Ryan Stidham

A causal machine learning framework for treatment personalization in clinical trials: application to ulcerative colitis

Randomized controlled trials estimate average treatment effects, but treatment-response heterogeneity motivates personalized approaches that identify which patients benefit most from specific interventions. Causal machine learning methods offer a principled framework for estimati...