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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 | Source: | 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. | Keywords: | B-splines; Dropout; Longitudinal models; Shared parameter model; Survival models; Time to event | Document URI: | http://hdl.handle.net/1942/9780 | ISSN: | 1369-7412 | e-ISSN: | 1467-9868 | DOI: | 10.1111/j.1467-9868.2008.00704.x | ISI #: | 000266602200004 | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2010 |
Appears in Collections: | Research publications |
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