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stat.ME2024
Covariate balancing with measurement error
Xialing Wen, Ying Yan
In recent years, there is a growing body of causal inference literature focusing on covariate balancing methods. These methods eliminate observed confounding by equalizing covariat…
stat.ME2021
Kernel-Distance-Based Covariate Balancing
Xialing Wen, Ying Yan, Wenliang Pan +1
A common concern in observational studies focuses on properly evaluating the causal effect, which usually refers to the average treatment effect or the average treatment effect on…
stat.ME2020★ 1 cited
Empirical Likelihood Weighted Estimation of Average Treatment Effects
Yuanyao Tan, Xialing Wen, Wei Liang +1
There has been growing attention on how to effectively and objectively use covariate information when the primary goal is to estimate the average treatment effect (ATE) in randomiz…