31 citations · 116 across the 22 of their papers we have counts for
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stat.ME2023★ 3 cited
A General Form of Covariate Adjustment in Randomized Clinical Trials
Marlena S. Bannick, Jun Shao, Jingyi Liu +3
In randomized clinical trials, adjusting for baseline covariates can improve credibility and efficiency for demonstrating and quantifying treatment effects. This article studies th…
stat.ME2023★ 2 cited
Robust Variance Estimation for Covariate-Adjusted Unconditional Treatment Effect in Randomized Clinical Trials with Binary Outcomes
Ting Ye, Marlena Bannick, Yanyao Yi +1
To improve precision of estimation and power of testing hypothesis for an unconditional treatment effect in randomized clinical trials with binary outcomes, researchers and regulat…
stat.ME2023
Adjusting for Incomplete Baseline Covariates in Randomized Controlled Trials: A Cross-World Imputation Framework
Yilin Song, James P. Hughes, Ting Ye
In randomized controlled trials, adjusting for baseline covariates is often applied to improve the precision of treatment effect estimation. However, missingness in covariates is c…