I am working on the book Causal Inference (Chapman & Hall/CRC, 2010) with my colleague Jamie Robins.
The book provides a cohesive presentation of concepts of, and methods for, causal inference. Much of this material is currently scattered across journals in several disciplines or confined to technical articles. We expect that the book will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, other social scientists... The book is geared towards graduate students and practitioners.
We have divided the book in 3 parts of increasing difficulty: causal inference without models, causal inference with models, and causal inference from complex longitudinal data. We will make drafts of selected book sections available in this website. The idea is that interested readers can submit suggestions or criticisms before the book is published.
Click here for a draft of the first 7 chapters. Please email me if you wish to share any comments.
We thank Tyler VanderWeele for helpful comments. The following people have also helped us improve the book: Kafui Adjaye-Gbewonyo, Katherine Almendinger, Juan José Beunza, Shan Cai, Dominik Hangartner, Laura Khan, Dae Hyun Kim, Lauren Kunz, Martín Lajous, Angeliki Lambrou, Giovanni M. Marchetti, Lauren McCarl, Ibironke Olofin, Jeremy Pertman, Melinda Power, Brian Sauer, Mohammad Tavakkoli, and Sarah Taubman. Roger Logan is our LaTex wizard. Rob Calver is our very supportive editor.