The discussion this morning contained references to numerous causal inference resources and the obvious thing to do is share them all in one place, so this is that topic!
Since “The Book of Why” is not available online and the style is also a bit different (less methodical), I will add “Regression and Other Stories”. https://avehtari.github.io/ROS-Examples/
Still under development, but, this website thinkCausal has interactive tutorials on causal effects and methods. Super helpful!!. I came across this on an episode with Jeniffer Hill on SuperDataScience
Just saw this post on LinkedIn about a book that will be available in 2023, both in print and free online. If we fill in with a few other chapters from other books, this book might be interesting to cover when it comes out.
Causal Analysis: Impact Evaluation and Causal Machine Learning with Applications in R by Martin Huber