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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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| Published in: | Stat Methods Med Res |
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| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
2020
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| Subjects: | |
| Online Access: | 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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