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. |
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