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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9780

Title: Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data
Authors: Rizopoulos, Dimitris
VERBEKE, Geert
LESAFFRE, Emmanuel
Issue Date: 2009
Publisher: WILEY-BLACKWELL PUBLISHING, INC
Citation: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 71. p. 637-654
Abstract: 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.
Notes: [Rizopoulos, Dimitris] Erasmus Univ, Med Ctr, Dept Biostat, NL-3000 CA Rotterdam, Netherlands. [Verbeke, Geert; Lesaffre, Emmanuel] Katholieke Univ Leuven, Diepenbeek, Belgium. [Verbeke, Geert; Lesaffre, Emmanuel] Univ Hasselt, Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/9780
DOI: 10.1111/j.1467-9868.2008.00704.x
ISI #: 000266602200004
ISSN: 1369-7412
Category: A1
Type: Journal Contribution
Validation: ecoom, 2010
Appears in Collections: Research publications

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