| 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 |
| PHUSE US |
2025 |
Differential Privacy (DP) Approach for Sharing Survival Analysis Data |
Elena Valkanova,
Bulat Fatykhov |
source
poster source |
11 |
| PharmaSUG |
2023 |
Generating Clinical Graphs in SAS and R - A Comparison of the Two Languages |
Kriss Harris,
Endri Elnadav |
source |
48 |
| 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 |
| 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 |
| PharmaSUG |
2019 |
Framework for German Dossier Submissions |
Kriss Harris |
source |
8 |
| SGF |
2019 |
Framework for German Dossier Submissions |
Kriss Harris |
source |
9 |
| PHUSE EU |
2018 |
Forest Plots in Survival Subgroup Analyses |
Michael Brockmann,
Julia Benzing |
source
presentation source |
11 |
| 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 |
| 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 |
| PharmaSUG CN |
2015 |
Why Statistical Analysis Plan (SAP) should be comprehensive. |
Riddhi Merchant,
Ranjith Prayankotveettil |
|
6 |
| PHUSE EU |
2014 |
Evaluating the Tradeoff between Quality of Life through Quality-Adjusted Survival Analysis |
Lawrence Rasouliyan |
source
presentation source |
12 |
| PHUSE EU |
2013 |
Oncology Endpoints: An Unexpected Journey |
Waseem Jugon,
Mijanur Rahman |
source |
12 |
| SGF |
2012 |
SAS Tools for Cost-Effective and High-Quality Clinical Trial Reporting |
Paul J. Novotny,
Angelina Tan,
Nathan R. Foster,
Jeff A. Sloan |
source |
10 |
| 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 |
| SGF |
2011 |
Matching-Adjusted Indirect Comparison Analysis Using Common SAS 9.2 Procedures |
Elisabetta Malangone,
Steven Sherman |
source |
6 |
| PHUSE EU |
2008 |
A gentle introduction to Survival Analysis |
Martin Scottt,
Angelo Tinazzi |
source |
13 |
| PharmaSUG |
2006 |
Sample Size Calculation and Timeline Estimate for Progression-Free Survival |
Chung-Kuei Chang |
|
10 |
| NESUG |
2005 |
A Painless Approach to Convert SAS Statistical Outputs to Presentations |
Hongwei Zhang |
|
3 |
| NESUG |
2002 |
Graphical Presentation of Survival Analysis |
Joanne C. Zhou |
|
5 |
| WUSS |
2002 |
Perform Survival Analysis for Clinical Trials Using ODS |
Wei Cheng |
source |
5 |
| SUGI |
1992 |
Do We Always Need Clinical Stratification in Multicenter Clinical Trials? Results of a Simulation Study |
Roland Brandmaier,
U. Aydemir,
H. Ansari,
J. Hasford |
source |
6 |
| SEUGI |
1986 |
Survival Analysis in the SAS System A Survey |
E. Meisinger,
M. Strauch,
N. Gretz |
source |
8 |
| SUGI |
1985 |
SURVCOMP-SAS MACRO for Descriptive Survival Analysis |
Jeannette Y. Lee,
J. Michael White |
source |
8 |
| SUGI |
1984 |
SAS Macros for Sample Size and Power Calculations |
Erik J. Bergstralh |
source |
6 |
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