Propensity Score Matching in a nOtshell
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!
Data scientist by profession, dismal scientist by education. GIF connoisseur. I try to be a little better every day.
visit the speaker at: Github