Machine Learning, Causal Inference, Programming, Data Science.
analysis, and help us understand why a result changed. They can translate supervised learning algorithms into CATE estimators, and help us better understand the predictive results. Reference: Künzel, Sören R. et al. “Metalearners for Estimating Heterogeneous Treatment Effects Using Machine