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hazard ratio

168 papers and 9 presentations; 165 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 2026 Improving Risk-Based QA in Outsourced Studies Using Cross-Domain ADaM Derivation Comparisons Pallavi Sadhab source 10
PharmaSUG 2026 Interactive Safety Data Visualization Platform: Transforming Adverse Event Analysis Review Through Dynamic Dashboards in Clinical Trials Nishanth Chinthala,
Alexandr Hromcenco		 source 5
PharmaSUG 2026 Path to Consistent Clinical Graphics: An R Shiny Gallery Michelle Harwood,
Austin Taylor		 source 12
PHUSE US 2026 Building the Information Infrastructure Required for AI with Human in the Loop [presentation] Tomás Sabat Stofsel source 53
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 US 2026 Privacy-Preserving Methods for Oncology Research Using Differential Privacy Elena Valkanova source
poster source		 12
PHUSE US 2026 Real-World Evidence Pavilion: Interactive Workshop: Bridging Estimands & Target Trial Emulation [presentation] Lauren Dang,
Matt Baldwin		 source 6
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 Crafting a recipe for success : Aligning Target Product Profiles and study design to ensure statistical significance translates to clinical relevance and role of DGF Soumitra Kar,
Novo Nordisk GBS		 source
presentation source		 9
PHUSE APAC 2026 Innovative Strategies for Managing Missing Data in Real-World Data: Insights from APAC Global Capability Centers Likhita Kolli,
Tuhin James Paul		 source
poster source		 12
PHUSE APAC 2026 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 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 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 Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words Iryna Kotenko source 8
PHUSE US 2025 Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis Navneet Jha source
presentation source		 11
PHUSE US 2025 SAS Programming approach for adjustment of treatment switching using Two-Stage Method Mani Mudumba source
presentation source		 13
PHUSE EU 2024 Comparative Analysis: Creating Kaplan-Meier Plots Using SAS vs Python - A Step-by-Step Approach Mrityunjay Kumar,
Ephicacy Lifescience		 source
presentation source		 13
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
PharmaSUG 2024 Kaplan-Meier Graph: a comparative study using SAS vs R Mrityunjay Kumar,
Shashikant Kumar		 source 11
PHUSE EU 2023 Comparison of power between different recurrent events analysis methods using simulation Soumitra Kar source
presentation source		 7
PharmaSUG 2023 Generating Clinical Graphs in SAS and R - A Comparison of the Two Languages Kriss Harris,
Endri Elnadav		 source 48
PharmaSUG 2023 Guidelines for the Statistical Analysis in German Dossier Submissions Meiling Gao,
Xi Qian,
Hui Mao		 source 8
PharmaSUG 2023 Meta-Analysis in R Lin Gu source 8
PHUSE US 2022 Clinical Statistical Reporting in a Multilingual World [presentation] Michael S Rimler,
Michael Stackhouse		 source 11
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 Comparison of PROC REPORT SAS and FLEXTABLE Package of R [presentation] Abu Zafar Mohammad Sami source
video		 23
PHUSE EU 2021 Statistical Approaches in Complex Efficacy Analysis for Vaccine Trials [presentation] Drisya C A,
Nijitha L M		 source
video		 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
PHUSE US 2021 Table-based Data Visualizations Using R [presentation] Matthew Kumar source
video		 26
PharmaSUG 2021 Super Static SG Graphs Kriss Harris source 7
PharmaSUG 2021 Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers Yun (Julie) Zhuo source 10
SGF 2021 Super Static SG Graphs Kriss Harris source
presentation		 7
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 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 Demographic Table and Subgroup Summary Macro %TABLEN Jeffrey P. Meyers source 12
PharmaSUG 2020 End-to-end Prostate-Specific Antigen (PSA) Analysis in Clinical Trials: From Mock-ups to ADPSA Joy Zeng,
Varaprasad Ilapogu,
Xinping Cindy Wu		 source 12
PharmaSUG 2020 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
PHUSE US 2020 Assessing Non-inferiority and Equivalence from Survival Data Chintan Arora,
Parvee Kumar		 source
presentation source		 7
