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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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Main Authors: | , , , |
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Formato: | Artigo |
Idioma: | Inglês |
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Frontiers Media S.A.
2022-04-01
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Colecção: | Frontiers in Big Data |
Assuntos: | |
Acesso em linha: | https://www.frontiersin.org/articles/10.3389/fdata.2022.812725/full |
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