Here is some preliminary reading to help you prepare for the Causal Inference Module. This consists of two book chapters, and two papers. We recommend reading the book chapters first, and then tackling the papers.

 

Book Chapters

Chapter 1 of What If by Miguel Hernan and James Robins (available here)

Causal Concepts in Graphical Models by Vanessa Didelez, Chapter 15 of the Handbook of Graphical Models in (available here)

 

Papers

Single World Intervention Graphs: A Primer, by Richardson and Robins, published at UAI in 2013.

Methods for dealing with time-dependent confounding by Daniel et al., Statistics in Medicine, 2013.