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A Two-Stage Approach for Bayesian Joint Models of Longitudinal and Survival Data: Correcting Bias with Informative Prior

Joint models of longitudinal and survival outcomes have gained much popularity in recent years, both in applications and in methodological development. This type of modelling is usually characterised by two submodels, one longitudinal (e.g., mixed-effects model) and one survival (e.g., Cox model), w...

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Bibliografski detalji
Izdano u:Entropy (Basel)
Glavni autori: Leiva-Yamaguchi, Valeria, Alvares, Danilo
Format: Artigo
Jezik:Inglês
Izdano: MDPI 2020
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7824570/
https://ncbi.nlm.nih.gov/pubmed/33396212
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e23010050
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