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Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-to-Event Data: An Application to Alzheimer’s Disease
In the study of Alzheimer’s disease (AD), researchers often collect repeated measurements of clinical variables, event history, and functional data. If the health measurements deteriorate rapidly, patients may reach a level of cognitive impairment and are diagnosed as having dementia. An accurate pr...
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| Publicado no: | Stat Methods Med Res |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5557714/ https://ncbi.nlm.nih.gov/pubmed/28750578 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280217722177 |
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