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Functional survival forests for multivariate longitudinal outcomes: Dynamic prediction of Alzheimer’s disease progression

The random survival forest (RSF) is a non-parametric alternative to the Cox proportional hazards model in modeling time-to-event data. In this article, we developed a modeling framework to incorporate multivariate longitudinal data in the model building process to enhance the predictive performance...

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Détails bibliographiques
Publié dans:Stat Methods Med Res
Auteurs principaux: Lin, Jeffrey, Li, Kan, Luo, Sheng
Format: Artigo
Langue:Inglês
Publié: 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7855476/
https://ncbi.nlm.nih.gov/pubmed/32726189
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280220941532
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