROC REPORT SAS and FLEXTABLE Package of R [presentation] Abu Zafar Mohammad Sami source
video		 23
PHUSE EU 2021 Evaluating the Predictive Accuracy of Survival Models with PROC PHREG Lotte Jacobs,
Roxane Debrus		 source
video
presentation source		 7
PHUSE EU 2021 Studyathons: A New Way of Organising and Promoting Multidisciplinary Collaborations in Biomedical Open Science [presentation] Julia Kurps,
Maria Escala-Garcia		 source
video		 22
PHUSE US 2021 Parmsurv: An SAS Macro for Flexible Parametric Survival Analysis with Long-term Predictions Han Fu,
Shahrul Mt-Isa		 source
video
presentation source		 10
PHUSE US 2021 Software Demonstration: SD14: Accelerate your Transition to R in 4 months: Learn About the Accel2R Accelerated Learning Program [presentation] Steve Walker source 22
PharmaSUG 2021 Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers Yun (Julie) Zhuo source 10
SGF 2021 A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples Isaiah Lankham,
Matthew T. Slaughter		 source 22
SGF 2021 A SAS Macro to Perform Bootstrapping for Internal Validation of Time-Dependent Area Under the Curve Jialin Han,
Jiali Ling,
Maria E. Montez-Rath,
Margaret R. Stedman		 source 9
SGF 2021 A SAS Macro to Perform Kaplan-Meier Multiple Imputation for Survival Analyses with Competing Events Jialin Han,
Sai Liu,
Margaret R. Stedman,
Maria E. Montez-Rath		 source 8
PHUSE EU 2020 Super Static SG Graphics [presentation] Kriss Harris source
video		 24
SGF 2020 Combination Weighted Log-rank Tests for Survival Analysis with Non-proportional Hazards Andrea Knezevic,
Sujata Patil		 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 Model-Based Risk-Adjustment in Clinical Outcome Research Jiming Fang,
Feng Qiu		 source 10
SGF 2020 Recent Developments in Survival Analysis with SAS Software G. Gordon Brown source 9
SGF 2020 Surviving the Cox Proportional Hazards Model with the POWER Procedure Rachel R. Baxter source 6
SGF 2020 Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes Joseph C. Gardiner source 23
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 Sample size and HR confidence interval estimation through simulation of censored survival data controlling for censoring rate Giulia Tonini,
Letizia Nidiaci,
Simona Scartoni		 source 10
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
MWSUG 2019 Time-To-Event Analysis in the Presence of Competing risks Xiaoting Wu 9
PharmaSUG 2019 A SAS Macro to Provide Survival Functions along with Cox Regression Model Efficiently Chia-Ling (Ally) Wu source 6
PharmaSUG 2019 Progression-Free Survival (PFS) Analysis in Solid Tumor Clinical Studies Na Li source 14
PharmaSUG 2019 Stratified COX Regression: Five-year follow-up of attrition risk among HIV positive adults, Bamako Mamadou Dakouo,
Kriss Harris,
Seydou Moussa Coulibaly Coulibaly		 source 12
PharmaSUG 2019 Useful SAS techniques in Efficacy Analysis for Oncology studies Joy Zeng source 21
SGF 2019 Joint Analysis of Failure Times and Time-Varying Covariates Joseph C. Gardiner source 22
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 Using SAS Macros to Analyze Lifetime Data with Left Truncation Zhen-Huan Hu source 11
PHUSE US 2019 Interactive Exploratory Analysis and Visualization for Late-phase Clinical Data Sheng-Wei Wang,
Casey Yang		 source
presentation source		 9
PHUSE US 2019 Misuse and Misapplication in Statistical Data Analysis - A Topic that Never Goes Out of Style Corinna Miede source
presentation source		 12
SCSUG 2018 Backward Elimination in Firth's penalized partial likelihood Approach: Firth's Logistic and Cox Models Chao Zhang source 7
PHUSE EU 2018 A Case Study of Fitting Time-dependent Covariates in Cox Model Using SAS Pankaj Kumar source
presentation source		 5
PHUSE EU 2018 Forest Plots in Survival Subgroup Analyses Michael Brockmann,
Julia Benzing		 source
presentation source		 11
PHUSE EU 2018 Methods for Survival Analysis with Competing Risks Laura Marquis,
Leonie Wagner		 source
presentation source		 8
MWSUG 2018 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson 37
