| PharmaSUG |
2024 |
iCSR: A Wormhole to Interactive Data Exploration Universe |
Sudhir Kedare,
Steve Wade,
Chen Yang,
Matthew Travell |
source |
7 |
| PharmaSUG |
2024 |
inspectoR: QC in R? No Problem! |
Steve Wade,
Sudhir Kedare,
Chen Yang,
Matthew Travell |
source |
7 |
| PharmaSUG |
2024 |
Interactive Data Analysis and Exploration with composR: See the Forest AND the Trees |
Steve Wade,
Sudhir Kedare,
Matthew Travell,
Chen Yang |
source |
7 |
| PharmaSUG |
2024 |
Shift gears with "gt": Finely tuned clinical reporting in R using "gt" and "gt summary" packages |
Rajprakash Chennamaneni,
Sudhir Kedare |
source |
6 |
| PharmaSUG |
2023 |
A case study of a successful RTOR submission and approval for Rylaze |
Sudhir Kedare,
Dilip Nalla,
Kumud Kanneganti |
source |
6 |
| PharmaSUG |
2023 |
Making Multilingual Programmers - A Targeted Approach to R for Clinical Trials Training |
Ashley Tarasiewicz |
source |
5 |
| PharmaSUG |
2023 |
The implementation of Scrum in Pharmaceutical Data Analytics and Statistical Programming |
Eliana D'Angelo |
source |
7 |
| PharmaSUG |
2014 |
A SAS Macro Utility to Modify and Validate RTF Outputs for Regional Analyses |
Joshua N. Winters |
source |
5 |
| PharmaSUG |
2014 |
Clinical Data Dashboards for Centralized Monitoring Using SAS and Microsoft SharePoint |
|
source |
9 |
| PharmaSUG |
2014 |
Monitoring Quality, Time and Costs of Clinical Trial Programming Projects using SAS |
|
source |
4 |
| SCSUG |
2013 |
Clinical Data Dashboards for Centralized Monitoring Using SAS and Microsoft SharePoint |
Randy Rak |
source |
9 |
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