1.6k citations · 2.1k across the 53 of their papers we have counts for
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stat.ME2015★ 131 cited
Propensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments
Shu Yang, Guido W. Imbens, Zhanglin Cui +2
In this paper, we develop new methods for estimating average treatment effects in observational studies, focusing on settings with more than two treatment levels under unconfounded…
stat.ML2015★ 1.6k cited
Recursive Partitioning for Heterogeneous Causal Effects
Susan Athey, Guido Imbens
In this paper we study the problems of estimating heterogeneity in causal effects in experimental or observational studies and conducting inference about the magnitude of the diffe…