Joint modeling of multivariate longitudinal data and survival data in several observational studies of Huntington’s disease

Joint modeling of multivariate longitudinal data and survival data in several observational studies of Huntington’s disease

Abstract 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 pred...

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Bibliographic Details
Main Authors: Jeffrey D. Long, James A. Mills
Format: Article
Language:English
Published: BMC 2018-11-01
Series:BMC Medical Research Methodology
Subjects:
Joint modeling (JM) - survival analysis - linear mixed modeling (LMM) - external validation - proportional hazards model - Huntington’s disease (HD)
Online Access:http://link.springer.com/article/10.1186/s12874-018-0592-9

Internet

http://link.springer.com/article/10.1186/s12874-018-0592-9

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