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Education |  |
| 1. Ph.D. in Institute of Statistics, National Chiao Tung Univiersity, Taiwan, 2007. 2. Ph.D. student in Mathematics and Physics, Graduate School of Science and Technology, Chiba University ,Japan, 2002-2004. 3. M.S. in Information and Mathematical science, Graduate School of Science and Technology, Chiba University, Japan, 2002. 4. B.A. in Mathematics, Department of Science, To-Kai University, Japan, 1999. |
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Research Interests | |
| 1. Copula model 2. Truncated/Censored data analysis 3. Survival analysis 4. Statistical decision thoery 5. Reliability and Quality control |
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Publications | |
| [24] Emura T*, Shih JH, Ha ID, Wilke RA (2019). Comparison of the marginal hazard model and the sub-distribution hazard model for competing risks under an assumed copula, Stat Methods Med Res, in press. [23] Emura T*, Matsui S, Chen HY (2019) compound.Cox: univariate feature selection and compound covariate for predicting survival, Comput Methods Programs Biomed 168: 21-37 [22] Shih JH, Emura T*(2019) Bivariate dependence measures and bivariate competing risks models under the generalized FGM copula, Stat Pap 60(4) 1101-18 [21] Emura T*, Nakatochi M, Matsui S, Michimae H, Rondeau V (2018) Personalized dynamic prediction of death according to tumour progression and high-dimensional genetic factors: meta-analysis with a joint model, Stat Methods Med Res 27(9):2842-58 [20] Emura T*, Nakatochi M, Murotani K, Rondeau V (2017) A joint frailty-copula model between tumour progression and death for meta-analysis, Stat Methods Med Res 26(6): 2649-66 [19] Emura T*, Hu YH, Konno Y (2017) Asymptotic inference for maximum likelihood estimators under the special exponential family with double-truncation, Stat Pap 58 (3): 877-909 [18] Emura T*, Michimae H (2017) A copula-based inference to piecewise exponential models under dependent censoring, with application to time to metamorphosis of salamander larvae, Environ Ecol Stat 24(1) 151–73 [17] Emura T* and Pan CH (2017) Parametric maximum likelihood inference and goodness-of-fit tests for dependently left-truncated data, a copula-based approach, Stat Pap, doi:10.1007/s00362-017-0947-z [16] Emura T, Chen YH* (2016) Gene selection for survival data under dependent censoring, a copula-based approach, Stat Methods Med Res 25(6): 2840–57 [15] Emura T*, Wang W (2016) Semiparametric inference for an accelerated failure time model with dependent truncation, Ann Inst Stat Math 68 (5): 1073–94 [14] Emura T*, Ho YT (2016) A decision theoretic approach to change point estimation for binomial CUSUM control charts, Sequential Anal 35 (2): 238-53 [13] Hu YH, Emura T* (2015) Maximum likelihood estimation for a special exponential family under random double-truncation, Computation Stat 30 (4): 1199-229 [12] Emura T*, Murotani K (2015) An algorithm for estimating survival under a copula-based dependent truncation model, TEST 24 (4): 734-51 [11] Emura T*, Konno Y, Michimae H (2015) Statistical inference based on the nonparametric maximum likelihood estimator under double-truncation, Lifetime Data Anal 21 (3): 397-418 [10] Emura T*, Lin YS (2015) A comparison of normal approximation rules for attribute control charts, Qual Reliab Eng Int 31 (No.3): 411–18 [9] Emura T*, Kao FS, Michimae H (2014) An improved nonparametric estimator of sub-distribution function for bivariate competing risk models, J Multivar Anal 132: 229-41 [8] Emura T , Chen YH*, Chen HY (2012) Survival prediction based on compound covariate method under Cox proportional hazard models PLoS ONE 7 (10). doi:10.1371/journal.pone.0047627 [7] Emura T, Wang W* (2012) Nonparametric maximum likelihood estimation for dependent truncation data based on copulas, J Multivar Anal 110, 171-88 [6] Emura T, Konno Y* (2012) A goodness-of-fit tests for parametric models based on dependently truncated data, Compt Stat Data Anal 56: 2237-50 [5] Emura T, Konno Y* (2012) Multivariate normal distribution approaches for dependently ttruncated data, Stat Pap 53 (No.1): 133-49 [4] Emura T, Wang W* & Hung HN (2011) Semi-parametric inference for copula models for dependently truncated data, Stat Sinica 21: 349-67 [3] Emura T, Lin CW, Wang W* (2010) A goodness-of-fit test for Archimedean copula models in the presence of right censoring, Compt Stat Data Anal 54: 3033-43 [2] Emura T, Wang H* (2010) Approximate tolerance limits under the log-location-scale models in the presence of censoring, Technometrics 52(No.3): 313-23 [1] Emura T, Wang W* (2010) Testing quasi-independence for truncation data, J Multivar Anal 101: 223-39 |
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Teaching | |
| 2014 Fall Survival analysis I 2014 Fall Quality control 2014 Spring Survival analysis II 2014 Spring High-dimensional data analysis 2016 Fall High-dimensional Data Analysis 2016 Fall Statistical Inference III 2017 Spring Quality Control 2017 Spring Survival Analysis I |
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