Causal Inference, Instrumental Variables, Stats 361, Stanford, Data Science.
variables Coding sample Reference 1. Introduction When we estimate average treatment effect (ATE) of a treatment/intervention, it is preferable to assume (or guarantee by randomly choosing samples) unconfoundedness. Unconfoundedness is the state where it does not have confounding factors between a