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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/19886

Title: Flexible modelling of simultaneously interval censored and truncated time-to-event data
Authors: Chebon, Sammy
Faes, Christel
De Smedt, Ann
Geys, Helena
Issue Date: 2015
Citation: PHARMACEUTICAL STATISTICS, 14 (4), p. 311-321
Abstract: This paper deals with the analysis of data from a HET-CAM(VT) experiment. From a statistical perspective, such data yield many challenges. First of all, the data are typically time-to-event like data, which are at the same time interval censored and right truncated. In addition, one has to cope with overdispersion as well as clustering. Traditional analysis approaches ignore overdispersion and clustering and summarize the data into a continuous score that can be analysed using simple linear models. In this paper, a novel combined frailty model is developed that simultaneously captures all of the aforementioned statistical challenges posed by the data. Copyright (c) 2015John Wiley & Sons, Ltd.
Notes: [Chebon, Sammy; Faes, Christel; Geys, Helena] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat, Diepenbeek, Belgium. [De Smedt, Ann; Geys, Helena] Janssen Pharmaceut NV, Beerse, Belgium.
URI: http://hdl.handle.net/1942/19886
DOI: 10.1002/pst.1687
ISI #: 000357892000005
ISSN: 1539-1604
Category: A1
Type: Journal Contribution
Validation: ecoom, 2016
Appears in Collections: Research publications

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