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Kevin He

Showing results (21-30 of 151) with videos related to

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Journal of Affective Disorders|January 8, 2021
Use of machine learning approach to predict depression in the elderly in China: A longitudinal studyDai Su, Xingyu Zhang, Kevin He, et al.
Lifetime Data Analysis|May 12, 2026
Gradient boosting-based discrete failure time model for selecting time-varying effects and interactionsLingfeng Luo, Kevin He, Jeremy M G Taylor
Statistics in Medicine|March 23, 2022
Improving large-scale estimation and inference for profiling health care providersWenbo Wu, Yuan Yang, Jian Kang, et al.
Biometrics|April 19, 2021
Stratified Cox models with time-varying effects for national kidney transplant patients: A new blockwise steepest ascent methodKevin He, Ji Zhu, Jian Kang, et al.
Biostatistics (Oxford, England)|June 13, 2020
Accounting for total variation and robustness in profiling health care providersLu Xia, Kevin He, Yanming Li, et al.
Cancers|June 1, 2019
False Discovery Rate Control in Cancer Biomarker Selection Using KnockoffsArlina Shen, Han Fu, Kevin He, et al.
Molecular Biology of the Cell|September 2, 2016
Spindle function in Xenopus oocytes involves possible nanodomain calcium signalingRuizhen Li, Julie Leblanc, Kevin He, et al.
RNA (New York, N.Y.)|May 3, 2023
Nanoblot: an R-package for visualization of RNA isoforms from long-read RNA-sequencing dataSamuel DeMario, Kevin Xu, Kevin He, et al.
Statistics in Medicine|October 20, 2018
Inter-unit reliability for nonlinear modelsKevin He, John D Kalbfleisch, Yuan Yang, et al.
Bioinformatics (Oxford, England)|January 30, 2021
Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR dataDi Wang, Zheng Jing, Kevin He, et al.
Pageof 16

Showing results (21-30 of 151) with videos related to

Sort By:
Pageof 16
Journal of Affective Disorders|January 8, 2021
Use of machine learning approach to predict depression in the elderly in China: A longitudinal studyDai Su, Xingyu Zhang, Kevin He, et al.
Lifetime Data Analysis|May 12, 2026
Gradient boosting-based discrete failure time model for selecting time-varying effects and interactionsLingfeng Luo, Kevin He, Jeremy M G Taylor
Statistics in Medicine|March 23, 2022
Improving large-scale estimation and inference for profiling health care providersWenbo Wu, Yuan Yang, Jian Kang, et al.
Biometrics|April 19, 2021
Stratified Cox models with time-varying effects for national kidney transplant patients: A new blockwise steepest ascent methodKevin He, Ji Zhu, Jian Kang, et al.
Biostatistics (Oxford, England)|June 13, 2020
Accounting for total variation and robustness in profiling health care providersLu Xia, Kevin He, Yanming Li, et al.
Cancers|June 1, 2019
False Discovery Rate Control in Cancer Biomarker Selection Using KnockoffsArlina Shen, Han Fu, Kevin He, et al.
Molecular Biology of the Cell|September 2, 2016
Spindle function in Xenopus oocytes involves possible nanodomain calcium signalingRuizhen Li, Julie Leblanc, Kevin He, et al.
RNA (New York, N.Y.)|May 3, 2023
Nanoblot: an R-package for visualization of RNA isoforms from long-read RNA-sequencing dataSamuel DeMario, Kevin Xu, Kevin He, et al.
Statistics in Medicine|October 20, 2018
Inter-unit reliability for nonlinear modelsKevin He, John D Kalbfleisch, Yuan Yang, et al.
Bioinformatics (Oxford, England)|January 30, 2021
Cox-nnet v2.0: improved neural-network-based survival prediction extended to large-scale EMR dataDi Wang, Zheng Jing, Kevin He, et al.
Pageof 16