Abstract：
The course introduces the foundation in modern statistical thinking regarding causal inference. The first part (I and II of the book) introduces the concepts and discusses classical randomized experiment. The second part (sections III and IV of the book) discusses causal inference using observational data. In Part III we assume that the assignment mechanism is “regular” in a well-defined sense and discuss what is called the “design” phase of an observational study. In Part IV we discuss data analysis for studies with regular assignment mechanisms. Here we consider matching and sub-classification procedures, as well as model-based and weighting methods.
Book:
Imbens Guido W. and Donald B. Rubin, Causal inference in statistics, social, and biomedical sciences, Cambridge University Press (Parts I,II III, IV and V).