MWSUG 2019 Survival Tips for Survival Analysis Xiaoting Wu 13
PharmaSUG 2019 A SAS Macro to Provide Survival Functions along with Cox Regression Model Efficiently Chia-Ling (Ally) Wu source 6
PharmaSUG 2019 Learning SAS GTL Basics with Practical Examples Jinit Mistry source 12
PharmaSUG 2019 Progression-Free Survival (PFS) Analysis in Solid Tumor Clinical Studies Na Li source 14
PharmaSUG 2019 Sample Size Determination with SAS Studio Bill Coar source 13
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 Sample Size Determination with SAS Studio William Coar source 13
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
PHUSE EU 2018 Sample Size: A Couple More Hints to Handle it Right Using SAS and R Andrii Artemchuk source
presentation source		 11
PHUSE EU 2018 Subpopulation Treatment Effect Pattern Plot (STEPP) for Categorisation of Baseline Characteristics Andrea Parodi,
Dimitri Petratchenko		 source
poster source		 6
MWSUG 2018 Spotfire Clinical visualizations from SAS and R Zeqing Lu,
Hillary Graham,
Jessica Chen		 4
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 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
PharmaSUG 2018 Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies Kelci J. Miclaus,
Lili Li		 source 12
PharmaSUG 2018 Sense and Censorability: Learn censoring techniques with ADTTE for your survival Shilpakala Vasudevan source 12
SGF 2018 Cause-Specific Analysis of Competing Risks Using the PHREG Procedure Changbin Guo source 18
SGF 2018 Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest Yuriy Chechulin source 15
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SGF 2018 The Cox Hazard Model for Claims Data Tanya Kolosova source 16
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
MWSUG 2017 The Cox Hazard Model for Claims Data: Bayesian non-parametric approach Samuel Berestizhevsky,
Tanya Kolosova		 17
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 to Generate Kaplan-Meier Plot and Optional Estimates Chia-Ling (Ally) Wu source
pdf		 11
SESUG 2016 Surviving the Interim: Insights Into Interim Survival Analyses Venita DePuy source 31
PHUSE EU 2016 Clinical Graphs Using SAS Sanjay N. Matange source
presentation source		 12
PHUSE EU 2016 Considerations in the Use of Propensity Scoresin Observational Studies Lawrence Rasouliyan,
Estel Plana		 source
presentation source		 17
MWSUG 2016 Use Multi-Stage Model to Target the Most Valuable Customers Chao Xu,
Jing Ren,
Hongying Yang		 10
WUSS 2016 Introduction to Survival Analysis in SAS Leanne Goldstein,
Rebecca Ottesen		 source 19
PharmaSUG 2016 Clinical Graphs Using SAS Sanjay N. Matange 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
SGF 2016 Clinical Graphs Using SAS Sanjay N. Matange source
zip		 20
SGF 2016 Competing-Risks Analyses: An Overview of Regression Models Joseph C. Gardiner source 22
MWSUG 2015 Cutpoint Determination Methods in Survival Analysis Using SAS: Updated %FINDCUT Macro Jeffrey P. Meyers,
Jayawant N. Mandrekar		 7
PHUSE EU 2015 Adjusting Long-term Efficacy Estimates when Patients Cross Over to Experimental Treatment Sabine Lauer source
presentation source		 11
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 2015 Forest Plots: Old Growth versus GMO (Genetically Modified Organism) Scott Horton source 12
SGF 2015 Analysis of Survey Data Using the SAS SURVEY Procedures: A Primer Patricia A. Berglund source 19
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 Survival Analysis with Survey Data Joseph C. Gardiner source 17
SGF 2015 Using the PHREG Procedure to Analyze Competing-Risks Data Ying C. So source 9
PHUSE EU 2014 Evaluating the Tradeoff between Quality of Life through Quality-Adjusted Survival Analysis Lawrence Rasouliyan source
presentation source		 12
MWSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers 20
PharmaSUG CN 2014 Plotting Against Cancer: Creating Oncology Plots Using SAS Debpriya Sarkar 30
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 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 Plotting Against Cancer: Creating Oncology Plots Using SAS Debpriya Sarkar source 30
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
WUSS 2013 How to Compute Custom Hazard Ratio in SAS (V8.2&V9.2) PHREG Procedure Liguo Cheng,
Yu Li		 source 8
