1.1k citations · 1.5k across the 20 of their papers we have counts for
3 papers · 2 filters
Overlap in Observational Studies with High-Dimensional Covariates
Alexander D'Amour, Peng Ding, Avi Feller +2
Estimating causal effects under exogeneity hinges on two key assumptions: unconfoundedness and overlap. Researchers often argue that unconfoundedness is more plausible when more co…
Inference on a New Class of Sample Average Treatment Effects
Jasjeet S. Sekhon, Yotam Shem-Tov
We derive new variance formulas for inference on a general class of estimands of causal average treatment effects in a Randomized Control Trial (RCT). We generalize Robins (1988) a…
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning
Sören R. Künzel, Jasjeet S. Sekhon, Peter J. Bickel +1
There is growing interest in estimating and analyzing heterogeneous treatment effects in experimental and observational studies. We describe a number of meta-algorithms that can ta…