Potential outcomes, counterfactuals, causal effects, and randomization

Next week I'll be attending the third UK Causal Inference Meeting, in Bristol. Causal inference has seen a tremendous amount of methodological development over the last 20 years, and recently a number of books have been published on the topic. In advance of attending the conference, I've been reading through a draft of the excellent book by Miguel HernĂ¡n (who is giving a pre-conference course) and James Robins on 'Causal Inference' (freely downloadable here). So far I've found the book highly readable and intuitive. As I'm working through it, I thought I'd write some posts giving overviews of some of the material covered, which I personally find useful to help cement the ideas in my own mind, and possibly might be of use to others.

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