Journal
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY
Volume 71, Issue -, Pages 637-654Publisher
WILEY-BLACKWELL PUBLISHING, INC
DOI: 10.1111/j.1467-9868.2008.00704.x
Keywords
B-splines; Dropout; Longitudinal models; Shared parameter model; Survival models; Time to event
Categories
Funding
- Belgian Government (Belgian science policy) [P6/03]
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A common objective in longitudinal studies is the joint modelling of a longitudinal response with a time-to-event outcome. Random effects are typically used in the joint modelling framework to explain the interrelationships between these two processes. However, estimation in the presence of random effects involves intractable integrals requiring numerical integration. We propose a new computational approach for fitting such models that is based on the Laplace method for integrals that makes the consideration of high dimensional random-effects structures feasible. Contrary to the standard Laplace approximation, our method requires much fewer repeated measurements per individual to produce reliable results.
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