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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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| Опубликовано в: : | Alzheimers Dement (Amst) |
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| Главные авторы: | , , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6234901/ https://ncbi.nlm.nih.gov/pubmed/30456292 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dadm.2018.07.008 |
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