“The Data Analyst’s Guide to Cause and Effect”

Theiss Bendixen and Benjamin Grant Purzycki wrote this book. He writes: The website holds: – All data and code used in the book – Free sample chapters – Bonus material These aren’t quite the same methods for causal inference that I’m inclined to use (for my own approach, see chapters 18-21 of Regression and Other Stories), but their presentation is clear and has code, and it’s always good to see another perspective.