Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study

Joint models of longitudinal and time-to-event data have received a lot of attention in epidemiological and clinical research under a linear mixed-effects model with the normal assumption for a single longitudinal outcome and Cox proportional hazards model. However, those model-based analyses may no...

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Detalles Bibliográficos
Autores principales: Huang, Yangxin, Chen, Jiaqing, Xu, Lan, Tang, Nian-Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094046/
https://www.ncbi.nlm.nih.gov/pubmed/35574573
http://dx.doi.org/10.3389/fdata.2022.812725

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094046/
https://www.ncbi.nlm.nih.gov/pubmed/35574573
http://dx.doi.org/10.3389/fdata.2022.812725

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