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Communications in Statistics - Simulation and Computation Volume 52, 2023 - Issue 2
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Article

Dynamic lifetime prediction using a Weibull-based bivariate failure time model: a meta-analysis of individual-patient data

Sayaka Shinoharaa Department of Clinical Medicine (Biostatistics), Kitasato University, Tokyo, JapanCorrespondence[email protected]
,
Yuan-Hsin Linb Department of Information Management, Chang Gung University, Taoyuan City, Taiwan
,
Hirofumi Michimaea Department of Clinical Medicine (Biostatistics), Kitasato University, Tokyo, Japan
&
Takeshi Emurab Department of Information Management, Chang Gung University, Taoyuan City, Taiwan
Pages 349-368 | Received 29 Aug 2019, Accepted 19 Nov 2020, Published online: 08 Dec 2020

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Yuan-Hsin Lin, Li-Hsien Sun, Yi-Ju Tseng & Takeshi Emura. (2024) The Pareto type I joint frailty-copula model for clustered bivariate survival data. Communications in Statistics - Simulation and Computation 53:4, pages 2006-2030.
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Articles from other publishers (9)

Kanwarpartap Singh Gill, Vatsala Anand, Rahul Chauhan & Manish Sharma. (2023) Predicting Life Expectancy using Machine Learning Approach through Linear Regression and Decision Tree Classification Techniques. Predicting Life Expectancy using Machine Learning Approach through Linear Regression and Decision Tree Classification Techniques.
Silvana Schneider, Rodrigo Citton P. dos Reis, Maicon M. F. Gottselig, Patrícia Fisch, Daniela Riva Knauth & Álvaro Vigo. (2023) Clayton copula for survival data with dependent censoring: An application to a tuberculosis treatment adherence data. Statistics in Medicine 42:23, pages 4057-4081.
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Takeshi Emura & Hirofumi Michimae. (2022) Left‐truncated and right‐censored field failure data: Review of parametric analysis for reliability. Quality and Reliability Engineering International 38:7, pages 3919-3934.
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Nanami Taketomi, Kazuki Yamamoto, Christophe Chesneau & Takeshi Emura. (2022) Parametric Distributions for Survival and Reliability Analyses, a Review and Historical Sketch. Mathematics 10:20, pages 3907.
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Ryo Kawakami, Hirofumi Michimae & Yuan-Hsin Lin. (2021) Assessing the numerical integration of dynamic prediction formulas using the exact expressions under the joint frailty-copula model. Japanese Journal of Statistics and Data Science 4:2, pages 1293-1321.
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Eduardo de Freitas Costa, Silvana Schneider, Giulia Bagatini Carlotto, Tainá Cabalheiro & Mauro Ribeiro de Oliveira Júnior. (2021) Zero-inflated-censored Weibull and gamma regression models to estimate wild boar population dispersal distance. Japanese Journal of Statistics and Data Science 4:2, pages 1133-1155.
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Debanjan Mitra, Debasis Kundu & Narayanaswamy Balakrishnan. (2021) Likelihood analysis and stochastic EM algorithm for left truncated right censored data and associated model selection from the Lehmann family of life distributions. Japanese Journal of Statistics and Data Science 4:2, pages 1019-1048.
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Xin-Wei Huang, Weijing Wang & Takeshi Emura. (2020) A copula-based Markov chain model for serially dependent event times with a dependent terminal event. Japanese Journal of Statistics and Data Science 4:2, pages 917-951.
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Nanami Taketomi, Yoshihiko Konno, Yuan-Tsung Chang & Takeshi Emura. (2021) A Meta-Analysis for Simultaneously Estimating Individual Means with Shrinkage, Isotonic Regression and Pretests. Axioms 10:4, pages 267.
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