A Bayesian joint bent-cable model for longitudinal measurements and survival time with heterogeneous random-effects distributions-Reference-Cited by-同舟云学术

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A Bayesian joint bent-cable model for longitudinal measurements and survival time with heterogeneous random-effects distributions

Published:2025-01-20 Issue: Volume: Page:1-14
ISSN:1054-3406
Container-title:Journal of Biopharmaceutical Statistics
language:en
Short-container-title:Journal of Biopharmaceutical Statistics

Author:

Ariyo Oludare¹^ORCID,Olobatuyi Kehinde²^ORCID,Baghfalaki Taban³^ORCID

Affiliation:

1. School of Mathematics, Statistics and Actuarial Science, University of Essex, Colchester, UK

2. Department of Mathematics and Statistics, University of Victoria, Victoria, British Columbia, Canada

3. Department of Mathematics, The University of Manchester, Manchester, UK

Funder

High-Performance Computing Cluster

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10543406.2025.2450321

Reference42 articles.

1. Bayesian joint modelling of longitudinal and time to event data: A methodological review;Alsefri M.;BMC Medical Research Methodology,2020

2. Simultaneous Bayesian modelling of skew-normal longitudinal measurements with non-ignorable dropout

3. Bayesian Model Selection for Longitudinal Count Data

4. Bayesian model selection in linear mixed models for longitudinal data

5. A Bayesian approach for joint modeling of skew-normal longitudinal measurements and time to event data;Baghfalaki T.;REVSTAT-Statistical Journal,2015

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