Methodologies for Designing Robust ECAs to Enhance the Quality & Reliability of ECA Studies
Time: 11:00 am
day: Conference Day Two
Details:
- Explore best practices for selecting appropriate external control populations, ensuring that data sources are comparable, and the methodology is robust for reliable outcomes
- Addressing potential biases and confounding factors in ECA design through statistical techniques, matching methods, and sensitivity analyses to improve study validity
- Key strategies for ensuring the reproducibility and generalizability of ECA results, including careful consideration of data quality, external validity, and regulatory acceptance
