References

The material for this course draws from the following list of excellent resources.

Required references (download these!):

• Causal Inference in Statistics: A Primer, by Judea Pearl, Madelyn Glymour, and Nicholas P. Jewell. PDF freely available online. (Referred to as “PRIMER”.)
• Causal Inference: What If, by Miguel A. Hernán and James M. Robins. PDF freely available online. (Referred to as “WHATIF”.)

Other materials:

• The Book of Why: The New Science of Cause and Effect, by Judea Pearl and Dana Mackenzie (Amazon)
• Causality: Models, Reasoning, and Inference, by Judea Pearl (available as an eBook through Macalester’s libarary)
• Materials from the course, Causal Inference in Medicine and Public Health, taught by Elizabeth Stuart at JHSPH
• edX course: Causal Diagrams: Draw Your Assumptions Before Your Conclusions
• Udemy course: Causal Data Science with Directed Acyclic Graphs