| PHUSE US |
2026 |
From Automation to Audit-Readiness-AI's Growing Role in Statistical Programming |
Manoj Kumar Maripally |
source presentation source |
4 |
| PHUSE US |
2025 |
Can AI/ML Drive Data Analysis and Data Mapping in Clinical Trials? |
Philip Ross, Revvity Signals |
source presentation source |
11 |
| MWSUG |
2024 |
Create Report with SAS Visual Analytics to Finish Your SAS Story [presentation] |
Shinya Kodama |
source |
25 |
| PHUSE EU |
2024 |
Leveraging 'Ensemble' Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission |
Venu Mallarapu |
source presentation source |
10 |
| PharmaSUG CN |
2024 |
Programming Activities of Conducting Data Masking in Open-Label Study |
Xinyun Gao |
source |
6 |
| PHUSE US |
2024 |
The Data Review Model - Recognising the Benefits of a Single Source of Truth Model for Data Review |
Priyank Patel |
source presentation source |
8 |
| PHUSE EU |
2018 |
AI-powered Xbiom 3.1 Smart Curation & Transformation of Data [presentation] |
Kurien Abraham, Nicolas Philippe |
source |
12 |
| PHUSE EU |
2018 |
Data Mapping using Machine Learning |
Daniel Choi |
source poster source |
3 |
| SGF |
2018 |
Data Visualization from SAS to Google Maps on Microsoft SharePoint |
Xiaogang Tang |
source |
13 |
| SGF |
2018 |
Enable Personal Data Governance for Sustainable Compliance |
Vincent Rejany |
source |
24 |
| SGF |
2018 |
There's No Reason to Hide! Discovering the Benefits of Using Hidden Columns in SAS Visual Analytics |
Michael Drutar |
source |
12 |
| PharmaSUG CN |
2015 |
Generic Macros for Data Mapping |
Qian Zhao, John Wang, Ruofei Hao |
|
9 |
| PharmaSUG |
2015 |
Generic Macros for Data Mapping |
Qian Zhao, Jun (John) Wang, Ruofei Hao |
source |
9 |
| SESUG |
2012 |
SAS Programming tips and techniques for Data Mapping |
Sheetal Nisal |
source |
7 |
| PharmaSUG |
2011 |
Ensuring Consistent Data Mapping Across SDTM-based Studies - a Data Warehouse Approach |
Annie S. Guo |
source |
12 |
| SGF |
2008 |
Practical Methods for Creating CDISC SDTM Data Sets from Existing Data |
Robert W. Graebner |
source |
11 |
| PharmaSUG |
2007 |
Strategies and Practical Considerations for Creating CDISC SDTM Domain Data Sets from Existing CDM Data Sets |
Robert W. Graebner |
|
12 |