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
PHUSE US 2018 Interim Survival Analysis Across 3 Platforms Venita DePuy source
presentation source		 22
PharmaSUG 2018 A SAS Macro to Generate Information Rich Kaplan-Meier Plots Chia-Ling (Ally) Wu source 11
PharmaSUG 2018 Application of Survival Analysis in Multiple Events Using SAS Jane Lu,
David Shen		 source 9
PharmaSUG 2018 Implementing the Rank-Preserving Structural Failure Time Model in SAS and R Bradford J. Danner,
Indrani Sarkar		 source 8
PharmaSUG 2018 Interactive Programming Using Task in SAS Studio Suwen Li source 7
SGF 2018 Cause-Specific Analysis of Competing Risks Using the PHREG Procedure Changbin Guo source 18
SGF 2018 Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes Joseph C. Gardiner source 21
SGF 2018 Forecasting the Value of Fine Wines Joseph Breeden source 9
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SGF 2018 The Cox Hazard Model for Claims Data Tanya Kolosova source 16
SGF 2018 Using Cox Proportional Hazard Model to Predict Failure: Practical Applications in Multiple Scenarios [presentation] Sudeep Kunhikrishnan source 4
SESUG 2017 SAS Macros for Time - Dependent Effects and Risk Factors on Survival Chao Zhang,
Manali Rupji,
Yuan Liu,
Jeanne Kowalski		 source 6
SCSUG 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
PHUSE EU 2017 Surviving your Statistician: A Programmer's Guide to Survival Analysis James Diserens source
presentation source		 11
PHUSE EU 2017 The Model Statistician Insights into Model Selection Techniques in Clinical Trials Peter Williams source
presentation source		 6
MWSUG 2017 Nothing to SNF At: Evaluating an intervention to reduce skilled nursing home (SNF) length of stay Andrea Frazier 4
MWSUG 2017 The Cox Hazard Model for Claims Data: Bayesian non-parametric approach Samuel Berestizhevsky,
Tanya Kolosova		 17
WUSS 2017 Is My Model the Best? Methods for Exploring Model Fit Deanna Naomi Schreiber-Gregory source 7
WUSS 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez source 19
WUSS 2017 The Cox Hazard Model for Claims Data Samuel Berestizhevsky,
Tanya Kolosova		 source 17
PharmaSUG 2017 Combining Survival Analysis Results after Multiple Imputation of Censored Event Times Jonathan L Moscovici,
Bohdana Ratitch		 source 11
PharmaSUG 2017 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 20
PharmaSUG 2017 The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros Jeffrey P. Meyers source 21
SGF 2017 A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression Sai Liu source
zip		 19
SGF 2017 A SAS Macro to Generate Kaplan-Meier Plot and Optional Estimates Chia-Ling (Ally) Wu source
pdf		 11
SGF 2017 Advanced Hierarchical Modeling with the MCMC Procedure Fang K. Chen,
Maura E. Stokes		 source 21
SGF 2017 Analyzing Correlated Data in SAS Niloofar Ramezani source 13
SGF 2017 Application of Survival Analysis for Predicting Customer Churn with Recency, Frequency, and Monetary Bo Zhang,
Liwei Wang		 source 6
SGF 2017 Evaluating Predictive Accuracy of Survival Models with PROC PHREG Changbin Guo,
Ying C. So,
Woosung Jang		 source 16
SGF 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez,
Phil Gibbs		 source 19
SGF 2017 Survival Analysis of Lung Cancer Patients Using PROC PHREG and PROC LIFETEST [presentation] Yan Wang source 4
SESUG 2016 Surviving the Interim: Insights Into Interim Survival Analyses Venita DePuy source 31
PHUSE EU 2016 Considerations in the Use of Propensity Scoresin Observational Studies Lawrence Rasouliyan,
Estel Plana		 source
presentation source		 17
MWSUG 2016 Is My Model the Best? Methods for Exploring Model Fit Deanna Naomi Schreiber-Gregory 7
MWSUG 2016 Two Shades of Gray: Implementing Gray's Test for Equivalence of CIF in SAS 9.4 Tyler Ward,
Zachary Weber		 7
MWSUG 2016 Use Multi-Stage Model to Target the Most Valuable Customers Chao Xu,
Jing Ren,
Hongying Yang		 10
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
