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Dynamic Prediction of Alzheimer’s Disease Progression Using Features of Multiple Longitudinal Outcomes and Time-to-Event Data
This paper is motivated by combining serial neurocognitive assessments and other clinical variables for monitoring the progression of Alzheimer’s disease (AD). We propose a novel framework for the use of multiple longitudinal neurocognitive markers to predict the progression of AD. The conventional...
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| Pubblicato in: | Stat Med |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6800781/ https://ncbi.nlm.nih.gov/pubmed/31386218 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8334 |
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