Data Science, Causal Inference, Machine Learning, Optimization, Notes From Industry.
summary of how suitable each method is: Propensity score matching (PSM) — Treatment needs to be binary ❌ Inverse-propensity score matching (IPSM) — Treatment needs to be binary ❌ T-Learner — Treatment needs to be binary ❌ Double Machine Learning (DML) — Treatment effect is linear ❌ Doubly-Robust