| PharmaSUG |
2026 |
Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy |
Girish Kankipati,
Bala Rajesh Jakka |
source |
20 |
| PHUSE EU |
2025 |
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks |
Regina Stegherr,
Claudia Schmoor,
Jan Beyersmann,
Kaspar Rufibach,
Valentine Jehl,
Andreas Brückner,
Lewin Eisele,
Thomas Künzel,
Katrin Kupas,
Frank Langer,
Friedhelm Leverkus,
Anja Loos,
Christiane Norenberg,
Florian Voss,
Tim Friede |
source
poster source |
13 |
| PharmaSUG |
2025 |
Time to Event Analysis from Sample Size Considerations to Results Interpretation in Simple Words |
Iryna Kotenko |
source |
8 |
| PharmaSUG |
2024 |
Bayesian Methods in Survival Analysis: Enhancing Insights in Clinical Research |
Vadym Kalinichenko |
source |
11 |
| PHUSE EU |
2023 |
CDISC's ADTTE Domain: Time-to-Event Analysis From a Programmer's Point of View [poster] |
Vitali Gering,
Sophia Praeger |
source |
1 |
| 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 |
| 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 |
| PharmaSUG |
2019 |
Let's Flip: An Approach to Understand Median Follow-up by the Reverse Kaplan-Meier Estimator from a Programmer's Perspective |
Nikita Sathish,
Chia-Ling (Ally) Wu |
source |
5 |
| PHUSE EU |
2018 |
Methods for Survival Analysis with Competing Risks |
Laura Marquis,
Leonie Wagner |
source
presentation source |
8 |
| PharmaSUG |
2018 |
Statistician in my Soul. Statistical Questions from SPA |
Nadiia Hryhorenko |
source |
12 |
| SGF |
2018 |
Evaluating the Accuracy of Clinical Prediction Models for Binary and Survival Outcomes |
Joseph C. Gardiner |
source |
21 |
| SGF |
2018 |
Getting Started with Survival Analysis |
Marc Huber |
source |
76 |
| 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 |
Using the Kaplan-Meier Product-Limit Estimator to Adjust NFL Yardage Averages |
Keith G. Curtis |
source |
20 |
| SGF |
2015 |
A Set of SAS Macros for Generating Survival Analysis Reports for Lifetime Data with or without Competing Risks |
Zhen-Huan Hu |
source
zip |
6 |
| 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 |
| WUSS |
2004 |
Survival Analysis Using SAS Macros, ODS and SAS/GRAPH |
Natalia V. Udaltsova,
Irina V. Tolstykh,
Arthur L Klatsky |
source |
9 |
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