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Joint modeling of multivariate longitudinal data and survival data in several observational studies of Huntington’s disease
BACKGROUND: Joint modeling is appropriate when one wants to predict the time to an event with covariates that are measured longitudinally and are related to the event. An underlying random effects structure links the survival and longitudinal submodels and allows for individual-specific predictions....
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| Опубликовано в: : | BMC Med Res Methodol |
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| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
BioMed Central
2018
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6240282/ https://ncbi.nlm.nih.gov/pubmed/30445915 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-018-0592-9 |
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