Clinical trial statistics
Compare the arms of a public clinical trial with confidence intervals and hypothesis tests.
The brief
A medical affairs team must explain trial results to doctors accurately. Reanalyse a public trial: compare the arms on the main outcomes with the right tests and confidence intervals, check survival curves, and chart the results for a doctor audience. Good looks like: correct tests, effect sizes with uncertainty, survival analysis, and a plain-language summary.
What you will build
- Explore the trial arms and outcomes
- Check baseline balance
- Compare outcomes with appropriate tests
- Fit Kaplan–Meier curves and a log-rank test
- Write a one-page summary for doctors
Free, open data to build it with
- AIDS Clinical Trials Group Study 175 ↗ UCI Machine Learning Repository
Check each dataset's licence before you publish your work. Your mentor gives your team its own version of the brief (data, scope or region), so every team's project is its own.

