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hazard function

138 papers; 131 titles.

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Conference × Year × Title × Authors Extras Pages
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 Conducting Survival Analysis in SAS using Medicare Claims as a Real-world data source Jayanth Iyengar source 32
PharmaSUG 2025 Incorporating Frailty into Time-to-Event Analysis: A Practical Approach with R frailtypack Sunil Kumar Pusarla,
Avani Reddy Alla
source 9
PHUSE EU 2024 A Tutorial for JFM Analysis in SAS for Modelling Recurrent Events and Death Edyta Winciorek source
presentation source
9
PharmaSUG 2024 Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research Vadym Kalinichenko source 11
SESUG 2023 Sampling by Reversing The Landmarking Process Cheng Lee source 10
PHUSE EU 2021 An overview of regression approaches for the competing risks data Oksana Mykhailova,
Julia Ditkovska
source
video
presentation source
6
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
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 Surviving the Cox Proportional Hazards Model with the POWER Procedure Rachel R. Baxter source 6
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
SESUG 2019 Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations Censored Observations source 9
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 macro of evaluating the performance of the log-rank test using different weight for enrichment studies Chuanwu Zhang,
Byron J. Gajewski,
Jianghua(Wendy) He
source 13
PharmaSUG 2019 A SAS Macro to Provide Survival Functions along with Cox Regression Model Efficiently Chia-Ling (Ally) Wu source 6
PharmaSUG 2019 Sample Size Determination with SAS Studio Bill Coar source 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
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
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
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
PHUSE US 2018 Interim Survival Analysis Across 3 Platforms Venita DePuy source
presentation source
22
PharmaSUG 2018 Application of Survival Analysis in Multiple Events Using SAS Jane Lu,
David Shen
source 9
SGF 2018 Cause-Specific Analysis of Competing Risks Using the PHREG Procedure Changbin Guo source 18
SGF 2018 Examining the Drivers of Hospital Re-admission of Type-2 Diabetic patients Shashank Reddy Gudipati source 9
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
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 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
SGF 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez,
Phil Gibbs
source 19
SESUG 2016 Surviving the Interim: Insights Into Interim Survival Analyses Venita DePuy source 31
MWSUG 2016 Use Multi-Stage Model to Target the Most Valuable Customers Chao Xu,
Jing Ren,
Hongying Yang
10
WUSS 2016 Short Introduction to Reliability Engineering and PROC RELIABILITY to Non-Engineers Danny Rithy source 7
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 Competing-Risks Analyses: An Overview of Regression Models Joseph C. Gardiner source 22
SGF 2016 Customer Lifetime Value Modeling Vadim Pliner source
presentation
4
SGF 2016 Survival Analysis of the Patients Diagnosed with Non-Small Cell Lung Cancer Using SAS Enterprise Miner 13.1 Raja Rajeswari Veggalam,
Akansha Gupta,
Goutam Chakraborty
source 11
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 Using the PHREG Procedure to Analyze Competing-Risks Data Ying C. So source 9
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen
source 13
PharmaSUG 2014 Techniques of Preparing Datasets for Visualizing Clinical Adverse Events Amos Shu,
Qinghua (Kathy) Chen
source 8
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
WUSS 2013 How to Compute Custom Hazard Ratio in SAS (V8.2&V9.2) PHREG Procedure Liguo Cheng,
Yu Li
source 8
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 Implementation of Breast Cancer Risk Assessment Tool using SAS Yuqin Li,
Lihua Chen,
Xiaohai Wan,
Alan Chiang
source 8
SGF 2013 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson source 36
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
PHUSE EU 2012 A Supplement to the SAS Survival Guide - Nonparametric Regression Karl-Ernst Siegler source
presentation source
8
PHUSE EU 2012 East6: Software for Designing, Simulating and Monitoring Group Sequential Trials Hrishikesh Kulkarni,
Sheetal Solanki
source
presentation source
12
SGF 2012 A Simple Way to Program Power Calculations Robert Lew,
Hongsheng Wu
source 16
SGF 2012 Analyzing Survival Data with Competing Risks Using SAS Software Guixian Lin,
Ying C. So,
Gordon Johnston
