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Takeshi Emura

Showing results (1-10 of 17) with videos related to

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Statistical Methods in Medical Research|May 14, 2014
Gene selection for survival data under dependent censoring: A copula-based approachTakeshi Emura, Yi-Hau Chen
Entropy (Basel, Switzerland)|May 28, 2022
Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web ApplicationsTakeshi Emura, Hirofumi Michimae, Shigeyuki Matsui
Statistics in Medicine|March 16, 2026
Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree ConstructionPauline Baur, Markus Pauly, Takeshi Emura
Lifetime Data Analysis|July 9, 2014
Statistical inference based on the nonparametric maximum likelihood estimator under double-truncationTakeshi Emura, Yoshihiko Konno, Hirofumi Michimae
Statistical Methods in Medical Research|October 11, 2021
Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trialsTakeshi Emura, Casimir Ledoux Sofeu, Virginie Rondeau
Computer Methods and Programs in Biomedicine|December 12, 2018
compound.Cox: Univariate feature selection and compound covariate for predicting survivalTakeshi Emura, Shigeyuki Matsui, Hsuan-Yu Chen
Biometrical Journal. Biometrische Zeitschrift|October 2, 2020
A joint frailty-copula model for meta-analytic validation of failure time surrogate endpoints in clinical trialsCasimir L Sofeu, Takeshi Emura, Virginie Rondeau
Statistics in Medicine|April 19, 2019
One-step validation method for surrogate endpoints using data from multiple randomized cancer clinical trials with failure-time endpointsCasimir Ledoux Sofeu, Takeshi Emura, Virginie Rondeau
Statistical Methods in Medical Research|December 9, 2023
Factorial survival analysis for treatment effects under dependent censoringTakeshi Emura, Marc Ditzhaus, Dennis Dobler, et al.
Journal of Applied Statistics|January 26, 2023
A survival tree based on stabilized score tests for high-dimensional covariatesTakeshi Emura, Wei-Chern Hsu, Wen-Chi Chou
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Statistical Methods in Medical Research|May 14, 2014
Gene selection for survival data under dependent censoring: A copula-based approachTakeshi Emura, Yi-Hau Chen
Entropy (Basel, Switzerland)|May 28, 2022
Dynamic Risk Prediction via a Joint Frailty-Copula Model and IPD Meta-Analysis: Building Web ApplicationsTakeshi Emura, Hirofumi Michimae, Shigeyuki Matsui
Statistics in Medicine|March 16, 2026
Permutation Tests Based on the Copula-Graphic Estimator and Their Use for Survival Tree ConstructionPauline Baur, Markus Pauly, Takeshi Emura
Lifetime Data Analysis|July 9, 2014
Statistical inference based on the nonparametric maximum likelihood estimator under double-truncationTakeshi Emura, Yoshihiko Konno, Hirofumi Michimae
Statistical Methods in Medical Research|October 11, 2021
Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trialsTakeshi Emura, Casimir Ledoux Sofeu, Virginie Rondeau
Computer Methods and Programs in Biomedicine|December 12, 2018
compound.Cox: Univariate feature selection and compound covariate for predicting survivalTakeshi Emura, Shigeyuki Matsui, Hsuan-Yu Chen
Biometrical Journal. Biometrische Zeitschrift|October 2, 2020
A joint frailty-copula model for meta-analytic validation of failure time surrogate endpoints in clinical trialsCasimir L Sofeu, Takeshi Emura, Virginie Rondeau
Statistics in Medicine|April 19, 2019
One-step validation method for surrogate endpoints using data from multiple randomized cancer clinical trials with failure-time endpointsCasimir Ledoux Sofeu, Takeshi Emura, Virginie Rondeau
Statistical Methods in Medical Research|December 9, 2023
Factorial survival analysis for treatment effects under dependent censoringTakeshi Emura, Marc Ditzhaus, Dennis Dobler, et al.
Journal of Applied Statistics|January 26, 2023
A survival tree based on stabilized score tests for high-dimensional covariatesTakeshi Emura, Wei-Chern Hsu, Wen-Chi Chou
Pageof 2