| PharmaSUG |
2026 |
Linear versus Log-Log Confidence Intervals for Kaplan-Meier Survival Estimates: Statistical Rationale and Practical Implementation using SAS 9.4 |
Prayag Shah |
source |
8 |
| PharmaSUG |
2026 |
Tipping Point Analysis: An Illustration of Sensitivity Analysis on Non-Administrative Censoring for Progression-Free Survival (PFS) |
Lihui Deng, Kylie Fan, Xiaoting Qin |
source |
7 |
| PHUSE US |
2026 |
Accelerating Study Insights: Agile Data Visualisation Using R-Shiny |
Lin Yuan, Heather Howell |
source presentation source |
6 |
| PHUSE US |
2026 |
From Data Cutoffs to Decision-Making: Programming Futility Analysis in Oncology Clinical Trials |
Mani Mudumba |
source presentation source |
6 |
| PHUSE US |
2026 |
Group, Collapse, Repeat: A Dynamic SAS Macro for Stratification Pooling in Oncology Efficacy Analysis |
Venkatesh Burla |
source presentation source |
9 |
| PharmaSUG |
2025 |
Deciphering Exposure-Response Analysis Datasets: A Programmer-s Perspective for Oncology Studies |
Sabarinath Sundaram |
source |
6 |
| PharmaSUG |
2025 |
Efficacy Endpoints Related to CNS in Oncology Studies within ADaM |
Lihui Deng, Kylie Fan |
source |
6 |
| PharmaSUG |
2025 |
Embracing an Extra Step as the Ultimate Shortcut: Leveraging ADDATES for Enhanced Efficiency and Traceability in Oncology Studies |
Chia-Lu Lee, Wanchian Chen, Anna Chen |
source |
6 |
| 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 |
| PharmaSUG |
2025 |
Roadmap to Efficacy Analysis for Early Phase Oncology studies |
Dhruv Bansal, Christiana Hawn, Chris Kelly |
source |
23 |
| PHUSE US |
2025 |
Dynamic Survival Model for Monitoring Resistance Mutations in Targeted Therapy: Advancing Precision Medicine in Oncology |
Hong Zheng |
source presentation source |
5 |
| PHUSE US |
2025 |
Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management |
Jaime Yan |
source presentation source |
28 |
| PHUSE US |
2025 |
Revolutionising Cancer Trials with Adaptive Designs and Bayesian Analysis |
Navneet Jha |
source presentation source |
11 |
| PHUSE US |
2025 |
Unravelling the Complexity: Efficacy Datasets in Oncology Basket Trials Across Multiple Diseases |
Venkatesh Burla, Manasa Ravi |
source presentation source |
7 |
| PharmaSUG |
2024 |
Oncology ADaM Datasets Creation Using R Programming: A Comprehensive Approach |
Ishwar Chouhan |
source |
29 |
| PharmaSUG |
2024 |
Programming Considerations in Deriving Progression-Free Survival on Next-Line Therapy (PFS2) |
Alec McConnell, Yun Peng |
source |
5 |
| PharmaSUG |
2023 |
ADaM Design and Programming Standardization for Oncology Efficacy Endpoints Based on RECIST 1.1 |
Ellen (Zihui) Lin, Matt Ness, Yinghui Wang |
source |
9 |
| PharmaSUG |
2023 |
Leverage and Enhance CDISC TAUGs to Build More Traceability for and Streamline Development of Efficacy ADaM in Oncology Studies |
Xiangchen (Bob) Cui |
source |
29 |
| PharmaSUG |
2023 |
Programmer-s Perspective: Step into Awareness Regarding Clinical Trial Deliverables and Their Impact |
Lyma Faroz, Jinit Mistry |
source |
10 |
| PharmaSUG |
2022 |
Derivation of Efficacy Endpoints by iRECIST Criteria: A Practical Approach |
Ilya Krivelevich, Lei Gao, Richard Kennan |
source |
9 |
| PharmaSUG |
2019 |
Jump Start your Oncology knowledge |
Xiaoyin Zhong, Feng Liu |
source |
9 |
| PharmaSUG |
2019 |
Useful SAS techniques in Efficacy Analysis for Oncology studies |
Joy Zeng |
source |
21 |
| PHUSE EU |
2018 |
Forest Plots in Survival Subgroup Analyses |
Michael Brockmann, Julia Benzing |
source presentation source |
11 |
| PHUSE US |
2018 |
Unleashing Potential of Graphs for Oncology Trials |
Manoj Pandey |
source presentation source |
12 |
| PharmaSUG |
2018 |
Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies |
Kelci J. Miclaus, Lili Li |
source |
12 |
| PHUSE EU |
2016 |
Considerations in the Use of Propensity Scoresin Observational Studies |
Lawrence Rasouliyan, Estel Plana |
source presentation source |
17 |
| SGF |
2015 |
Kaplan-Meier Survival Plotting Macro %NEWSURV |
Jeffrey P. Meyers |
source |
20 |
| MWSUG |
2014 |
Kaplan-Meier Survival Plotting Macro %NEWSURV |
Jeffrey P. Meyers |
|
20 |
| PharmaSUG |
2014 |
Kaplan-Meier Survival Plotting Macro %NEWSURV |
Jeffrey P. Meyers |
source |
19 |
| PharmaSUG |
2014 |
Standardization of Confidence Intervals in PFS Tables - a Macro Approach |
John Saida Shaik, Boxun Zhang |
source |
4 |
| PharmaSUG |
2012 |
Creating the Time to Event ADaM Dataset: The Nuts and Bolts |
Nancy Brucken, Paul K. Slagle |
source |
7 |
| PharmaSUG |
2006 |
Sample Size Calculation and Timeline Estimate for Progression-Free Survival |
Chung-Kuei Chang |
|
10 |