1 citations · 1 across the 2 of their papers we have counts for
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stat.ME2022
Confidence Band Estimation for Survival Random Forests
Sarah Elizabeth Formentini, Wei Liang, Ruoqing Zhu
Survival random forest is a popular machine learning tool for modeling censored survival data. However, there is currently no statistically valid and computationally feasible appro…
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…