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Kevin He

Showing results (31-40 of 151) with videos related to

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Lifetime Data Analysis|May 28, 2013
Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effectsKevin He, Jack D Kalbfleisch, Yijiang Li, et al.
Biometrics|July 1, 2022
Concordance indices with left-truncated and right-censored dataNicholas Hartman, Sehee Kim, Kevin He, et al.
Statistical Methods in Medical Research|July 6, 2023
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard modelsLingfeng Luo, Kevin He, Wenbo Wu, et al.
Statistics in Medicine|March 28, 2023
Pitfalls of the concordance index for survival outcomesNicholas Hartman, Sehee Kim, Kevin He, et al.
Plos Genetics|May 27, 2026
mFABIO: An integrative multi-tissue TWAS fine-mapping approach to prioritize potentially causal genes and tissues underlying binary traitsHaihan Zhang, Kevin He, Lam C Tsoi, et al.
Journal of Multivariate Analysis|February 18, 2020
Generalized Linear Mixed Models with Gaussian Mixture Random Effects: Inference and ApplicationLanfeng Pan, Yehua Li, Kevin He, et al.
Statistical Applications in Genetics and Molecular Biology|March 14, 2019
False discovery control for penalized variable selections with high-dimensional covariatesKevin He, Xiang Zhou, Hui Jiang, et al.
Lifetime Data Analysis|November 28, 2018
An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysisKevin He, Yue Wang, Xiang Zhou, et al.
Frontiers in Public Health|November 7, 2022
Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approachesDai Su, Xingyu Zhang, Kevin He, et al.
The R Journal|June 7, 2021
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient BoostingEmily Morris, Kevin He, Yanming Li, et al.
Pageof 16

Showing results (31-40 of 151) with videos related to

Sort By:
Pageof 16
Lifetime Data Analysis|May 28, 2013
Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effectsKevin He, Jack D Kalbfleisch, Yijiang Li, et al.
Biometrics|July 1, 2022
Concordance indices with left-truncated and right-censored dataNicholas Hartman, Sehee Kim, Kevin He, et al.
Statistical Methods in Medical Research|July 6, 2023
Using information criteria to select smoothing parameters when analyzing survival data with time-varying coefficient hazard modelsLingfeng Luo, Kevin He, Wenbo Wu, et al.
Statistics in Medicine|March 28, 2023
Pitfalls of the concordance index for survival outcomesNicholas Hartman, Sehee Kim, Kevin He, et al.
Plos Genetics|May 27, 2026
mFABIO: An integrative multi-tissue TWAS fine-mapping approach to prioritize potentially causal genes and tissues underlying binary traitsHaihan Zhang, Kevin He, Lam C Tsoi, et al.
Journal of Multivariate Analysis|February 18, 2020
Generalized Linear Mixed Models with Gaussian Mixture Random Effects: Inference and ApplicationLanfeng Pan, Yehua Li, Kevin He, et al.
Statistical Applications in Genetics and Molecular Biology|March 14, 2019
False discovery control for penalized variable selections with high-dimensional covariatesKevin He, Xiang Zhou, Hui Jiang, et al.
Lifetime Data Analysis|November 28, 2018
An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysisKevin He, Yue Wang, Xiang Zhou, et al.
Frontiers in Public Health|November 7, 2022
Individualized prediction of chronic kidney disease for the elderly in longevity areas in China: Machine learning approachesDai Su, Xingyu Zhang, Kevin He, et al.
The R Journal|June 7, 2021
SurvBoost: An R Package for High-Dimensional Variable Selection in the Stratified Proportional Hazards Model via Gradient BoostingEmily Morris, Kevin He, Yanming Li, et al.
Pageof 16