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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22755

Title: Testing for decreasing heterogeneity in a new time-varying frailty model
Authors: Munda, Marco
Legrand, Catherine
Duchateau, Luc
Janssen, Paul
Issue Date: 2016
Publisher: SPRINGER
Citation: TEST, 25(4), p. 591-606
Abstract: Frailty models adjust for between-cluster variability in survival data by including a cluster-specific random factor, the frailty term, in the Cox model. The frailty term is assumed to be constant over time. This assumption is questionable in some particular settings, e.g., in cancer clinical trials on chronic myeloid leukaemia. We therefore relax the time-constant heterogeneity assumption and consider frailty models with a time-varying frailty term. Instead of working with hazard models, we rather model the log cumulative hazard function, making use of the mixed model framework, and introduce a time-varying random effect at that level. Simulations demonstrate that the proposed method has acceptable size and power to detect time-dependent clustering. The method is applied to data from a large-scale multicentre clinical trial in patients with chronic myeloid leukaemia.
Notes: [Munda, Marco; Legrand, Catherine] Catholic Univ Louvain, Inst Stat Biostat & Actuarial Sci, B-1348 Louvain, Belgium. [Duchateau, Luc] Univ Ghent, Dept Comparat Physiol & Biometr, Fac Vet Med, B-9820 Merelbeke, Belgium. [Janssen, Paul] Hasselt Univ, Ctr Stat, B-3500 Hasselt, Belgium.
URI: http://hdl.handle.net/1942/22755
DOI: 10.1007/s11749-015-0468-9
ISI #: 000385139400001
ISSN: 1133-0686
Category: A1
Type: Journal Contribution
Validation: ecoom, 2017
Appears in Collections: Research publications

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