3.5: Causal Inference and DAGs - Class Notes
Contents
Tuesday, November 5, 2019 and Thursday, November 7, 2019
Overview
Today we return to a more nuanced discussion of causality, given what we now know about multivariate regression. We also introduce a new tool for thinking about simple causal models, the **directed acyclic graph (DAG)*. These are a hip new trend for thinking about causal inference, so new and trendy that they aren’t really in any mainstream textbooks yet!
New Packages Mentioned
ggdag: for drawing DAGs inggplotdagitty.net: not a package in R, but an online tool to help you work with DAGs (see the cheat sheets in today’s readings page)
Slides
Practice Problems
On Thursday, we will work on Practice Problems. Answers are posted there.