Susan Athey and Stefan Wager: Estimating Heterogeneous Treatment Effects in R

Subscribe to our channel to get notified when we release a new video. Like the video to tell YouTube that you want more content like this on your feed. See our website for future seminars: https://sites.google.com/view/ocis/home "Estimating Heterogenous Treatment Effects in R" Susan Athey and Stefan Wager, Stanford University Abstract: This tutorial will survey recent advances in machine learning based estimation of conditional average treatment effects under unconfoundedness. We will also discuss methods for validating and interpreting estimates of treatment heterogeneity. Methods will be illustrated using numerical examples in R. August 31, 2021

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