Causal Inference, Instrumental Variables, Stats 361, Stanford, Data Science.
textbook covered various topics of causal inference from basics (e.g. RCT, propensity score/IPW, RDD) to relatively new methodologies (e.g. treating panel data, structural equation model, application to machine learning). Additionally, it was concise and detailed enough for us (data analysts and