Publications (18)
How should covariates be handled in randomized trials? Empirical evidence from 50 trials and recommendations for practice
Yulin Shao, Liangbo Lyu, Menggang Yu +1
Background and Objective: Covariate adjustment can improve precision and power in randomized clinical trials and is recommended by major regulatory agencies. However, there is limi…
Studentized Permutation Method for Comparing Restricted Mean Survival Times with Small Sample from Randomized Trials
Marc Ditzhaus, Menggang Yu, Jin Xu
Recent observations, especially in cancer immunotherapy clinical trials with time-to-event outcomes, show that the commonly used proportial hazard assumption is often not justifiab…
Sufficient Dimension Reduction for Populations with Structured Heterogeneity
Jared D. Huling, Menggang Yu
A key challenge in building effective regression models for large and diverse populations is accounting for patient heterogeneity. An example of such heterogeneity is in health sys…
Efficient Estimation of Average Treatment Effect on the Treated under Endogenous Treatment Assignment
Trinetri Ghosh, Jiawei Shan, Menggang Yu +1
In this paper, we consider estimation of average treatment effect on the treated (ATT), an interpretable and relevant causal estimand to policy makers when treatment assignment is…
Consistency Assessment of Regional Treatment Effect for Multi-Regional Clinical Trials in the Presence of Covariate Shift
Kunhai Qing, Xinru Ren, Jin Xu +1
Multi-Regional Clinical Trials (MRCTs) play a central role in the development of new therapies by enabling the simultaneous evaluation of drug efficacy and safety across diverse gl…
Personalized Two-sided Dose Interval
Chan Park, Guanhua Chen, Menggang Yu
In fields such as medicine and social sciences, the goal of treatment is often to maintain the outcome of interest within a desirable range rather than to optimize its value. To ac…