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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11142

Title: Joint modeling of progression-free survival and death in advanced cancer clinical trials
Authors: DEJARDIN, David
LESAFFRE, Emmanuel
Issue Date: 2010
Citation: STATISTICS IN MEDICINE, 29 (16). p. 1724-1734
Abstract: Progression-related endpoints (such as time to progression or progression-free survival) and time to death are common endpoints in cancer clinical trials. It is of interest to study the link between progression-related endpoints and time to death (e.g. to evaluate the degree of surrogacy). However, current methods ignore some aspects of the definitions of progression-related endpoints. We review those definitions and investigate their impact on modeling the joint distribution. Further, we propose a multi-state model in which the association between the endpoints is modeled through a frailty term. We also argue that interval-censoring needs to be taken into account to more closely match the latent disease evolution. The joint distribution and an expression for Kendall's tau are derived. The model is applied to data from a clinical trial in advanced metastatic ovarian cancer. Copyright (C) 2010 John Wiley & Sons, Ltd.
Notes: [Dejardin, David; Lesaffre, Emmanuel; Verbeke, Geert] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, B-3000 Louvain, Belgium. [Dejardin, David; Lesaffre, Emmanuel; Verbeke, Geert] Univ Hasselt, B-3000 Louvain, Belgium. [Dejardin, David] Bristol Myers Squibb Co, Global Biometr Sci, B-1420 Braine Ialleud, Belgium. [Lesaffre, Emmanuel] Erasmus MC, Dept Biostat, Rotterdam, Netherlands. david.dejardin@med.kuleuven.be
URI: http://hdl.handle.net/1942/11142
DOI: 10.1002/sim.3918
ISI #: 000279858000006
ISSN: 0277-6715
Category: A1
Type: Journal Contribution
Validation: ecoom, 2011
Appears in Collections: Research publications

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