Resources

Books

• (2000) Causality - Models, Reasoning and Inference. J. Pearl.
• (2010) Causal Inference - What If. M. A. Hernán, J. M. Robins.
• (2017) Elements of Causal Inference - Foundations and Learning Algorithms. J. Peters, D. Janzing, B. Schölkopf.

Misc.

• (2009) Causal inference in statistics: An overview. J. Pearl
• (2019) Causality for Machine Learning. B. Schölkopf. [paper]
• (2023) Statistical Rethinking Course, R. McElreath. [slides, YouTube]
• (2021) Causal Inference: An overview. A. Deng. [repo]
• (2022) Causal Inference for the Brave and True. M. Facure. [repo]

Videos

• (2019) MIT Lectures on Causal Inference for Healthcare. [YouTube]
• (2017) Lectures on Causality series, J. Peters. [YouTube]
• (2015) Towards Causal Machine Learning, B. Schölkopf. [YouTube]

Software packages

Some Python packages to help you do causal inference are listed and discussed here.