| 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 |
2024 |
Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research |
Vadym Kalinichenko |
source |
11 |
| PHUSE US |
2024 |
Comparison of Standard Log-Rank Test with Selected Alternatives |
Elena Valkanova, Bulat Fatykhov |
source poster source |
18 |
| PHUSE US |
2023 |
Parametric Event-prediction for Time-to-event Data in Clinical Trials [presentation] |
Jingyuan Chen, Weijie Zhang |
source video |
22 |
| PHUSE US |
2021 |
Automated Validation of Clinical Trial Analysis and Reporting Deliverables Using 'testthat' [presentation] |
Amin Shirazi, Jane X. Liao |
source video |
35 |
| 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 |
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 |
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 |
| PHUSE US |
2020 |
CDISC's ADTTE Domain: Time-to-Event Analysis From a Programmer's Point of View |
Frieder Wolff, Vitali Gering |
source poster source |
8 |
| SESUG |
2019 |
Generalized Linear Mixed Model Approach to Time-to-Event Data with Censored Observations |
Censored Observations |
source |
9 |
| PharmaSUG |
2019 |
A SAS Macro to Provide Survival Functions along with Cox Regression Model Efficiently |
Chia-Ling (Ally) Wu |
source |
6 |
| PHUSE US |
2019 |
Dashboarding Analytics for Oncology Endpoint Data Using SAS |
Vidya Muthukumar |
source presentation source |
7 |
| PHUSE EU |
2018 |
Methods for Survival Analysis with Competing Risks |
Laura Marquis, Leonie Wagner |
source presentation source |
8 |
| MWSUG |
2018 |
A Macro to Calculate Sample Size for Studies Using the Proportional Time Assumption |
Brian Mosier, John Keighley, Milind Phadnis |
|
7 |
| SGF |
2018 |
Cause-Specific Analysis of Competing Risks Using the PHREG Procedure |
Changbin Guo |
source |
18 |
| 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 |
The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros |
Jeffrey P. Meyers |
source |
21 |
| MWSUG |
2016 |
Use Multi-Stage Model to Target the Most Valuable Customers |
Chao Xu, Jing Ren, Hongying Yang |
|
10 |
| SGF |
2016 |
Competing-Risks Analyses: An Overview of Regression Models |
Joseph C. Gardiner |
source |
22 |
| 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 |
| PharmaSUG |
2015 |
%PIC_NPMLE: A SAS Macro For Nonparametric Estimation In Partly Interval-Censored Survival Data |
Liang Zhu, Yimei Li, Qinlei Huang |
source |
12 |
| 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 |
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 |
| PHUSE EU |
2014 |
Evaluating the Tradeoff between Quality of Life through Quality-Adjusted Survival Analysis |
Lawrence Rasouliyan |
source presentation source |
12 |
| 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 |
Analyzing Interval-Censored Data with the ICLIFETEST Procedure |
Changbin Guo, Ying C. So, Gordon Johnston |
source |
16 |
| SESUG |
2013 |
KAPLAN-MEIER ANALYSIS: A PRACTICAL GUIDE FOR PROGRAMMERS |
Madhi Saranadasa |
source |
7 |
| SESUG |
2013 |
Lost in Translation: A Statistician's (Basic) Perspective of PROC LIFETEST |
Alexandra Buck |
source |
7 |
| PHUSE EU |
2013 |
A SAS Macro to Generate High Quality Enhanced Kaplan-Meier Plots Using Graphic Template Language [presentation] |
Konrad Zywno, Bartosz Kutyła |
source |
27 |
| PHUSE EU |
2013 |
Extensions of Cox Model for Non-Proportional Hazards Purpose |
Jadwiga Borucka |
source presentation source |
10 |
| PHUSE EU |
2013 |
Generic Functions in R Illustrated by Examples for the Survival Package [presentation] |
Martin Gregory |
source |
24 |
| SGF |
2013 |
Using the QUANTLIFE Procedure for Survival Analysis |
Bob Rodriguez, Guixian Lin |
source |
13 |
| SCSUG |
2012 |
