Note: The asterisk denotes the corresponding author/maintainer.
Note: The asterisk denotes the corresponding author/maintainer.
Ongoing Works
Shih JH, Lo SMS, Wilke RA* (2026+) Identifiability of the semiparametric competing risks model with Gumbel dependence under exclusion restrictions, under review
Shih JH, Lo SMS, Wilke RA* (2026) Nonparametric regression with dependent censoring or competing risks, under review [arXiv]
Kwon J, Shih JH, Emura T, Ha ID* (2026+) H-likelihood approach on the joint frailty model for clustered bivariate survival data, in revision
Lai TC, Shih JH*, Chen YH (2025) Nonparametric and semiparametric estimation of upward rank mobility curves [arXiv]
Full Publication List (Peer-Reviewed)
Shih JH*, Chen YH (2026) Measuring multivariate regression association via spatial sign, Computational Statistics & Data Analysis, 215, 108288 [SCIE]
Taketomi N, Shih JH, Emura T* (2026) Confidence interval for a univariate normal mean based on a pretest estimator, Advances in Shrinkage and Penalized Estimation Strategies, Honoring the Contributions of Professor A. K. Md. Ehsanes Saleh, Springer
Shih JH*, Chen YH* (2025) A class of regression association measures based on concordance, The American Statistician, 9(3), 320-329 [SCIE]
Shih JH, Konno Y, Chang YT, Emura T* (2023) A class of general pretest estimators for the univariate normal mean, Communications in Statistics – Theory and Methods, 52(8), 2538-2561 [SCIE]
Shih JH, Konno Y, Chang YT, Emura T* (2022) Copula-based estimation methods for a common mean vector for bivariate meta-analyses, Symmetry, 14(2), 186 [SCIE]
Kwon S, Ha ID*, Shih JH, Emura T (2022) Flexible parametric copula modeling approaches for clustered survival data, Pharmaceutical Statistics, 21(1), 69-88 [SCIE]
Shih JH, Emura T* (2021) On the copula correlation ratio and its generalization, Journal of Multivariate Analysis, 182, 104708 [SCIE]
Shih JH, Lin TY, Jimichi M, Emura T* (2021) Robust ridge M-estimators with pretest and Stein-rule shrinkage for an intercept term, Japanese Journal of Statistics and Data Science, 4(1), 107-150 [ESCI]
Shih JH, Emura T* (2021) Penalized Cox regression with a five-parameter spline model, Communications in Statistics – Theory and Methods, 50(16), 3749-3768 [SCIE]
Emura T*, Shih JH, Ha ID, Wilke RA (2020) Comparison of the marginal hazard model and the sub-distribution hazard model for competing risks under an assumed copula, Statistical Methods in Medical Research, 29(8), 2307-2327 [SCIE]
Shih JH, Konno Y, Chang YT, Emura T* (2019) Estimation of a common mean vector in bivariate meta-analysis under the FGM copula, Statistics, 53(3), 673-695 [SCIE]
Shih JH, Lee W, Sun LH, Emura T* (2019) Fitting competing risks data to bivariate Pareto models, Communications in Statistics – Theory and Methods, 48(5), 1193-1220 [SCIE]
Shih JH, Emura T* (2019) Bivariate dependence measures and bivariate competing risks models under the generalized FGM copula, Statistical Papers, 60(4), 1101-1118 [SCIE]
Shih JH, Emura T* (2018) Likelihood-based inference for bivariate latent failure time models with competing risks under the generalized FGM copula, Computational Statistics, 33(3), 1293-1323 [SCIE]
Technical Notes (Not Peer-Reviewed)
Shih JH* (2025) Expectation of some ratio-type estimators under the gamma distribution [arXiv]
Conference Proceedings (Not Peer-Reviewed)
Emura T*, Shih JH (2019) Programs for semiparametric Cox regression with cubic M-spline, The 11th International Conference on Mathematical Methods in Reliability (MMR 2019) Conference Proceedings, Hong Kong
Shih JH*, Chang YT, Konno Y, Emura T (2018) Maximum likelihood estimation of a common mean vector in the bivariate FGM copula model for meta-analysis, 2018 Japanese Joint Statistical Meeting, Japan
R Packages
Shih JH*, Chen YH (2026) MRAM: Multivariate Regression Association Measure
Shih JH* (2022) CommonMean.Copula: Common Mean Vector under Copula Models
Shih JH*, Lee W (2019) Bivariate.Pareto: Bivariate Pareto Models
Shih JH* (2019) GFGM.copula: Generalized Farlie-Gumbel-Morgenstern Copula