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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10352

Title: The regression analysis of correlated interval-censored data: illustration using accelerated failure time models with flexible distributional assumptions
Authors: Komarek, Arnost
LESAFFRE, Emmanuel
Issue Date: 2009
Publisher: SAGE PUBLICATIONS LTD
Citation: STATISTICAL MODELLING, 9 (4). p. 299-319
Abstract: The accelerated failure time (AFT) model is a useful alternative to the proportional hazard model for modelling interval-censored survival times. We illustrate the usefulness of a class of flexible AFT models. Flexibility is achieved by assuming that the distributional parts consist of penalized Gaussian mixtures. The AFT models are introduced and exemplified via research questions originating from a longitudinal dental study conducted in Flanders (North of Belgium). Emphasis is put on the analyzes which are performed using routines written in the R-language. They show the practical usefulness of our approach.
Notes: [Komarek, Arnost] Charles Univ Prague, Dept Probabil & Math Stat, Fac Math & Phys, CZ-18675 Prague 8, Karlin, Czech Republic. [Lesaffre, Emmanuel] Erasmus Univ, Dept Biostat, NL-3000 DR Rotterdam, Netherlands. [Lesaffre, Emmanuel] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, Louvain, Belgium. [Lesaffre, Emmanuel] Univ Hasselt, Diepenbeek, Belgium. arnost.komarek@mff.cuni.cz
URI: http://hdl.handle.net/1942/10352
DOI: 10.1177/1471082X0900900403
ISI #: 000272945200003
ISSN: 1471-082X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2011
Appears in Collections: Research publications

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