PharmaSUG 2016 Cox proportional hazards regression to model the risk of outcomes per double increase in a continuous explanatory variable Seungyoung Hwang source 4
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan		 source 8
PharmaSUG 2016 Using GTL Generating Customized Kaplan-Meier Survival Plots Joanne C. Zhou source 12
SGF 2016 Analyzing Non-Normal Binomial and Categorical Response Variables under Varying Data Conditions Niloofar Ramezani source 16
SGF 2016 Competing-Risks Analyses: An Overview of Regression Models Joseph C. Gardiner source 22
SGF 2016 Credit Risk Modeling in a New Era Wei Chen,
Martim Rocha,
Jimmy Skoglund		 source 16
SGF 2016 Make Predictions More Predictive: Lift Retail Marketing Campaign Response by Blending Logistic Regression and the Cox Proportional Hazards Model Hsin-Yi Wang source 10
MWSUG 2015 Cutpoint Determination Methods in Survival Analysis Using SAS: Updated %FINDCUT Macro Jeffrey P. Meyers,
Jayawant N. Mandrekar		 7
PHUSE EU 2015 Only Time Will Tell? - Identification of Predictors for Binary Outcomes in Longitudinal Designs [presentation] Knut Mueller source 1
SESUG 2015 Comparing Results from Cox Proportional Hazards Models using SUDAAN and SAS Survey Procedures to a Logistic Regression Model for Analysis of Influenza Vaccination Coverage Yusheng Zhai,
K. E. Kahn,
A. O'Halloran		 source 13
SESUG 2015 Introducing Two-Way and Three-Way Interactions into the Cox Proportional Hazards Model Using SAS Seungyoung Hwang,
Johns Hopkins		 source 5
PharmaSUG CN 2015 A Macro to Automatically Select Covariates from Prognostic Factors and Exploratory Factors for Multivariate Cox PH Model Yu Cheng 6
PharmaSUG CN 2015 Survival Plots using SAS PROC LIFETEST, GPLOT, and SGPLOT: What are their difference? Ka Chun Chong,
Benny Chung-Ying Zee		 8
PharmaSUG 2015 The Implementation of Display Auto-Generation with Analysis Results Metadata Driven Method Chengxin Li source 11
SGF 2015 An Application of the Cox Proportional Hazards Model to the Construction of Objective Vintages for Credit in Financial Institutions, Using PROC PHREG Iván Darío Atehortua Rojas source
zip		 8
SGF 2015 Competing Risk Survival Analysis Using SAS: When, Why, and How Lovedeep Gondara source 10
SGF 2015 Cutpoint Determination Methods in Survival Analysis Using SAS: Updated %FINDCUT Macro Jayawant N. Mandrekar,
Jeffrey P. Meyers		 source 8
SGF 2015 Forest Plotting Analysis Macro %FORESTPLOT Jeffrey P. Meyers,
Qian Shi		 source 18
SGF 2015 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 20
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 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 Using the PHREG Procedure to Analyze Competing-Risks Data Ying C. So source 9
MWSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers 20
MWSUG 2014 Tell Me What You Want: Conjoint Analysis Made Simple Using SAS Delali Agbenyegah 14
PharmaSUG CN 2014 Design and Construct Efficacy Analysis Datasets in Later Phase Oncology Study Huadan Li,
Changhong Shi		 9
WUSS 2014 A Statistical and Visual Exploration of the Surveillance, Epidemiology, and End Results (SEER) Database Using SAS Christopher Yim source 10
WUSS 2014 Efficient Cut-point Estimation and Validation using PROC PHREG Alan Mitchell source 7
PharmaSUG 2014 Handling with missing data in clinical trials for time-to-event variables Giulia Tonini,
Simona Scartoni,
Angela Capriati		 source 9
PharmaSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 19
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 Using SAS to Calculate and Compare Adjusted Relative Risks, Odds Ratios, and Hazard Ratios Besa Smith,
Tyler C. Smith		 source 23
SGF 2014 Regression Analysis of Duration and Severity Data: New Capabilities with SAS Software Joseph C. Gardiner source 19
SGF 2014 Risk Factors and Outcome of Spinal Epidural Abscess from Incident Hemodialysis Patients from the United States Renal Data System between 2005 and 2008 Chan Jin,
Jennifer White,
Rhonda Colombo,
Stephanie Baer,
Usman Afza,
M. Kheda,
Lu Huber,
Puja Chebrolu,
N. Stanley Nahman,
Kristina Kintziger		 source 4
SGF 2014 SAS/STAT 13.1 Round-Up Bob Rodriguez,
