Causal Inference

The whole business of how we can use statistics to decide if something is caused by something else is crucially important to science, whether it's about the impact of a vaccine or deciding whether or not a spray of particles in the Large Hadron Collider has been caused by the decay of a Higgs boson.......more

Another solid introduction to applied statistics and the crucial role of understanding the data underlying statistical tests. Rosenbaum skillfully presents real-world cases where causal inferences and statistical testing have been developed or utilized to make tangible impacts on our daily lives. The......more

Short enjoyable and mostly accessible read about the challenges of drawing conclusions about causality, substantiated by practical examples. Rightly, the book stresses the importance of randomization in causal inference. Whether it is not practical to achieve complete randomization in observational......more

I wrote a review here: [URL not allowed]-pr... Too long to fit in in here.......more