Causal Inference in Epidemiology

Author

Affiliation

Douglas Ezra Morrison

Department of Public Health Sciences, School of Medicine, University of California, Davis

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.