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Boosted Multivariate Trees for Longitudinal Data
Machine learning methods provide a powerful approach for analyzing longitudinal data in which repeated measurements are observed for a subject over time. We boost multivariate trees to fit a novel flexible semi-nonparametric marginal model for longitudinal data. In this model, features are assumed t...
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| Publicado no: | Mach Learn |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5731792/ https://ncbi.nlm.nih.gov/pubmed/29249866 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10994-016-5597-1 |
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