Maura E. Stokes		 source 25
WUSS 2013 Competing risks regression: Big Data issues from modest sample sizes Katharine Kirby,
Deborah Barnes,
W. John Boscardin		 source 4
WUSS 2013 Estimating the Impact of Lost to Follow-up on Breast Cancer Patients' Disease-free Survival Debbie Yan Qun Huang source 7
WUSS 2013 How to Compute Custom Hazard Ratio in SAS (V8.2&V9.2) PHREG Procedure Liguo Cheng,
Yu Li		 source 8
WUSS 2013 Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building Yinghui Miao,
Irena Stijacic Cenzer,
Katharine Kirby,
W. John Boscardin		 source 13
WUSS 2013 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 24
SESUG 2013 Role of Fibrinogen, HDL Cholesterol and Cardio Respiratory Fitness in Predicting Mortality Due to Cardio-vascular Disease: Results From the Aerobics Center Longitudinal Study Srinivasa Madhavan source 4
SESUG 2013 SAS Macros to Conduct Common Biostatistical Analyses and Generate Reports Dana Nickleach,
Yuan Liu,
Adam Shrewsberry,
Kenneth Ogan,
Sungjin Kim		 source 8
PHUSE EU 2013 Computing the 'Competing Risks' - Modeling Survival Data with Competing Risk Events using SAS Macros Swapna Deshpande source
presentation source		 10
PHUSE EU 2013 Extensions of Cox Model for Non-Proportional Hazards Purpose Jadwiga Borucka source
presentation source		 10
PHUSE EU 2013 Lexis Expansion - Age-at-Risk Adjustment for Survival Analysis Lai San Hong,
Sarah Lewington		 source 5
PharmaSUG 2013 Bayesian Analysis of Survival Data with SAS PHREG Procedure Ryan Brady source 8
PharmaSUG 2013 Time to Event Analysis in the Pharmaceutical and Medical Device Industries Helen M. Chmiel,
Evan L. Ritzema		 source 8
SGF 2013 10 SAS Skills for Grad Student Survival: A Grad Student ?How-To? Paper View Paper View Poster Elisa L. Priest source
pdf		 15
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 Cox Proportional Hazard Model Evaluation in One Shot Polina Kukhareva source 11
SGF 2013 Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples Irena Stijacic Cenzer,
W. John Boscardin,
Katharine Kirby,
Yinghui Miao		 source 12
SGF 2013 Models for Ordinal Response Data Robin High source 16
SGF 2013 Using the QUANTLIFE Procedure for Survival Analysis Bob Rodriguez,
Guixian Lin		 source 13
NESUG 2012 Building a Predictive Model for 30-Day Inpatient Readmission Using PROC PHREG Klaus Lemke 13
SCSUG 2012 Net Present Value Model Approach Jingjing Qu source 7
PHUSE EU 2012 A Supplement to the SAS Survival Guide - Nonparametric Regression Karl-Ernst Siegler source
presentation source		 8
PHUSE EU 2012 Risk-Benefit Analysis for Oncology Clinical Trials Lovemore Gakava,
Waseem Jugon		 source
poster source		 8
SESUG 2012 Integration of Scientific Writing into an Applied Biostatistics and SAS Programming Course for Pharmaceutical Sciences Graduate Students Daniel L. Hertz,
Daniel J. Crona,
Jasmine Talameh,
Scott J. Brantley,
Luke Roode,
Katherine N. Theken,
J. Heyward Hull		 source 7
WUSS 2012 Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data Arthur L. Carpenter,
Christopher F. Ake		 source 7
PharmaSUG 2012 A SAS Macro for Biomarker Analysis using Maximally Selected Chi-Square Statistic With Application in Oncology Quan Jenny Zhou,
Bala Dhungana		 source 8
PharmaSUG 2012 Are You Discrete? Patients' Treatment Preferences and the Discrete Choice Experiment Beeya Na,
Eric P. Elkin		 source 5
PharmaSUG 2012 Multiple Applications of ADaM Time-to-Event Datasets Huei-Ling Chen,
Helen Wang		 source 6
SGF 2012 Effect Modification, Confounding,Hazard Ratio, Distribution Analysis, and Probability of Non-normal Data for Head Neck Cancer Manojkumar B Agravat source 40
SGF 2012 Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods Joseph C. Gardiner source 15
SGF 2012 SAS Tools for Cost-Effective and High-Quality Clinical Trial Reporting Paul J. Novotny,
Angelina Tan,
Nathan R. Foster,
Jeff A. Sloan		 source 10
SGF 2012 Using PHREG for Model Selection to Explore the Time Taking Immigrants in the GB to Find First Employment and Cross Validating Frailty Terms JuYin Helen Wong source 5