WUSS 2013 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 24
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 Models for Ordinal Response Data Robin High source 16
NESUG 2012 Building a Predictive Model for 30-Day Inpatient Readmission Using PROC PHREG Klaus Lemke 13
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
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 Using SAS to Extend Logistic Regression Dachao Liu source 8
MWSUG 2011 Customizing Survival Plot by %Survivalplot Macro Zhong Yan 12
MWSUG 2011 Increased Life Expectancy from Positive Perceptions of Retirement Reuben Ng,
Deepak C. Lakra,
Becca R. Levy		 10
MWSUG 2011 Using SAS to Extend Logistic Regression Dachao Liu 8
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund source 20
SGF 2011 Matching-Adjusted Indirect Comparison Analysis Using Common SAS 9.2 Procedures Elisabetta Malangone,
Steven Sherman		 source 6
SCSUG 2010 Impact of model mis-specification on conditional power in interim survival analysis Chao L. Chen source 9
PHUSE EU 2010 Assesment of Cox Proportional Hazard Model Adequacy Using PROC PHREG and PROC GPLOT Jadwiga Borucka source
presentation source		 13
PHUSE EU 2010 Forest Plots and SAS Anne Barfield source 5
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 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 Creating Forest Plots from Pre-computed Data Using PROC SGPLOT and Graph Template Language Zoran Bursac source 9
SGF 2010 Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments Joseph C. Gardiner source 23
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 Easier Exploratory Analysis for Epidemiology: A Grad Student "How-To" Paper Elisa L. Priest,
Brian Adams,
Lori A. Fischbach		 source 11
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 Evaluation of a Hospice Care Referral Program Using Cox Proportional Hazards Model Lida Gharibvand,
Daniel R. Jeske,
Solomon Liao		 source 16
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 Survival Methods for Correlated Time-to-Event Data James Bena,
Shannon McIntyre		 3
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
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
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 Graphing Estimates of Regression Models for Discrete and Limited Dependent Variables Jianming He,
David Budd		 10
MWSUG 2006 Checking Assumptions in the Cox Proportional Hazards Regression Model Brenda W Gillespie 70
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
PharmaSUG 2006 Sample Size Calculation and Timeline Estimate for Progression-Free Survival Chung-Kuei Chang 10
SUGI 2006 A System of SAS Macros for Producing Statistical Reports Greg A. Grandits source 7
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 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
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
SUGI 2004 An Introduction to Matching and Its Application Using the SAS System Jayawant N. Mandrekar,
Sumithra J. Mandrekar		 source 9
PharmaSUG 2002 Recovering Lost Lines: Using the Whole Page with Proc Report Richard R. Allen 6
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 Can A New Interpretation Of Survival Data Help Patients Successfully Modify Adverse Risk Profiles? Gregory L. Pearce source 5
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
NESUG 1998 A Simulation Study of Estimators In Stratified Proportional Hazard Models Hsi-Wen Liao 8
SEUGI 1998 SCHARP: Survival Curve and Hazard Ratio Program Angelo Tinazzi,
Jayne Tierney,
Lesley Stewart,
Max Parmar,
Valter Torri		 source 9
NESUG 1997 Creating Complex Graphics for Survival Analyses with the SAS System Steven E. Elkin 7
SUGI 1997 Creating Complex Graphics for Survival Analyses with the SAS System Steven E. Elkin,
William Mietlowski,
Kevin McCague,
Andrea Kay		 source 6
MWSUG 1995 A Macro System for Calling PROC GPLOT For General Usage But Also Having a Major Application for PROCS LIFETEST and PHREG Plots Hugh Geary 6
SUGI 1989 The PHGLM Procedure for Time-Dependent Covariates - and the Case-Cohort Design David Yu-Wu Pee,
Sholom Wacholder		 source 6
SUGI 1986 Verifying Assumptions of the Cox Proportional Hazards Model Frank E. Harrell Jr.,
Kerry L. Lee		 source 6

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