Nonparametric Estimation for Propensity Scores With Misclassified Treatments
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DOI: 10.1002/sim.10306
Abstract: In the framework of causal inference, average treatment effect (ATE) is one of crucial concerns. To estimate it, the propensity score based estimation method and its variants have been widely adopted. However, most existing methods… read more here.
Keywords: binary treatments; propensity; nonparametric estimation; measurement error ... See more keywords