SGF 2012 Using 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
SESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen		 source 20
WUSS 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes source 20
MWSUG 2011 Application for Survival Analysis through Microsoft Access GUI Zhong Yan,
Jie Li,
Jiazheng (Steven) He		 7
MWSUG 2011 Increased Life Expectancy from Positive Perceptions of Retirement Reuben Ng,
Deepak C. Lakra,
Becca R. Levy		 10
MWSUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Fang K. Chen,
Ying So		 20
MWSUG 2011 Using SAS to Extend Logistic Regression Dachao Liu 8
NESUG 2011 A Missing Guide for a Comprehensive Kaplan-Meier Plot Jiannan Hu 7
NESUG 2011 Implementing a Customer Lifetime Value Framework in SAS Krishna Mehta 8
NESUG 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes 20
PharmaSUG 2011 Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis Matthew Davis,
Sharon X. Xie		 source 9
PharmaSUG 2011 CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao		 source 19
PharmaSUG 2011 Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS Dongsun Cao,
Xiaomin He		 source 12
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund source 20
SGF 2011 CONTRAST and ESTIMATE Statements Made Easy: The LSMESTIMATE Statement Kathleen Kiernan,
Randy Tobias,
Phil Gibbs,
Jill Tao		 source 19
SGF 2011 On Deck: SAS/STAT 9.3 Maura E. Stokes,
Robert N. Rodriguez,
Funda Güneş		 source 20
SGF 2011 Using SAS Procedures FREQ, GENMOD, LOGISTIC, and PHREG to Estimate Adjusted Relative Risks: A Case Study Jiming Fang source 11
SGF 2011 What CDISC Means to SAS Programmers Kevin Lee source 3
NESUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes,
Robert N. Rodriguez,
Robert Cohen		 20
SCSUG 2010 Impact of model mis-specification on conditional power in interim survival analysis Chao L. Chen source 9
WUSS 2010 Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data Christopher F. Ake source 7
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 PROC LIFEREG or PROC PHREG Dachao Liu 9
MWSUG 2010 Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data Christopher F. Ake,
Arthur L. Carpenter		 6
MWSUG 2010 The Next Generation: SAS/STAT 9.22 Maura E. Stokes 20
MWSUG 2010 Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards Michael G. Wilson 24
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 Tips for Creating Oncologic Efficacy Summary Tables using PROC LIFETEST and PROC PHREG Scott Michael Ward 7
SGF 2010 Adding Statistical Functionality to the DATA Step with PROC FCMP Stacey M. Christian,
Jacques Rioux		 source
zip		 13
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 Analysis of Survival Data with Recurrent Events Using SAS Rena Jie Sun,
Daniel T. Cotton		 source 8
SGF 2010 Not Hazardous to Your Health: Proportional Hazards Modeling for Survey Data with the SURVEYPHREG Procedure Pushpal K. Mukhopadhyay source 13
SGF 2010 Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments Joseph C. Gardiner source 23
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
WUSS 2009 Computing Hazard Ratios and Confidence Intervals for a Two-Factor Cox Model with Interaction Terms Marla J. Husnik,
Jing Wang		 source 10
WUSS 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
PharmaSUG 2009 Computing Hazard Ratios and Confidence Intervals for a Two-Factor Cox Model with Interaction Terms Jing Wang,
Fred Hutchinson Cancer		 10
SGF 2009 Analysis of Survival Data with Clustered Events Lida Gharibvand,
Lei Liu		 source 11
SGF 2009 Beyond SAS/Genetics Amina Barhdadi,
Yassamin Feroz Zada,
Marie-Pierre Dube		 source 10
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 Fitting Cox Model Using PROC PHREG and Beyond in SAS Lea Liu,
Sandy A. Forman,
Bruce A. Barton		 source 10
SGF 2009 Test Linearity between Continuous Confounder and Binary Outcome First, Run Multivariate Regression Analysis Second Jiming Fang,
Peter C. Austin,
Jack V. Tu		 source 8
WUSS 2008 A Step-by-Step Guide to Survival Analysis Lida Gharibvand source 16
