| Comparison of the marginal hazard model and the sub-distribution hazard model for competing risks under an assumed copula T Emura, JH Shih, ID Ha, RA Wilke Statistical methods in medical research 29 (8), 2307-2327, 2020 | 37 | 2020 |
| Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula JH Shih, T Emura Computational Statistics 33 (3), 1293-1323, 2018 | 33 | 2018 |
| Bivariate dependence measures and bivariate competing risks models under the generalized FGM copula JH Shih, T Emura Statistical Papers 60 (4), 1101-1118, 2019 | 22 | 2019 |
| Estimation of a common mean vector in bivariate meta-analysis under the FGM copula JH Shih, Y Konno, YT Chang, T Emura Statistics 53 (3), 673-695, 2019 | 19 | 2019 |
| Copula-based estimation methods for a common mean vector for bivariate meta-analyses JH Shih, Y Konno, YT Chang, T Emura Symmetry 14 (2), 186, 2022 | 16 | 2022 |
| Fitting competing risks data to bivariate Pareto models JH Shih, W Lee, LH Sun, T Emura Communications in Statistics-Theory and Methods 48 (5), 1193-1220, 2019 | 16 | 2019 |
| On the copula correlation ratio and its generalization JH Shih, T Emura Journal of Multivariate Analysis 182, 104708, 2021 | 15 | 2021 |
| Penalized Cox regression with a five-parameter spline model JH Shih, T Emura Communications in Statistics-Theory and Methods 50 (16), 3749-3768, 2021 | 14 | 2021 |
| Flexible parametric copula modeling approaches for clustered survival data S Kwon, I Do Ha, JH Shih, T Emura Pharmaceutical statistics, 2021 | 12 | 2021 |
| Robust ridge M-estimators with pretest and Stein-rule shrinkage for an intercept term JH Shih, TY Lin, M Jimichi, T Emura Japanese Journal of Statistics and Data Science 4 (1), 107-150, 2021 | 11 | 2021 |
| A class of general pretest estimators for the univariate normal mean JH Shih, Y Konno, YT Chang, T Emura Communications in Statistics-Theory and Methods 52 (8), 2538-2561, 2023 | 6 | 2023 |
| Dependence measures and competing risks models under the generalized Farlie-Gumbel-Morgenstern copula JH Shih National Central University, 2016 | 2 | 2016 |
| Maximum likelihood estimation of a common mean vector in the bivariate FGM copula model for meta-analysis JH Shih, YT Chang, Y Konno, T Emura 2018 Japanese Joint Statistical Meeting, Tokyo, http://www. jfssa. jp/taikai …, 2018 | 1 | 2018 |
| Package ‘Bivariate. Pareto’ JH Shih, W Lee, MJH Shih | | 2019 |
| Package ‘GFGM. copula’ JH Shih, MJH Shih | | 2019 |
| Supplementary Material: On the copula correlation ratio and its generalization JH Shih, T Emura | | |
| Supplementary Material: Comparison of the marginal hazard model and the sub-distribution hazard model for competing risks under an assumed copula T Emura, JH Shih, I Do Ha, RA Wilke | | |
| PROGRAMS FOR SEMIPARAMETRIC COX REGRESSION WITH CUBIC M-SPLINE T EMURA, J SHIH | | |
