Overview

This page is dedicated to the Book Club I organized for the PhD students in epidemiology at Aarhus University, Department of Clinical Epidemiology (Klinisk Epidemiologisk Afdeling, KEA). I openly share the materials after “What If” chapters for you to see, share, learn, and find mistakes 🤓

Download “What If” book

Follow this direct link to download the book version from 30 March, 2021. Visit Miguel Hernan’s Faculty Website, where the most updated version of causal inference book and supplementary learning materials are openly available.

Agenda

Part I

Chapter Date Notes Slides link
Chapter 1. A definition of causal effect 8 Oct, 2020 Recap, discussion, scheduling Chapter 2 session 📑
Chapter 2. Randomized experiments 21 Oct, 2020 Recap, discussion, scheduling Chapter 3 session 📑
Chapter 3. Observational studies 12 Nov, 2020 Recap, discussion, Chapter 4 session on 26 Nov, 2020 📑
Chapter 4. Effect modification 26 Nov, 2020 Recap, discussion, Chapter 5 session on 10 Dec, 2020 📑
Chapter 5. Interaction 10 Dec, 2020 Recap, discussion, Chapter 6 session on 7 Jan, 2021 📑
Chapter 6. Graphical representation of causal effects 21 Jan, 2021 Recap, discussion, Chapter 7 session on 4 Feb, 2021 📑
Chapter 7. Confounding 04 Feb, 2021 Recap, discussion, Chapter 8 session on 18 Feb, 2021 📑
Chapter 8. Selection bias 18 Feb, 2021 Recap, discussion, Chapter 9 session on 4 March, 2021 📑
Chapter 9. Measurement bias 4 March, 2021 Recap, discussion, Chapter 10 session on 18 March 📑
Chapter 10. Random variability 18 March, 2021 Recap, discussion, Chapter 11 session on 15 April, 2021 📑

Part II

Chapter Date Notes Link
Chapter 11. Why model? 15 April, 2021 Recap, discussion, Chapter 12 session TBD 📑
Chapter 12. Inverse probability weighting and marginal structural models 29 April, 2021 Recap, discussion, Chapter 13 session is on May 27th 📑
Chapter 13. Standardization and the parametric g-formula 28 May, 2021 Recap, discussion 📑
Chapter 14. G-estimation 📑
Chapter 15. Outcome regression and propensity scores 📑
Chapter 16. Instrumental variables estimation 📑
Chapter 17. Causal survival analysis 📑
Chapter 18. Variable selection for causal inference 📑

Other materials

Twitter on random non-exchangeability

Twitter on inappropriate use of p-values

  1. https://mobile.twitter.com/i/events/864222884000129025