WUSS 2008 Evaluation of a Hospice Care Referral Program Using Cox Proportional Hazards Model Lida Gharibvand,
Daniel R. Jeske,
Solomon Liao		 source 16
WUSS 2008 Score Test of Proportionality Assumption for Cox Models Xiao Chen source 6
WUSS 2008 Surviving Left Truncation Using PROC PHREG Aimee Foreman,
Ginny Lai,
Dave P. Miller		 source 8
SESUG 2008 Surviving Survival Analysis - An Applied Introduction Christianna S. Williams source 17
PHUSE EU 2008 A gentle introduction to Survival Analysis Martin Scottt,
Angelo Tinazzi		 source 13
MWSUG 2008 How to Generate Dynamical and Flexible Codes in Clinical Trial Xianming (Steve) Zheng 3
MWSUG 2008 Survival Methods for Correlated Time-to-Event Data James Bena,
Shannon McIntyre		 3
NESUG 2008 Analysis of Correlated Recurrent and Terminal Events Data in SAS Li Lu,
Chenwei Liu		 8
NESUG 2008 Surviving Survival Analysis - An Applied Introduction Christianna S. Williams 17
PharmaSUG 2008 Sample Size Estimation for Trials of Recurrent Events Kuolung Hu 8
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
NESUG 2007 Butting Heads on Matched Cohort Analysis Using SAS Software Melvin T. Alexander 12
NESUG 2007 Customizing Output for Regression Analyses Using ODS and the Data Step Zhenyi Xue 11
SESUG 2007 Discrete Choice Modeling with PROC MDC John Ang source 6
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
WUSS 2007 Survival Analysis Plots Using SAS ODS Graphics Lida Gharibvand,
George C. J. Fernandez		 source 10
WUSS 2007 They Were Our Dreams - Tables and Graphics for Survival Analysis using ODS Wei Cheng source 13
PNWSUG 2007 Utilizing PHREG for Cox proportional hazards regression modeling with time-varying covariates Marla J. Husnik,
Eugene Huang		 14
PharmaSUG 2007 A Review of Propensity Score Application in Healthcare Outcome and Epidemiology Guiping Yang 24
PharmaSUG 2007 Graphing Estimates of Regression Models for Discrete and Limited Dependent Variables Jianming He,
David Budd		 10
SGF 2007 Saving Trees with Output Delivery System (ODS) Angelina D. Diehl,
Nancy Mandrekar,
Jayawant N. Tan		 source 9
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
MWSUG 2006 Checking Assumptions in the Cox Proportional Hazards Regression Model Brenda W Gillespie 70
MWSUG 2006 Time to Failure in UPS Data Collector and UPS Thermal Printer Rebecca E Dennison 10
PHUSE EU 2006 Is your output telling you the truth? Tips and Tricks in verifying SAS Outputs Angelo Tinazzi,
Sonia Colombini		 source 7
PHUSE EU 2006 The Hazards of Modelling Proportional Hazards in SAS Erika Daly,
Farzana Sufi		 source 4
WUSS 2006 Get the Correct Hazard Ratio from SAS PROC PHREG Procedure Betty Ying Wang source 7
NESUG 2006 Statistical analysis of clustered data using SAS Gui-Shuang Ying,
Chengcheng Liu		 13
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
SUGI 2006 A System of SAS Macros for Producing Statistical Reports Greg A. Grandits source 7
SUGI 2006 Assessing Within- and Between-Individual Effects Using Correlated Data from an HIV Clinical Trial Marla J. Husnik,
Grant Colfax,
Eugene Huang		 source 10
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 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
PNWSUG 2005 Assessing Within- and Between-Subject Effects with Correlated Clinical Data Marla J. Husnik,
Eugene Huang,
Grant Colfax		 10
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
PharmaSUG 2005 Assessing Within- and Between-Subject Effects with Correlated Clinical Data Marla J. Husnik,
Eugene Huang,
Grant Colfax		 10
SUGI 2005 Model Building in PROC PHREG with Automatic Variable Selection and Information Criteria Emily M. Cain,
Ken Kleinman,
Ernest S. Shtatland		 source 10
SUGI 2005 Predicting Customer Value Will Potts source 6
SUGI 2005 Single Event Timing Model with Heterogeneity: Predicting the Time of the First Home Purchase by Immigrants Eugene Brusilovskiy source 9
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
WUSS 2004 Survival Analysis Using SAS Macros, ODS and SAS/GRAPH Natalia V. Udaltsova,
Irina V. Tolstykh,
