Causal Inference in Epidemiology

Preface

This will be an online book about causal inference.

Here are some other resources for learning causal inference:

UC Davis courses

• EPI 205 “Principles of Epidemiology”

• EPI 206 “Epidemiologic Study Design”

• EPI/SPH 207 “Advanced Epidemiologic Methodology”

• EPI 225 “Advanced Topics in Epidemiology Methods”

• POL 285 “Statistics of Causal Inference in Political Science”

• MGB/MGP/MGT 454A “Causal Inference and Statistical Experiments”

  • syllabus: https://webapps.aws.ucdavis.edu/public/documents/4861649/Syllabushttps://schedule.aws.ucdavis.edu/public/documents/5319910/Syllabus

• PSC 204B “Causal Modeling of Correlational Data”

• PSC 205C “Structural Equation Modeling”

Course search options:

• https://schedule.aws.ucdavis.edu/courseScheduling
• https://catalog.ucdavis.edu/course-search/
• https://catalog.ucdavis.edu/courses-subject-code/

Online Videos

• “Introduction to Causal Inference” (slides here)

• Online Causal Inference Seminar series

UC Davis Datalab learning group

• https://datalab.ucdavis.edu/causal-inference/
  • Reading list

Other links:

• https://cameron.econ.ucdavis.edu/causal/

• https://datalab-icmat.github.io/causal_reading_group.html

• Lab exercises by Ben Noble: https://github.com/bennoble/causal-inference-2022

Books

• Judea Pearl (2016)

• Hernán and Robins (2020)

Hernán, MA, and J Robins. 2020. “Causal Inference: What If. Boca Raton: Chapman & Hill/Crc.(2020).” Publisher’s Note Springer Nature Remains Neutral with Regard to Jurisdictional Claims in Published Maps and Institutional Affiliations. https://miguelhernan.org/whatifbook.

Judea Pearl, Nicholas P. Jewell, Madelyn Glymour. 2016. Causal Inference in Statistics: A Primer. 1st ed. Chicester: Wiley.