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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14833

Title: A combined gamma frailty and normal random-effects model for repeated, overdispersed time-to-event data
Authors: Molenberghs, Geert
Verbeke, Geert
Efendi, Achmad
Braekers, Roel
Demétrio, Clarice G.B.
Issue Date: 2014
Citation: Statistical Methods in Medical Research, 24 (4), p. 434-452
Abstract: This paper presents, extends, and studies a model for repeated, overdispersed time-to-event outcomes, subject to censoring. Building upon work by Molenberghs, Verbeke en Demétrio(2007) and Molenberghs et al. (2010), gamma and normal random effects are included in a Weibull model, to account for overdispersion and between-subjects effects, respectively. Unlike these authors, censoring is allowed for. Two estimation methods are presented. The partial marginalization approach to full maximum likelihood of Molenberghs et al. (2010) is contrasted with pseudo-likelihood estimation. A limited simulation study is conducted to examine the relative merits of these estimation methods. The modeling framework is employed to analyze data on recurrent asthma attacks in children on the one hand and on survival in cancer patients on the other.
Notes: Corresponding author: Geert Molenberghs, I-BioStat, Universiteit Hasselt, B-3590 Diepenbeek, Belgium. geert.molenberghs@uhasselt.be
URI: http://hdl.handle.net/1942/14833
DOI: 10.1177/0962280214520730
ISI #: 000358452800004
ISSN: 0962-2802
Category: A1
Type: Journal Contribution
Validation: ecoom, 2016
Appears in Collections: Research publications

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