Program - TRACK A: Designing Transparent and Reproducible Real-World Drug Studies (Beginners/Intermediate)

TRACK A: Designing Transparent and Reproducible Real-World Drug Studies (Beginners/Intermediate)

Tracks

Track 1

Friday, October 30, 2026

9:00 - 10:30

CLS1

Details

This track introduces core pharmacoepidemiologic study designs and the strengths and limitations of major real-world data sources. With a focus on transparency, reproducibility, and emerging AI-assisted approaches, participants will gain hands-on skills in prompt engineering for protocol development, statistical analysis in SAS and R, and effective data visualization for pharmacoepidemiologic research. Track A is coordinated by Assistant Professor Celine Chui and Assistant Professor Krishna Undela.