References

Required references

• 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”.)

References for review

• STAT 155 Notes: An online set of notes for STAT 155 written by the Macalester statistics faculty.
• Probability Essentials: A YouTube video outlining some key ideas from probability that we will use in this course.
• This article by Eleanor Murray has a great explanation of the most common misinterpretation of confidence intervals.

Further exploration

• 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 library)
• edX course: Causal Diagrams: Draw Your Assumptions Before Your Conclusions
• Udemy course: Causal Data Science with Directed Acyclic Graphs