| PharmaSUG |
2026 |
Assessing Quality of Real-World Data Sources |
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source |
4 |
| PharmaSUG |
2026 |
Three Ways to Over-Engineer Your SAS Custom Steps |
Mary Dolegowski |
source |
9 |
| PHUSE US |
2026 |
You Can't Just Cut the Gordian Knot: Approaches to Real-World Data Quality |
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source presentation source |
4 |
| PharmaSUG |
2025 |
You don-t have to handle the truth! Three Things to Know about Synthetic Data |
Catherine Briggs, Sundaresh Sankaran |
source |
7 |
| PharmaSUG |
2024 |
Applications of Machine Learning and Artificial Intelligence in Real World Data in Personalized Medicine for Non-Small Cell Lung Cancer Patients |
Sherrine Eid, Samiul Haque |
source |
8 |
| PharmaSUG |
2024 |
Win a PS5! How to Run and Compare Propensity Score Matching Performance Across Multiple Algorithms in Five Minutes or Less |
Catherine Briggs, Sherrine Eid, Samiul Haque |
source |
11 |
| PharmaSUG |
2023 |
Novel Applications of Real World Data in Clinical Trial Operations: Clinical Trial Feasibility |
Sherrine Eid, Samiul Haque |
source |
13 |
| PharmaSUG |
2023 |
Novel Applications of Real World Data in Clinical Trials: External Control Arms |
Sherrine Eid, Samiul Haque |
source |
6 |
| PHUSE US |
2023 |
Leveraging Big Data in Real-World Evidence Generation: Data Engineering Challenges and Possibilities |
Samiul Haque |
source presentation source |
6 |
| PharmaSUG |
2022 |
Generating Real World Evidence On The Likelihood Of Metastatic Cancer In Patients Through Machine Learning In Observational Research: Insights For Prevention |
Sherrine Eid, Samiul Haque |
source |
8 |
| PHUSE EU |
2016 |
The Playbook: Real-world Data to Real-world Intelligence |
Laurie Rose |
source presentation source |
7 |
| PharmaSUG |
2015 |
Patient Profiles and SAS Visual Analytics |
Pritesh Desai |
source |
9 |