4 papers · 1 filter
Shape-Preserving Covariate Adjustment via Empirical Likelihood in Randomized Experiment
Zhilan Lou, Jun Shao, Yuhan Qian +4
Covariate adjustment improves estimation efficiency in randomized experiments, but standard calibration and augmentation methods, when applied to distribution or survival functions…
Robust and Data-Adaptive Integration of Nonconcurrent Data in Platform Trials via Gaussian Processes
Yuhan Qian, Yu Du, Jingning Zhang +3
A platform trial is an innovative clinical trial design that enables simultaneous and continuous evaluation of multiple treatments within a single master protocol. Existing robust…
Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
Jiren Sun, Tuo Wang, Yanyao Yi +3
The area under the curve (AUC) of the mean cumulative function (MCF) has recently been introduced as a novel estimand for evaluating treatment effects in recurrent event settings,…
Clarifying the Role of the Mantel-Haenszel Risk Difference Estimator in Randomized Clinical Trials
Xiaoyu Qiu, Yuhan Qian, Jaehwan Yi +4
The Mantel-Haenszel (MH) risk difference estimator, commonly used in randomized clinical trials for binary outcomes, calculates a weighted average of stratum-specific risk differen…