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 Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner Sascha Schubert,
Susan Haller,
Taiyeong Lee
source 15
SGF 2012 Modeling Heavy-Tailed Distributions in Healthcare Utilization by Parametric and Bayesian Methods Joseph C. Gardiner source 15
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
NESUG 2011 Implementing a Customer Lifetime Value Framework in SAS Krishna Mehta 8
PharmaSUG 2011 Caution: Hazards Crossing! Using the Renyi Test Statistic in Survival Analysis Matthew Davis,
Sharon X. Xie
source 9
SGF 2011 An Introduction to Survival Analysis Using Complex Sample Survey Data Patricia A. Berglund source 20
WUSS 2010 Clinical Graphs using ODS Graphics Sanjay N. Matange source 25
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 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
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
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 Developing Business Failure Prediction Models Using SAS Software Oki Kim source 10
SGF 2009 Analysis of Survival Data with Clustered Events Lida Gharibvand,
Lei Liu
source 11
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
PHUSE EU 2008 A gentle introduction to Survival Analysis Martin Scottt,
Angelo Tinazzi
source 13
PharmaSUG 2008 Sample Size Estimation for Trials of Recurrent Events Kuolung Hu 8
SGF 2008 Advanced Statistical and Graphical features of SAS PHREG Lida Gharibvand,
George C. J. Fernandez
source 12
SESUG 2007 Data Mining Episode Groupers Patricia B. Cerrito source 13
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
MWSUG 2006 Checking Assumptions in the Cox Proportional Hazards Regression Model Brenda W Gillespie 70
WUSS 2006 Get the Correct Hazard Ratio from SAS PROC PHREG Procedure Betty Ying Wang source 7
SUGI 2006 An Application of Survival Analysis to Population Dynamics in Human Capital Management Martin B. Jetton,
Robert Yerex
source 9
SUGI 2006 Fixed Effects Regression Methods in SAS Paul D. Allison source 20
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
NESUG 2005 Predictive Modeling Using Survival Analysis Vadim Pliner 10
SUGI 2005 Customizing ODS Statistical Graphics Shi-Tao Yeh source 17
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
PharmaSUG 2004 Statistical Simulations for Sample Size Calculation with PROC IML Izabella Peszek 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
PharmaSUG 2003 Using SAS software for Multilevel Models in Survival Analysis Gisela Tunes da Silva 4
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
SUGI 2002 Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS Junxiang Lu source 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
NESUG 2000 Applying Survival Analysis Techniques to Loan Terminations for HUD's Reverse Mortgage Insurance Program - HECM Ming H. Chow 8
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 2000 Calculating the Probability of Hospitalization as a Function of Time, An Application of Cox's Proportional Hazards Modeling Tyler C. Smith source 5
WUSS 1999 Calculating the Probability of Hospitalization as a Function of Time Using the SAS System's PROC PHREG Tyler C. Smith source 5
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
SEUGI 1998 Survival analysis models in health care and their use for predictions of mortality Jifi Vondracek,
Keith Binks,
Krystof Eben
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 Skaff and Jeff A. Sloan Design and Analysis of Equivalence Clinical T rials V ia the SAS System Pamela J. Atherton source 7
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 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
SESUG 1996 sl4tistia Dale Preston 7
SEUGI 1995 A Survival Analysis on Critical Components of Nuclear Power Plants Valerie Durbec source 9
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 1994 Nonparametric Estimation of the Hazard Rate Statistical Methods, Examples and Software (un)availability Olaf Gefeller source 8
NESUG 1993 Survial Data Analysis - Life Table Methods Wei Zhang 10
MWSUG 1993 Designing Bank Warning System Based on Logit Model Fitted to Multi-Period Performance Data Sameer Kumar,
Sant R. Arora
10
SUGI 1992 Proportional Hazards Analysis of Left-truncated Survival Data Dennis Heisey source 6
SEUGI 1991 SAS/IML Modules for Kernel Estimation of the Hazard Function from Censored Data Olaf Gefellar source 7
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 1986 Verifying Assumptions of the Cox Proportional Hazards Model Frank E. Harrell Jr.,
Kerry L. Lee
source 6
SEUGI 1984 New Statistical Features in SAS Gerhard Held source 13
SUGI 1982 Weibull Regression and Hazard Estimation Jan M. Hanley,
William H. Rogers
source 11

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