Net Present Value Model Approach |
Jingjing Qu |
source |
7 |
| SGF |
2012 |
Analyzing Survival Data with Competing Risks Using SAS Software |
Guixian Lin, Ying C. So, Gordon Johnston |
source |
8 |
| 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 |
| PharmaSUG |
2011 |
A Programmer's Introduction to Survival Analysis Using Kaplan Meier Methods |
John Ventre, Lisa Fine |
source |
8 |
| 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 |
| SGF |
2010 |
Adding Statistical Functionality to the DATA Step with PROC FCMP |
Stacey M. Christian, Jacques Rioux |
source zip |
13 |
| SGF |
2010 |
Analysis of Survival Data with Recurrent Events Using SAS |
Rena Jie Sun, Daniel T. Cotton |
source |
8 |
| SGF |
2010 |
Analyzing Interval-Censored Survival Data with SAS |
Ying C. So, Gordon Johnston |
source |
14 |
| SGF |
2010 |
Survival Analysis: Overview of Parametric, Nonparametric, and Semiparametric Approaches and New Developments |
Joseph C. Gardiner |
source |
23 |
| SESUG |
2009 |
Imputation for Censored Observations in Survival Studies Allowing for a Positive Cure Rate |
Alan B. Cantor |
source |
6 |
| WUSS |
2009 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| SGF |
2009 |
Analysis of Survival Data with Clustered Events |
Lida Gharibvand, Lei Liu |
source |
11 |
| 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 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| WUSS |
2008 |
Surviving Left Truncation Using PROC PHREG |
Aimee Foreman, Ginny Lai, Dave P. Miller |
source |
8 |
| MWSUG |
2008 |
Survival Methods for Correlated Time-to-Event Data |
James Bena, Shannon McIntyre |
|
3 |
| PharmaSUG |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
|
34 |
| 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 |
| PharmaSUG |
2007 |
%SurvTab: A SAS Macro to Make Survival Analysis Easier |
Yinmei Zhou, St. Jude Children's |
|
15 |
| SGF |
2007 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| WUSS |
2006 |
Get the Correct Hazard Ratio from SAS PROC PHREG Procedure |
Betty Ying Wang |
source |
7 |
| NESUG |
2006 |
Using the time dependent ROC curve to build better survival model in SAS |
Li Lu, Chenwei Liu |
|
6 |
| SUGI |
2006 |
An Application of Survival Analysis to Population Dynamics in Human Capital Management |
Martin B. Jetton, Robert Yerex |
source |
9 |
| SUGI |
2006 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
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 |
| WUSS |
2005 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| NESUG |
2005 |
Predictive Modeling Using Survival Analysis |
Vadim Pliner |
|
10 |
| SUGI |
2005 |
SAS 8 Is Seen in the Rearview Mirror: Generate Statistical Graphics Using ODS in SAS9 |
Wei Cheng |
source |
10 |
| WUSS |
2004 |
Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis |
Tyler C. Smith, Besa Smith |
source |
14 |
| WUSS |
2004 |
V8 is seen in rearview mirror - generate statistical graphics using ODS in SAS? 9 |
Wei Cheng |
source |
11 |
| 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 |
| 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 |
| NESUG |
1998 |
A Simulation Study of Estimators In Stratified Proportional Hazard Models |
Hsi-Wen Liao |
|
8 |
| 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 |
| 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 |
| NESUG |
1994 |
How to Survive PROC LIFETEST |
Peter P. Gaccione |
|
10 |
| SUGI |
1994 |
An Application of SAS Procedure In Evaluation of Drug Effect Estimation of Mean Residual Lifetime |
Jianli Li |
source |
6 |
| NESUG |
1993 |
Survial Data Analysis - Life Table Methods |
Wei Zhang |
|
10 |
| SCSUG |
1993 |
Survival Analysis with SAS LIFETEST and PHREG Procedures |
Zhongmin Li |
|
10 |