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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Hlavní autoři: Yangxin Huang, Jiaqing Chen, Lan Xu, Nian-Sheng Tang
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Media S.A. 2022-04-01
Edice:Frontiers in Big Data
Témata:
Bayesian inference
longitudinal and survival data
Markov Chain Monte Carlo
multivariate joint models
skew-normal distribution
On-line přístup:https://www.frontiersin.org/articles/10.3389/fdata.2022.812725/full
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