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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2059

Title: Understanding heterogeneity in generalized mixed and frailty models
Authors: DUCHATEAU, Luc
Issue Date: 2005
Citation: AMERICAN STATISTICIAN, 59(2). p. 143-146
Abstract: Variance components are useful parameters to quantify the different sources of randomness in hierarchical models. Interpreting the variance components in generalized mixed and frailty models is not straightforward because the variance is not directly related to quantities with a biological meaning. We therefore investigate how the estimated values of the variance components affect the variability of specific quantities of interest such as the prevalence or the median time to event. We discuss two examples from veterinary science with clustering between animals and show for these examples how variance components can be interpreted in the case of a binary and time-to-event response variable.
Notes: State Univ Ghent, Fac Med Vet, Dept Physiol Biochem & Biometr, B-9820 Merelbeke, Belgium. Limburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium.Duchateau, L, State Univ Ghent, Fac Med Vet, Dept Physiol Biochem & Biometr, Salisburylaan 133, B-9820 Merelbeke, Belgium.Luc.Duchateau@Ugent.be
URI: http://hdl.handle.net/1942/2059
DOI: 10.1198/000313005X43236
ISI #: 000228514200004
ISSN: 0003-1305
Category: A1
Type: Journal Contribution
Validation: ecoom, 2006
Appears in Collections: Research publications

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