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Bayesian quantile regression joint models: inference and dynamic predictions

In the traditional joint models (JM) of a longitudinal and time-to-event outcome, a linear mixed model (LMM) assuming normal random errors is used to model the longitudinal process. However, in many circumstances, the normality assumption is violated and the LMM is not an appropriate sub-model in th...

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Bibliografische gegevens
Gepubliceerd in:Stat Methods Med Res
Hoofdauteurs: Yang, Ming, Luo, Sheng, DeSantis, Stacia
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: 2018
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6050160/
https://ncbi.nlm.nih.gov/pubmed/29962288
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280218784757
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