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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Detalles Bibliográficos
Autores principales: Long, Jeffrey D., Mills, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6240282/
https://www.ncbi.nlm.nih.gov/pubmed/30445915
http://dx.doi.org/10.1186/s12874-018-0592-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6240282/
https://www.ncbi.nlm.nih.gov/pubmed/30445915
http://dx.doi.org/10.1186/s12874-018-0592-9

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