Arthur L Klatsky		 source 9
MWSUG 2004 A System of SAS Macros for Producing Statistical Reports Greg A. Grandits,
Ken Svendsen		 8
MWSUG 2004 SAS Macros to Implement Survival Analyses for Oncology Clinical Trials Adeline Yeo 5
PharmaSUG 2004 %Cox_PH - An enhancement of SAS PROC PHREG Hong (Lily) Zhang,
Robin Mogg		 8
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
WUSS 2003 Analysis of Data from Recurrent Events Gordon Johnston,
Ying C. So		 source 8
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
WUSS 2003 Extending the Use of PROC PHREG in Survival Analysis Christopher F. Ake,
Arthur L. Carpenter		 source 6
WUSS 2003 Presenting Logistic Regression Models to Non-Statisticians: Adjusted Probabilities and Adjusted Risk Ratios David J. Pasta,
Miriam G. Cisternas		 source 4
SEUGI 2003 Putting Price Tags on Houses - Survival Analysis with Real Estate Data [presentation] Marco Salvi source 18
PharmaSUG 2003 Using SAS software for Multilevel Models in Survival Analysis Gisela Tunes da Silva 4
SUGI 2003 An Approach to Displaying Predicted Survival Data Based on the Level of a Continuous Covariate Cristine Allmer,
Daniel J. Sargent		 source 4
SUGI 2003 Analysis of Data from Recurrent Events Gordon Johnston source 8
SUGI 2003 Cutpoint Determination Methods in Survival Analysis Using SAS Jayawant N. Mandrekar,
Sumithra J. Mandrekar,
Stephen S. Cha		 source 5
SUGI 2003 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 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
WUSS 2002 Survival Analysis with PHREG: Using MI and MIANALYZE to Accommodate Missing Data Arthur L. Carpenter source 6
SEUGI 2002 Predictin Customer Default Times using Survival Analysis Methods in SAS [presentation] Bart Baesens source 16
PharmaSUG 2002 Recovering Lost Lines: Using the Whole Page with Proc Report Richard R. Allen 6
SUGI 2002 A Proportional Odds/Hazards Approach to Analyzing Likert Scale Data Lynette K. Duncan,
James E. Dunn		 source 5
SUGI 2002 Analyzing Discrete Choice Data on Monadic Cards Jay Wu source 7
SUGI 2002 Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS Junxiang Lu source 6
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
SUGI 2001 Survival Analysis and the Application of Cox's Proportional Hazards Modeling Using SAS Tyler C. Smith,
Besa Smith		 source 9
SESUG 2000 Performing Exact Logistic Regression with the SAS R /AD System Robert E. Derr source 10
WUSS 2000 Analyzing Correlated oridinal reponse data using partial likelihood regression Jimmy Thomas Efrid source 3
WUSS 2000 Graphing the Probability of Hospitalization as a Function of Time Using Estimates and the SAS System's PROC PHREG Tyler C. Smith source 7
WUSS 2000 SAS STAT applications in Econometrics Mathura Thillainathan,
George C. J. Fernandez		 source 10
SUGI 2000 Calculating the Probability of Hospitalization as a Function of Time, An Application of Cox's Proportional Hazards Modeling Tyler C. Smith source 5
SUGI 2000 Performing Exact Logistic Regression with the SAS System Bob Derr source 10
WUSS 1999 Calculating the Probability of Hospitalization as a Function of Time Using the SAS System's PROC PHREG Tyler C. Smith source 5
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
WUSS 1998 Illustration of Improving Kaplan-Meier Plots in the Presence of Heavy Left Truncation Alison J. Canchola source 6
NESUG 1998 A Simulation Study of Estimators In Stratified Proportional Hazard Models Hsi-Wen Liao 8
NESUG 1998 Risk Evaluation after Heart Valve Replacement by PROC PHREG Choa Chen 7
SESUG 1998 Software for GEE: PROC GENMOD and SUDAAN Babubhai V. Shah 5
SUGI 1998 A Method to Generate Kaplan-Meier and Adjusted Survival Curves Using SAS Bharat K. Thakkar,
Kwan Hur,
William G. Henderson,
Charles A. Oprian		 source 3
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
NESUG 1997 Macro to Determine the Significance of the Main Effects of Two Categorical Factors for the PHREG Procedure Robert J. Gallop 9
NESUG 1997 Survival Analysis: Non-Traditional Applications for Non-Statisticians Margaret Ann Goetz 5
