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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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| Publicat a: | Stat Methods Med Res |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2018
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| Matèries: | |
| Accés en línia: | 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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