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proportional hazards assumption

46 papers and 1 presentation; 45 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 Algorithms to align the distribution of follow-up across independently collected cohorts when comparing time to event endpoints using conventional Kaplan Meier and Cox regression methods. Shankar Srinivasan,
Yvonne Buttkewitz,
Regina Uttenreuther,
Baldeep Chani Talwar,
Manjari Dissanayake		 source 12
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 US 2024 Comparison of Standard Log-Rank Test with Selected Alternatives Elena Valkanova,
Bulat Fatykhov		 source
poster source		 18
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 Recent Developments in Survival Analysis with SAS Software G. Gordon Brown source 9
SGF 2020 Testing Hypotheses for Equivalence and Non-inferiority with Binary and Survival Outcomes Joseph C. Gardiner source 23
MWSUG 2019 Surviving Survival Analysis 101: Making the Likelihood Ratio Test Easier Using a Macro Katelyn Ware,
Rachel Baxter		 13
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
MWSUG 2018 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson 37
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
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 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 20
WUSS 2016 Introduction to Survival Analysis in SAS Leanne Goldstein,
Rebecca Ottesen		 source 19
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
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
WUSS 2013 Survival 101 - Just Learning to Survive Leanne Goldstein,
Rebecca Ottesen		 source 24
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
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
NESUG 2012 Building a Predictive Model for 30-Day Inpatient Readmission Using PROC PHREG Klaus Lemke 13
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund 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 Using SAS to Assess and Model Time-to-Event Data with Non-Proportional Hazards Michael G. Wilson 24
SGF 2010 Analysis of Survival Data with Recurrent Events Using SAS Rena Jie Sun,
Daniel T. Cotton		 source 8
SESUG 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
WUSS 2009 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
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
SGF 2008 Advanced Statistical and Graphical features of SAS PHREG Lida Gharibvand,
George C. J. Fernandez		 source 12
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
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
SUGI 2003 Beyond PROC LIFETEST: Alternative Linear Rank Tests for Comparing Survival Distribution Alan B. Cantor source 4
SEUGI 2002 A SAS and Java Application for Reporting Clinical Trial Data [presentation] Kevin Kane source 31
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
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
SUGI 1989 An Evaluation of Residuals for the Cox Model William E. Barlow,
Shan-Pin Fanchiang		 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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