1 citations · 1 across the 2 of their papers we have counts for
3 papers
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
Empirical Likelihood-Based Estimation and Inference in Randomized Controlled Trials with High-Dimensional Covariates
Wei Liang, Ying Yan
In this paper, we propose a data-adaptive empirical likelihood-based approach for treatment effect estimation and inference, which overcomes the obstacle of the traditional empiric…
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…