국립부경대학교 | 통계·데이터사이언스
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교수

구성원

교수

교수사진

하일도교수

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Seoul National University, Dept. of Statistics (Ph.D.,1999. 02)


2014.09 - 현재 부경대학교 통계학과 교수
2014.05 - 현재 의료기기 임상통계 전문가(식약처 식품의약품안전평가원)
2008 - 2012 Associate Editor of Computational Statistics
2006.01 - 현재 Fellow of The Royal Statistical Statistics (영국왕립통계학회)
2006.09 - 2007.08 연구방문교수 (University of Limerick, Centre for Biostatistics, 아일랜드)
2003.04 - 2014.08 대구한의대학교 제한동의학술원 의학통계부장, 임상시험심사위원(IRB; 2005 - 2009)
1996.09 - 2014.08 대구한의대학교 통계학과/정보과학부/데이터경영학과 전임강사/조교수/부교수/교수
1993.07 - 1994.07 육군사관학교 교수부 수학과 교관(전임강사)
· Multivariate survival analysis
· Random effects survival models(frailty models and competing risks models)
· H-likelihood Inference and Hierarchical generalized linear models(HGLMs)
· Machine learning (penalized variable selection)
· Medical statistics using randomized clinical trial

등록된 내용이 없습니다.

1 Ha, I.D., Lee, Y. and Song, J. (2001). Hierarchical likelihood approach for frailty models. Biometrika, 88, 233-243.
2 Ha, I.D., Lee, Y. and Song, J. (2002). Hierarchical likelihood approach for mixed linear models with censored data. Lifetime Data Analysis, 8, 163-176.
3 Ha, I.D., Park, T. and Lee, Y. (2003). Joint modelling of repeated measures and survival time data. Biometrical Journal, 45, 647-658.
4 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.
5 Ha, I.D. and Lee, Y. (2005). Multilevel Mixed Linear Models for Survival Data. Lifetime Data Analysis, 11, 131-142.
6 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.
7 Noh, M., Ha, I.D. and Lee, Y. (2006). Dispersion frailty models and HGLMs. Statistics in Medicine, 25, 1341-1354.
8 Ha, I. D. (2006). Discussion of Lee and Nelder’s paper. Journal of the Royal Statistical Society, C, 55, 176.
9 Lee, H.-S., Seo, J.-C. and Ha, I.D. (2006). Acupuncture for smoking cessation?: commentary. Yonsei Medical Journal, 47, 155-156.
10 Ha, I.D., Lee, Y. and Pawitan, Y. (2007). Genetic mixed liner models for twin survival data. Behavior Genetics, 37, 621-630
11 Ha, I.D., Lee, Y. and MacKenzie, G. (2007). Model selection for multi-component frailty models. Statistics in Medicine, 26, 4790-4807.
12 Ha, I. D. (2007). Discussion of Zeng and Lin’s paper. Journal of the Royal Statistical Society, B, 69, 549-550.
13 Ha, I. D., Noh, M. and Lee, Y. (2010). Bias reduction of likelihood estimators in semiparametric frailty models. Scandinavian Journal of Statistics, 37, 307-320.
14 Ha, I. D. and MacKenzie, G. (2010). Robust frailty modelling using non-proportional hazards models. Statistical Modelling, 10, 315-332.
15 Lee, Y. and Ha, I. D. (2010). Orthodox BLUP versus h-likelihood methods for inferences about random effects in Tweedie mixed models. Statistics and Computing, 20, 295-303.
16 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.
17 Ha, I. D., Noh, M. and Lee, Y. (2012). frailtyHL: frailty models via h-likelihood. R-package version 1.1.
18 Ha, I. D., Noh, M. and Lee, Y. (2012). frailtyHL: A package for fitting frailty models with h-likelihood. R Journal, 4, 28-37.
19 Ha, I. D., Pan, J., Oh, S. and Lee, Y. (2014). Variable selection in general frailty models using penalized h-likelihood. Journal of Computational and Graphical Statistics, 23, 1044-1060.
20 Ha, I. D., Lee, M., Oh, S., Jeong, J.-H., Sylvester, R. and Lee, Y. (2014). Variable selection in subdistribution hazard frailty models with competing risks data. Statistics in Medicine, 33, 4590-4604.
21 Paik, M. C., Lee, Y. and Ha, I. D. (2015). Frequentist inference on random effects based on summarizability. Statistica Sinica, 25, 1107-1132
22 Ha, I. D., Vaida, F. and Lee, Y. (2016). Interval estimation of random effects in proportional hazards models with frailties. Statistical Methods in Medical Research. 25, 936-953.
23 Ha, I. D., Christian, N. J., Jeong, J.-H., Park, J. and Lee, Y. (2016). Analysis of clustered competing risks data using subdistribution hazard models with multivariate frailties. Statistical Methods in Medical Research, 25, 2488-2505.
24 Christian, N. J., Ha, I. D. and Jeong, J. (2016). Hierarchical likelihood inference on clustered competing risks data. Statistics in Medicine, 35, 251-267.
25 Lee, M., Ha, I. D. and Lee, Y. (2017). Frailty modeling for clustered competing risks data with missing cause of failure. Statistical Methods in Medical Research, 26, 356-373.
26 Ha, I. D., Noh, M. and Lee, Y. (2017). H-likelihood approach for joint modelling of longitudinal outcomes and time-to-event data. Biometrical Journal, 59, 1122-1143.
27 Park, E. and Ha, I. D (2018). Penalized variable selection for accelerated failure time models with random effects. Statistics in Medicine, Published online.
28 Kim, J.-M., Li, C. and Ha, I. D (2018). Machine Learning Techniques Applied to US Army and Navy Data. International Journal of Productivity and Quality Management, in press.
29 Hong, S.W., Suh, Y.S., Kim,D.H., Kim,M.K., Kim,H.S., Park,K.S., Hwang, J. S. Shin,S.J., Cho,C.H., Jung, S.W., Ha, I.D. and Kwon, Y.K. (2018). Manifestations of Sasang typology according to common chronic diseases in Koreans. Evidence-Based Complementary and Alternative Medicine, in press.
30 Ha, I. D., Xiang, L., Peng, M. Jeong, J.-H. and Lee, Y. (2019). Frailty modelling approaches for semi-competing risks data. Lifetime Data Analysis, Accepted.

등록된 내용이 없습니다.