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Tianyu Zhan

Showing results (1-10 of 34) with videos related to

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Statistics in Medicine|August 30, 2022
DL 101: Basic introduction to deep learning with its application in biomedical related fieldsTianyu Zhan
Statistics in Medicine|March 5, 2024
A class of computational methods to reduce selection bias when designing Phase 3 clinical trialsTianyu Zhan
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|December 12, 2022
Finite-Sample Two-Group Composite Hypothesis Testing via Machine LearningTianyu Zhan, Jian Kang
Biometrics|March 4, 2025
A general, flexible, and harmonious framework to construct interpretable functions in regression analysisTianyu Zhan, Jian Kang
The Canadian Journal of Statistics = Revue Canadienne De Statistique|February 13, 2026
Semiparametric regression methods for temporal processes subject to multiple sources of censoringTianyu Zhan, Douglas E Schaubel
Lifetime Data Analysis|May 26, 2018
Semiparametric temporal process regression of survival-out-of-hospitalTianyu Zhan, Douglas E Schaubel
Arxiv|May 20, 2021
Deep Neural Networks Guided Ensemble Learning for Point EstimationTianyu Zhan, Haoda Fu, Jian Kang
Frontiers in Plant Science|March 27, 2025
Adaptive management for alpine grassland of the Tibetan Plateau based on a multi-criteria assessmentTianyu Zhan, Shurong Zhang, Wenwu Zhao
Journal of Biopharmaceutical Statistics|April 17, 2020
Modified Goldilocks Design with strict type I error control in confirmatory clinical trialsTianyu Zhan, Hongtao Zhang, Alan Hartford, et al.
Statistics in Biopharmaceutical Research|April 11, 2022
Optimizing Graphical Procedures for Multiplicity Control in a Confirmatory Clinical Trial via Deep LearningTianyu Zhan, Alan Hartford, Jian Kang, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
Statistics in Medicine|August 30, 2022
DL 101: Basic introduction to deep learning with its application in biomedical related fieldsTianyu Zhan
Statistics in Medicine|March 5, 2024
A class of computational methods to reduce selection bias when designing Phase 3 clinical trialsTianyu Zhan
Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America|December 12, 2022
Finite-Sample Two-Group Composite Hypothesis Testing via Machine LearningTianyu Zhan, Jian Kang
Biometrics|March 4, 2025
A general, flexible, and harmonious framework to construct interpretable functions in regression analysisTianyu Zhan, Jian Kang
The Canadian Journal of Statistics = Revue Canadienne De Statistique|February 13, 2026
Semiparametric regression methods for temporal processes subject to multiple sources of censoringTianyu Zhan, Douglas E Schaubel
Lifetime Data Analysis|May 26, 2018
Semiparametric temporal process regression of survival-out-of-hospitalTianyu Zhan, Douglas E Schaubel
Arxiv|May 20, 2021
Deep Neural Networks Guided Ensemble Learning for Point EstimationTianyu Zhan, Haoda Fu, Jian Kang
Frontiers in Plant Science|March 27, 2025
Adaptive management for alpine grassland of the Tibetan Plateau based on a multi-criteria assessmentTianyu Zhan, Shurong Zhang, Wenwu Zhao
Journal of Biopharmaceutical Statistics|April 17, 2020
Modified Goldilocks Design with strict type I error control in confirmatory clinical trialsTianyu Zhan, Hongtao Zhang, Alan Hartford, et al.
Statistics in Biopharmaceutical Research|April 11, 2022
Optimizing Graphical Procedures for Multiplicity Control in a Confirmatory Clinical Trial via Deep LearningTianyu Zhan, Alan Hartford, Jian Kang, et al.
Pageof 4