English, Article edition: Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data Dimitris Rizopoulos; Geert Verbeke; Emmanuel Lesaffre

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Bookmark: http://trove.nla.gov.au/version/107612
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  • article
Language
  • English

Edition details

Title
  • Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data
Author
  • Dimitris Rizopoulos
  • Geert Verbeke
  • Emmanuel Lesaffre
Physical Description
  • article
Notes
  • 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. Copyright (c) 2009 Royal Statistical Society.
  • RePEc:bla:jorssb:v:71:y:2009:i:3:p:637-654
Language
  • English
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