TEHReview
Review: Data-driven methodology for detecting treatment effect heterogeneity
Collaboration: UCL MRC-CTU and the Alan Turing Institute
Interest:
- Test for the presence of differential effects
- Identify subgroups that represent varied responses to treatment
- Estimate the effects for the determined patient subpopulations
- Characterise such subpopulations
Task: Comprehensive Simulation Study
Themes:
- Tree based methods
- Non tree based methods
- Metalearners
