Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study

Tian, Y.-Z. orcid.org/0000-0002-6173-0985, Tang, M.-L., Wong, C. orcid.org/0000-0002-5421-1458 et al. (1 more author) (2024) Bayesian analysis of joint quantile regression for multi-response longitudinal data with application to primary biliary cirrhosis sequential cohort study. Statistical Methods in Medical Research, 33 (7). pp. 1163-1184. ISSN 0962-2802

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Item Type: Article
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© The Author(s) 2024.

Keywords: Joint modeling; Markov chain Monte Carlo; multivariate longitudinal data; quantile regression; sequential cohort study; Bayes Theorem; Liver Cirrhosis, Biliary; Humans; Longitudinal Studies; Monte Carlo Method; Markov Chains; Algorithms; Cohort Studies; Regression Analysis; Models, Statistical; Likelihood Functions
Dates:
  • Published: July 2024
  • Published (online): 27 April 2024
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Arts and Humanities (Sheffield) > School of History, Philosophy and Digital Humanities
Depositing User: Symplectic Sheffield
Date Deposited: 29 Nov 2024 08:53
Last Modified: 29 Nov 2024 08:53
Status: Published
Publisher: SAGE Publications
Refereed: Yes
Identification Number: 10.1177/09622802241247725
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