MWSUG 1997 An Introduction to Survival Analysis Linda M. Quinn 12
SEUGI 1997 %SUPLANA - a powerful SAS macro routine for survival analysis Angelo Tinazzi,
Valter Torri		 source 6
SEUGI 1997 An application and visualization tool for the exploratory analysis of lifetime data Hans-Peter Altenburg,
Thomas Floren		 source 6
SEUGI 1997 Modelling of road deterioration including lifetime distribution and the Cox model Emmanuel Courilleau source 11
SUGI 1997 Creating Clinical Trial Summary Tables Containing P-Values: A Practical Approach Using Standard SAS Macros Jun Zuo,
Carl R. Haske		 source 6
SESUG 1996 sl4tistia Dale Preston 7
MWSUG 1996 A SAS Macro For Modified Kaplan-Meier Estimates with Time Dependent Covariates Lonni R. Schultz,
Gordon R. Jacobsen,
Edward L. Petersen		 6
WUSS 1996 Survival Analysis with Staggered Entry Times and a Time-dependent Covariate Alison J. Canchola source 5
SUGI 1996 Estimating Optimal Transformations in Non-Linear Models Nicholas Scott Cardell,
Dan Steinberg		 source 6
MWSUG 1995 Applications of PROC PHREG Enhancements in Version 6.10 Ying C. So 9
NESUG 1995 More on PROC PHREG: Conditional Logistic Regression (or Should We Do Another Study..?) Peter P. Gaccione 10
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
SUGI 1995 Bootstrap Cox Regression Using SAS Procedures Chikuma Hamada,
Junji Kishimoto		 source 5
NESUG 1994 How to Survive PROC LIFETEST Peter P. Gaccione 10
SEUGI 1994 The Role of SAS Software in the Analysis of the Data in a Donor Insemination Programme William Wallace source 14
SUGI 1994 Interval-Censored Survival Data Ying C. So source 7
SCSUG 1993 Survival Analysis with SAS LIFETEST and PHREG Procedures Zhongmin Li 10
SEUGI 1993 Variable Selection Techniques Implemented in Procedures of SAS Software Olaf Gefeller source 9
SUGI 1993 Application of Conditional Logistic Regression Methods to Event History and Multiple-Choice Data Dan Steinberg source 4
SUGI 1993 Likelihood Ratio Tests for Regression Coefficients from the Cox Proportional Hazards Model Using the PHREG Procedure Laurent M. Kassalow source 6
NESUG 1992 An In-Depth Look at the PHREG Procedures Peter P. Gaccione 9
SUGI 1992 Proportional Hazards Analysis of Left-truncated Survival Data Dennis Heisey source 6
SUGI 1992 Using the SAS System for Medical Data Processing and Event Analysis: An Overview Harald Pitz,
Marcus Frenz,
Hans-Peter Howaldt		 source 6
SEUGI 1991 Future Directions of Statistical Software with the SAS System David M. DeLong source 20
SUGI 1991 Competing Risk Multi-Spell Survival Analysis: The CTM Procedure Dan Steinberg source 6
SEUGI 1990 Prediciting and Understanding Steam Generator Tubes Lifetime Using SAS Software Survival Procedures P. Pittner,
T. Riffard		 source 8
SUGI 1989 An Evaluation of Residuals for the Cox Model William E. Barlow,
Shan-Pin Fanchiang		 source 6
SUGI 1989 Examining the Relationship between Survival Time and Time-dependent Covariables Using the PHSPLM Procedure Frank E. Harrell Jr.,
James E. Herndon II		 source 6
SUGI 1989 Field Reliability Assessment Using the Proportional Hazards Model Stephen Freitas,
Raymond V. Spring		 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 1987 Graphical Methods for the Analysis of Survival Data Frank E. Harrell Jr.,
Kerry L. Lee,
Barbara G. Pollock		 source 9
SEUGI 1986 Survival Analysis in the SAS System A Survey E. Meisinger,
M. Strauch,
N. Gretz		 source 8
SUGI 1986 Verifying Assumptions of the Cox Proportional Hazards Model Frank E. Harrell Jr.,
Kerry L. Lee		 source 6
SEUGI 1985 The Nonparametric Tests in SURVTEST, COXREGR and PHGLM Jan Mulder source 7
SUGI 1984 Technical Exposition of Graphical Tools in Survival Analysis Gregory G. Enas,
C. David Hardison,
Frank W. Rockhold		 source 6
SUGI 1983 Missing Events in Survival Analysis Peter A. Lachenbruch,
Robert F. Woolson		 source 6
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 Weibull Regression and Hazard Estimation Jan M. Hanley,
William H. Rogers		 source 11

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