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Clinical Trials (London, England)|March 4, 2026
On flexible covariate adjustment under covariate-constrained randomizationBingkai Wang, Fan LiBiometrics|November 5, 2024
How to achieve model-robust inference in stepped wedge trials with model-based methods?Bingkai Wang, Xueqi Wang, Fan LiBiometrics|February 23, 2026
Handling incomplete outcomes and covariates in cluster-randomized trials: doubly robust estimation, efficiency considerations, and sensitivity analysisBingkai Wang, Fan Li, Rui WangStatistics in Medicine|February 28, 2026
Estimands and Doubly Robust Estimation for Cluster-Randomized Trials With Survival OutcomesXi Fang, Bingkai Wang, Liangyuan Hu, et al.Journal of the American Statistical Association|February 6, 2025
Model-robust and efficient covariate adjustment for cluster-randomized experimentsBingkai Wang, Chan Park, Dylan S Small, et al.Statistics in Medicine|May 26, 2026
Doubly Robust Estimators of the Restricted Mean Time in Favor Estimands in Individual- and Cluster-Randomized TrialsXi Fang, Bingkai Wang, Guangyu Tong, et al.Statistics in Medicine|September 19, 2025
Model-Robust Standardization in Cluster-Randomized TrialsFan Li, Jiaqi Tong, Xi Fang, et al.The International Journal of Biostatistics|November 28, 2023
Improving the mixed model for repeated measures to robustly increase precision in randomized trialsBingkai Wang, Yu DuStatistical Science : a Review Journal of the Institute of Mathematical Statistics|January 16, 2026
On the mixed-model analysis of covariance in cluster-randomized trialsBingkai Wang, Michael O Harhay, Jiaqi Tong, et al.Sensors (Basel, Switzerland)|July 12, 2025
A Long-Time Series Forecast Method for Wind Turbine Blade Strain with Incremental Bi-LSTM LearningBingkai Wang, Wenlei Sun, Hongwei WangPageof 365