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Bingkai Wang

Showing results (1-10 of 43) with videos related to

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JAMA Network Open|April 13, 2019
The Critical Role of Statistical Analyses in Maximizing Power Gains From Covariate-Adaptive Trial DesignsMichael Rosenblum, Bingkai Wang
The International Journal of Biostatistics|November 28, 2023
Improving the mixed model for repeated measures to robustly increase precision in randomized trialsBingkai Wang, Yu Du
Clinical Trials (London, England)|March 4, 2026
On flexible covariate adjustment under covariate-constrained randomizationBingkai Wang, Fan Li
Biometrics|November 5, 2024
How to achieve model-robust inference in stepped wedge trials with model-based methods?Bingkai Wang, Xueqi Wang, Fan Li
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 Wang
Biometrics|February 23, 2026
Handling incomplete outcomes and covariates in cluster-randomized trials: doubly robust estimation, efficiency considerations, and sensitivity analysisBingkai Wang, Fan Li, Rui Wang
JAMA Internal Medicine|March 10, 2025
What Is a Stepped-Wedge Cluster Randomized Trial?Fan Li, Bingkai Wang, Patrick J Heagerty
Biometrics|April 23, 2019
Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptionsBingkai Wang, Elizabeth L Ogburn, Michael Rosenblum
Biometrics|December 12, 2019
Rejoinder to "Robustness of ANCOVA in randomized trials with unequal randomization" by Jonathan W. BartlettBingkai Wang, Elizabeth L Ogburn, Michael Rosenblum
Sensors (Basel, Switzerland)|July 30, 2025
Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTMYi Zou, Wenlei Sun, Tiantian Xu, et al.
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
JAMA Network Open|April 13, 2019
The Critical Role of Statistical Analyses in Maximizing Power Gains From Covariate-Adaptive Trial DesignsMichael Rosenblum, Bingkai Wang
The International Journal of Biostatistics|November 28, 2023
Improving the mixed model for repeated measures to robustly increase precision in randomized trialsBingkai Wang, Yu Du
Clinical Trials (London, England)|March 4, 2026
On flexible covariate adjustment under covariate-constrained randomizationBingkai Wang, Fan Li
Biometrics|November 5, 2024
How to achieve model-robust inference in stepped wedge trials with model-based methods?Bingkai Wang, Xueqi Wang, Fan Li
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 Wang
Biometrics|February 23, 2026
Handling incomplete outcomes and covariates in cluster-randomized trials: doubly robust estimation, efficiency considerations, and sensitivity analysisBingkai Wang, Fan Li, Rui Wang
JAMA Internal Medicine|March 10, 2025
What Is a Stepped-Wedge Cluster Randomized Trial?Fan Li, Bingkai Wang, Patrick J Heagerty
Biometrics|April 23, 2019
Analysis of covariance in randomized trials: More precision and valid confidence intervals, without model assumptionsBingkai Wang, Elizabeth L Ogburn, Michael Rosenblum
Biometrics|December 12, 2019
Rejoinder to "Robustness of ANCOVA in randomized trials with unequal randomization" by Jonathan W. BartlettBingkai Wang, Elizabeth L Ogburn, Michael Rosenblum
Sensors (Basel, Switzerland)|July 30, 2025
Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTMYi Zou, Wenlei Sun, Tiantian Xu, et al.
Pageof 5