An improved nonparametric estimator of sub-distribution function for bivariate competing risk models. - Takeshi Emura; Fan-Hsuan Kao; Hirofumi Michimae (J. Multivar. Anal., 2014)

Reconsidering the estimation of costs of phenotypic plasticity using the robust ridge estimator. - Hirofumi Michimae; Akiomi Yoshida; Takeshi Emura; Masatoshi Matsunami; Kinya Nishimura (Ecol. Informatics, 2018)

Meta-analysis of individual patient data with semi-competing risks under the Weibull joint frailty-copula model. - Bo-Hong Wu; Hirofumi Michimae; Takeshi Emura (Comput. Stat., 2020)

meta.shrinkage: An R Package for Meta-Analyses for Simultaneously Estimating Individual Means. - Nanami Taketomi; Hirofumi Michimae; Yuan-Tsung Chang; Takeshi Emura (Algorithms, 2022)

Bayesian ridge estimators based on copula-based joint prior distributions for regression coefficients. - Hirofumi Michimae; Takeshi Emura (Comput. Stat., 2022)

Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web Applications. - Takeshi Emura; Hirofumi Michimae; Shigeyuki Matsui (Entropy, 2022)

Left-truncated and right-censored field failure data: Review of parametric analysis for reliability. - Takeshi Emura; Hirofumi Michimae (Qual. Reliab. Eng. Int., 2022)

Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data. - Sayaka Shinohara; Yuan-Hsin Lin; Hirofumi Michimae; Takeshi Emura (Commun. Stat. Simul. Comput., 2023)

g.ridge: An R Package for Generalized Ridge Regression for Sparse and High-Dimensional Linear Models. - Takeshi Emura; Koutarou Matsumoto; Ryuji Uozumi; Hirofumi Michimae (Symmetry, 2024)

Bayesian ridge estimators based on copula-based joint prior distributions for logistic regression parameters. - Yuto Aizawa; Takeshi Emura; Hirofumi Michimae (Commun. Stat. Simul. Comput., 2025)