Resources

Books

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

Misc.

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

Videos

• Statistical rethinking lectures. R. McElreath. [playlist]
• MIT Lectures on Causal Inference for Healthcare. [video 1]
• Lectures on Causality series, J. Peters. [video 1]
• Towards Causal Machine Learning, B. Schölkopf. [lecture]

Software packages

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