Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/9511
Title: | Shared parameter models under random effects misspecification | Authors: | Rizopoulos, Dimitris VERBEKE, Geert MOLENBERGHS, Geert |
Issue Date: | 2008 | Publisher: | OXFORD UNIV PRESS | Source: | BIOMETRIKA, 95(1). p. 63-74 | Abstract: | A common objective in longitudinal studies is the investigation of the association structure between a longitudinal response process and the time to an event of interest. An attractive paradigm for the joint modelling of longitudinal and survival processes is the shared parameter framework, where a set of random effects is assumed to induce their interdependence. In this work, we propose an alternative parameterization for shared parameter models and investigate the effect of misspecifying the random effects distribution in the parameter estimates and their standard errors. | Notes: | [Rizopoulos, Dimitris; Verbeke, Geert] Catholic Univ Louvain, Ctr Biostat, B-3000 Louvain, Belgium. [Molenberghs, Geert] Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium. | Keywords: | copula function; dropout; joint modelling; sandwich variance estimator;copula function; dropout; joint modelling; sandwich variance estimator | Document URI: | http://hdl.handle.net/1942/9511 | ISSN: | 0006-3444 | e-ISSN: | 1464-3510 | DOI: | 10.1093/biomet/asm087 | ISI #: | 000253746500005 | Rights: | (C) 2008 Biometrika Trust | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2009 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
GeertMolenberghs22.pdf | Peer-reviewed author version | 251.44 kB | Adobe PDF | View/Open |
asm087.pdf Restricted Access | Published version | 161.83 kB | Adobe PDF | View/Open Request a copy |
SCOPUSTM
Citations
83
checked on Sep 2, 2020
WEB OF SCIENCETM
Citations
101
checked on Oct 12, 2024
Page view(s)
76
checked on Sep 7, 2022
Download(s)
238
checked on Sep 7, 2022
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.