하일도
부경대학교 통계학과
하일도 교수 (Prof. IL DO HA)
연구실: 자연과학관 2관(C24) 7112호
Tel: +82-51-629-5536
E-mail : idha1353@pknu.ac.kr
학력 (Education):
Seoul National University, Dept. of Statistics (Ph.D.,1999. 02)
경력 (Professional Experience ):
Korea Military Academy, Dept. of Mathematics, Full-time lector
Deagu Haany University, Dept. of Data Management, Professor
Univ. of Limerick (Ireland), Centre of Biostatistics, Visiting professor
연구분야 (Research Interests):
Multivariate survival analysis
Medical Statistics
Machine learning for medical and time-to-event data
Development of likelihood-based algorithm
논문상 (Honors and Award):
Research award of The Society of Korean Medicine (2004)
Research award of The Korean Data & Information Science Society (2009)
Best research award in field of Statistics of The Korean Federation of Science and Technology Societies (2013)
연구편집업적 (Administrative and Editorial work):
Fellow of The Royal Statistical Society (2006 - present)
Co-Editor of the Korean Journal of Applied Statistics (2014 - 2016)
Associate Editor of Computational Statistics (2008-2012)
Associate Editor of Journal of the Japanese Society of Computational Statistics (2009 -present)
저서 (English Book)
Ha, I.D., Jeong J.-H. and Lee, Y. (2017).
Statistical Modelling of Survival Data with Random Effects. Springer
소프트웨어 개발 (Development of software)
Ha, I. D., Noh, M., Kim, J. and Lee, Y. (2018). frailtyHL: frailty models via h-likelihood. R-package version 2.1.
http://cran.r-project.org/package=frailtyHL
주요국제논문 (Selected International publications)
1. Ha, I.D., Lee, Y. and Song, J. (2001). Hierarchical likelihood approach for frailty models. Biometrika, 88, 233-243.
2. Ha, I.D. and Lee, Y. (2003). Estimating frailty models via Poisson hierarchical generalized linear models. Journal of Computational and Graphical Statistics, 12, 663-681.
3. Ha, I. D. and Lee, Y. (2005). Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models. Biometrika, 92, 717-723.
4. Ha, I.D., Lee, Y. and MacKenzie, G. (2007). Model selection for multi-component frailty models. Statistics in Medicine, 26, 4790-4807.
5. Ha, I. D., Sylvester, R., Legrand, C. and MacKenzie, G. (2011). Frailty modelling for survival data from multi-centre clinical trial. Statistics in Medicine, 30, 2144-2159.
6. Christian, N. J., Ha, I. D. and Jeong, J. (2016). Hierarchical likelihood inference on clustered competing risks data. Statistics in Medicine, 35, 251-267.
7. Park, E and Ha, I. D. (2019). Penalized variable selection for accelerated failure time models with random effects. Statistics in Medicine, 38, 878-892.
8. Kwon, S., Ha, I. D. and Kim, J.-M. (2020). Penalized variable selection in copula survival models for clustered time-to-event data. Journal of Statistical Computation and Simulation, 90, 657-675.
9. Ha, I. D., Xiang, L., Peng, M. Jeong, J.-H. and Lee, Y. (2020). Frailty modelling approaches for semi-competing risks data. Lifetime Data Analysis, 25, 109-133.
10. Chee, C.-S., Ha, I. D., Seo, B. and Lee, Y. (2021). Semiparametric estimation for nonparametric frailty models using nonparametric maximum likelihood approach. Statistical Methods in Medical Research, Published online.