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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.Biostatistics (Oxford, England)|December 15, 2025
Network generalized estimating equations for complexly correlated data with applications to cluster randomized trialsTom Chen, Fan Li, Rui WangStatistics in Medicine|March 15, 2024
Multiply robust generalized estimating equations for cluster randomized trials with missing outcomesDustin J Rabideau, Fan Li, Rui WangSensors (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 WangStatistical Methods in Medical Research|June 17, 2025
Permutation tests for detecting treatment effect heterogeneity in cluster randomized trialsLara Maleyeff, Fan Li, Sebastien Haneuse, et al.Biometrics|November 23, 2022
Assessing exposure-time treatment effect heterogeneity in stepped-wedge cluster randomized trialsLara Maleyeff, Fan Li, Sebastien Haneuse, et al.Statistics in Medicine|November 17, 2023
Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomesLara Maleyeff, Rui Wang, Sebastien Haneuse, et al.Biometrics|April 23, 2019
Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptionsBingkai Wang, Elizabeth L Ogburn, Michael RosenblumStatistics in Medicine|July 3, 2023
Covariate adjustment in randomized clinical trials with missing covariate and outcome dataChia-Rui Chang, Yue Song, Fan Li, et al.Pageof 1,495