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20172021
most citedRobust and Efficient Semi-Supervised Estimation of Average Treatment Effects with Application to Electronic Health Records Data

28 citations · 57 across the 4 of their papers we have counts for

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stat.ME2017★ 15 cited

Estimating Average Treatment Effects with a Double-Index Propensity Score

David Cheng, Abhishek Chakrabortty, Ashwin N. Ananthakrishnan +1

We consider estimating average treatment effects (ATE) of a binary treatment in observational data when data-driven variable selection is needed to select relevant covariates from…