Bayesian latent time joint mixed-effects model of progression in the Alzheimer's Disease Neuroimaging Initiative

INTRODUCTION: We characterize long-term disease dynamics from cognitively healthy to dementia using data from the Alzheimer's Disease Neuroimaging Initiative. METHODS: We apply a latent time joint mixed-effects model to 16 cognitive, functional, biomarker, and imaging outcomes in Alzheimer'...

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Detalles Bibliográficos
Autores principales: Li, Dan, Iddi, Samuel, Thompson, Wesley K., Rafii, Michael S., Aisen, Paul S., Donohue, Michael C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Diagnostic Assessment & Prognosis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234901/
https://www.ncbi.nlm.nih.gov/pubmed/30456292
http://dx.doi.org/10.1016/j.dadm.2018.07.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6234901/
https://www.ncbi.nlm.nih.gov/pubmed/30456292
http://dx.doi.org/10.1016/j.dadm.2018.07.008

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