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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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| Gepubliceerd in: | Stat Methods Med Res |
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| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2018
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| 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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