Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction Guido W. Imbens and Donald B. Rubin are an English-language textbook about statistical methods for causal inference in the social and biomedical sciences. The book is aimed at professionals who work with research into causal relationships.
This reference work covers the potential outcomes model and the core problems of causal inference. It discusses the use of randomization in experiments and then explores methods for observational data, such as matching, propensity-score techniques, and instrumental variables. Many practical examples from the biomedical sciences make the theoretical insights concrete.
The method is applicable to problems in statistics and biomedical sciences where the effect of interventions or changes is studied. This makes it an essential book for researchers who want to establish causality with statistical analyses.
Topics: causal inference, statistics, biomedical sciences, Probability and Statistics, matching, instrumental variables.