| PharmaSUG |
2026 |
Creating Reproducible Clinical Output with SASSY - Reporter Package |
Vicky Yuan |
source |
16 |
| PHUSE US |
2025 |
Navigating the Complexities of AESI: A Centralised Approach to Molecule-Level Management |
Tian Fang, Xiaojing Zhu |
source presentation source |
7 |
| PHUSE US |
2023 |
Connecting Tables, Listings and Figures [presentation] |
Stella Guo |
source video |
11 |
| PHUSE US |
2020 |
Volcano Plot: Demystifying Why and How |
Chandana Sudini, Jyothi Nelakurthi |
source presentation source |
9 |
| PHUSE US |
2018 |
Drug-Induced Liver Injury (DILI) Classification Using FDA-Approved Drug Labeling and FAERS Data - FDA |
Qais Hatim |
source presentation source |
31 |
| PharmaSUG |
2014 |
Common and Comparative Incidence Indicators of Adverse Events for Well-Defined Study Pools |
John R. Gerlach |
source |
7 |
| PHUSE EU |
2008 |
Statistically guided review of safety data in clinical trials |
Michael O'Connell, Harry Southworth |
source |
12 |
| PharmaSUG |
2008 |
Labor-Saving SQL Constructs |
Brian P. Fairfield-Carter, David W. Carr |
|
11 |
| SGF |
2008 |
Labor-Saving SQL Constructs |
Brian P. Fairfield-Carter, David W. Carr |
source |
10 |
| PHUSE EU |
2007 |
Bayesian Modelling with SPLUS and the S+flex Bayes library |
Andrew Jack, Dawn Woodard |
source |
11 |
| PharmaSUG |
2007 |
Can Coding MedDRA and WHO Drug Be as Easy as a Google Search? |
Sy J. Truong |
|
9 |
| SGF |
2007 |
Can Coding MedDRA and WHO Drug Be as Easy as a Google Search? |
Sy J. Li, Na Truong |
source |
9 |
| PharmaSUG |
1998 |
SAS Techniques for Developing an Intranet Drug Safety Review System |
Dennis X. Tang, Mickey Cheng |
|
10 |
| PharmaSUG |
1997 |
Adverse Events Summary Tables in Clinical Trials: Incorporating P-values Using SAS Macros and SAS/AF |
Incorporating P-values |
|
10 |
| SEUGI |
1990 |
A SAS Software Based Clinical Trials Data Management System Used at Hoffmann-La Roche |
Mark Aellen-Rumo, M. Rainisio |
source |
13 |