Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10352
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dc.contributor.authorKomarek, Arnost-
dc.contributor.authorLESAFFRE, Emmanuel-
dc.date.accessioned2010-01-12T20:49:55Z-
dc.date.available2010-01-12T20:49:55Z-
dc.date.issued2009-
dc.identifier.citationSTATISTICAL MODELLING, 9 (4). p. 299-319-
dc.identifier.issn1471-082X-
dc.identifier.urihttp://hdl.handle.net/1942/10352-
dc.description.abstractThe 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.-
dc.description.sponsorshipThe research of the first author was supported by the grant MSM 0021620839 from Ministry of Education, Youth and Sports of the Czech Republic. The second author acknowledges the support from Interuniversity Attraction Poles Programme P6/03, Belgian State, Federal Office for Scientific, Technical and Cultural Affairs and support of the Research Grant OT/05/60, Catholic University Leuven.-
dc.language.isoen-
dc.publisherSAGE PUBLICATIONS LTD-
dc.subject.otheraccelerated failure time model; interval censoring; Markov chain Monte Carlo; paired data; random effects-
dc.subject.otheraccelerated failure time model; interval censoring; Markov chain Monte Carlo; paired data; random effects-
dc.titleThe regression analysis of correlated interval-censored data: illustration using accelerated failure time models with flexible distributional assumptions-
dc.typeJournal Contribution-
dc.identifier.epage319-
dc.identifier.issue4-
dc.identifier.spage299-
dc.identifier.volume9-
local.format.pages21-
local.bibliographicCitation.jcatA1-
dc.description.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-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1177/1471082X0900900403-
dc.identifier.isi000272945200003-
item.contributorKomarek, Arnost-
item.contributorLESAFFRE, Emmanuel-
item.accessRightsClosed Access-
item.fullcitationKomarek, Arnost & LESAFFRE, Emmanuel (2009) The regression analysis of correlated interval-censored data: illustration using accelerated failure time models with flexible distributional assumptions. In: STATISTICAL MODELLING, 9 (4). p. 299-319.-
item.validationecoom 2011-
item.fulltextNo Fulltext-
crisitem.journal.issn1471-082X-
crisitem.journal.eissn1477-0342-
Appears in Collections:Research publications
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