Workshops

A crash course on causal inference

This is a two-day introduction to causal inference using both Potential Outcomes and Directed Acyclic Graphs. I have offered this workshop several times, including at SICSS-UCLA.

(Intro to POs ) (Intro to DAGs )

An introduction to heterogeneous treatment effects

This was a guest lecture on Stat 256 at UCLA, a graduate causal inference class taught by Chad Hazlett. I provided a quick introduction to the estimation of heterogeneous treatment effects, including machine learning approaches. (Slides )