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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/2205

Title: Modelling associations between time-to-event responses in pilot cancer clinical trials using a Plackett-Dale model
Authors: Tibaldi, Fabian
Torres Barbosa, Franz
Molenberghs, Geert
Issue Date: 2004
Citation: STATISTICS IN MEDICINE, 23(14). p. 2173-2186
Abstract: This work was motivated by the need to find surrogate endpoints for survival of patients in oncology studies. The goal of this article is to determine associations between five time-to-event outcomes coming front three clinical trials for non-small cell lung cancer. To this end, we propose to use the multivariate Dale model for time-to-event data introduced by Tibaldi et al. (Stat. Med 2003). We fit the model to these data, using a pseudo-likelihood approach to estimate the model parameters. We evaluate and compare the performance of different dimensional models and we relate the Dale model association parameter, i.e. the odds ratio, to well-known quantities such as Kendall's tau and Spearman's p. Finally, the results are discussed with a perspective on surrogate marker validation. Some suggestions are made regarding further studies in this field. Copyright (C) 2004 John Wiley Sons, Ltd.
Notes: Limburgs Univ Ctr, Transnatl Univ Limburg, Ctr Stat, B-3590 Diepenbeek, Belgium. Ctr Mol Immunol, Havana, Cuba.Tibaldi, F, Limburgs Univ Ctr, Transnatl Univ Limburg, Ctr Stat, Univ Campus, B-3590 Diepenbeek, Belgium.fabian.tibaldi@luc.ac.be
URI: http://hdl.handle.net/1942/2205
DOI: 10.1002/sim.1820
ISI #: 000222489000002
ISSN: 0277-6715
Category: A1
Type: Journal Contribution
Validation: ecoom, 2005
Appears in Collections: Research publications

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