Average Treatment Effects: Propensity Scores

41:43
Average Treatment Effects: Double Robustness

30:00
Propensity Score Matching

1:00:56
Gary King, "Why Propensity Scores Should Not Be Used for Matching"

33:22
Propensity score weighting

6:49
Propensity scores: Everything you need to know in 5min

41:50
Solving Heterogeneous Estimating Equations Using Forest Based Algorithms

11:26
6.4 - Propensity Scores and Inverse Probability Weighting (IPW)

18:29