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Il Do Ha

Showing results (11-20 of 25) with videos related to

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Statistical Methods in Medical Research|October 12, 2023
Penalized variable selection in multi-parameter regression survival modelingFatima-Zahra Jaouimaa, Il Do Ha, Kevin Burke
Lifetime Data Analysis|June 7, 2002
Hierarchical-likelihood approach for mixed linear models with censored dataIl Do Ha, Youngjo Lee, Jae-Kee Song
Statistics in Medicine|May 13, 2011
Frailty modelling for survival data from multi-centre clinical trialsIl Do Ha, Richard Sylvester, Catherine Legrand, et al.
Statistical Methods in Medical Research|June 30, 2026
A robust neural network with random effects for subject-specific prediction of clustered count dataHangbin Lee, Il Do Ha, Changha Hwang, et al.
Yonsei Medical Journal|February 28, 2006
Acupuncture for smoking cessation?: commentaryHyang-Sook Lee, Jung-Chul Seo, Il Do Ha
Statistics in Medicine|August 18, 2015
Hierarchical likelihood inference on clustered competing risks dataNicholas J Christian, Il Do Ha, Jong-Hyeon Jeong
Statistical Methods in Medical Research|September 27, 2021
Semiparametric estimation for nonparametric frailty models using nonparametric maximum likelihood approachChew-Seng Chee, Il Do Ha, Byungtae Seo, et al.
Statistics in Medicine|September 20, 2021
Penalized variable selection for cause-specific hazard frailty models with clustered competing-risks dataTrias W Rakhmawati, Il Do Ha, Hangbin Lee, et al.
Pharmaceutical Statistics|August 3, 2021
Flexible parametric copula modeling approaches for clustered survival dataSookhee Kwon, Il Do Ha, Jia-Han Shih, et al.
Statistical Methods in Medical Research|December 24, 2019
Comparison of the marginal hazard model and the sub-distribution hazard model for competing risks under an assumed copulaTakeshi Emura, Jia-Han Shih, Il Do Ha, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Statistical Methods in Medical Research|October 12, 2023
Penalized variable selection in multi-parameter regression survival modelingFatima-Zahra Jaouimaa, Il Do Ha, Kevin Burke
Lifetime Data Analysis|June 7, 2002
Hierarchical-likelihood approach for mixed linear models with censored dataIl Do Ha, Youngjo Lee, Jae-Kee Song
Statistics in Medicine|May 13, 2011
Frailty modelling for survival data from multi-centre clinical trialsIl Do Ha, Richard Sylvester, Catherine Legrand, et al.
Statistical Methods in Medical Research|June 30, 2026
A robust neural network with random effects for subject-specific prediction of clustered count dataHangbin Lee, Il Do Ha, Changha Hwang, et al.
Yonsei Medical Journal|February 28, 2006
Acupuncture for smoking cessation?: commentaryHyang-Sook Lee, Jung-Chul Seo, Il Do Ha
Statistics in Medicine|August 18, 2015
Hierarchical likelihood inference on clustered competing risks dataNicholas J Christian, Il Do Ha, Jong-Hyeon Jeong
Statistical Methods in Medical Research|September 27, 2021
Semiparametric estimation for nonparametric frailty models using nonparametric maximum likelihood approachChew-Seng Chee, Il Do Ha, Byungtae Seo, et al.
Statistics in Medicine|September 20, 2021
Penalized variable selection for cause-specific hazard frailty models with clustered competing-risks dataTrias W Rakhmawati, Il Do Ha, Hangbin Lee, et al.
Pharmaceutical Statistics|August 3, 2021
Flexible parametric copula modeling approaches for clustered survival dataSookhee Kwon, Il Do Ha, Jia-Han Shih, et al.
Statistical Methods in Medical Research|December 24, 2019
Comparison of the marginal hazard model and the sub-distribution hazard model for competing risks under an assumed copulaTakeshi Emura, Jia-Han Shih, Il Do Ha, et al.
Pageof 3