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Using Balancing Weights to Target the Treatment Effect on the Treated when Overlap is Poor
Eli Ben-Michael, Luke Keele
Inverse probability weights are commonly used in epidemiology to estimate causal effects in observational studies. Researchers can typically focus on either the average treatment e…
Profiling Compliers in Instrumental Variables Designs
Dominik Hangartner, Moritz Marbach, Leonard Henckel +3
Instrumental variable (IV) analyses are becoming common in health services research and epidemiology. IV analyses can be used both to analyze randomized trials with noncompliance a…
Evaluating A Key Instrumental Variable Assumption Using Randomization Tests
Zach Branson, Luke Keele
Instrumental variable (IV) analyses are becoming common in health services research and epidemiology. Most IV analyses use naturally occurring instruments, such as distance to a ho…
Estimation Methods for Cluster Randomized Trials with Noncompliance: A Study of A Biometric Smartcard Payment System in India
Hyunseung Kang, Luke Keele
Many policy evaluations occur in settings where treatment is randomized at the cluster level, and there is treatment noncompliance within each cluster. For example, villages might…
Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
Kosuke Imai, Luke Keele, Teppei Yamamoto
Causal mediation analysis is routinely conducted by applied researchers in a variety of disciplines. The goal of such an analysis is to investigate alternative causal mechanisms by…