Causal Machine Learning Methods for Estimating Personalised Treatment Effects -- Insights on validity from two large trials

Hongruyu Chen, Helena Aebersold, Milo Alan Puhan +1

Causal machine learning (ML) methods hold great promise for advancing precision medicine by estimating personalized treatment effects. However, their reliability remains largely un…