Propensity Score Matching (PSM) is a popular technique in causal inference. The basic idea is easy to explain in a nutshell, but implementing PSM in practice… not so much. In this talk we’ll start from scratch and progressively deepen our understanding, with the use of Python, of course!

Alon Nir

Affiliation: Spotify

Data scientist by profession, dismal scientist by education. GIF connoisseur. I try to be a little better every day.

visit the speaker at: Github