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 | Source: | 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 | Keywords: | exponential model; generalized Cauchy distribution; conjugacy; maximum likelihood; frailty model; pseudo-likelihood; strong conjugacy; Weibull model | Document URI: | http://hdl.handle.net/1942/14833 | ISSN: | 0962-2802 | e-ISSN: | 1477-0334 | DOI: | 10.1177/0962280214520730 | ISI #: | 000358452800004 | Rights: | © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2016 |
Appears in Collections: | Research publications |
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overdispersionsurvival08.pdf | Peer-reviewed author version | 250.9 kB | Adobe PDF | View/Open |
427.pdf Restricted Access | Published version | 268.7 kB | Adobe PDF | View/Open Request a copy |
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