Causal Inference for Statistics, Social, and Biomedical Sciences - Guido W. Imbens

In this groundbreaking text, two world-renowned experts present statistical methods for studying causal effects: how can we learn about the expected effect of an intervention or a change in environment? The authors discuss how we can assess such effects in simple randomized experiments, where the researcher controls the treatments, and in observational studies, where the subjects themselves may affect which treatment they receive.