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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/659

Title: Validation of a longitudinally measured surrogate for a time-to-event endpoint
Authors: Renard, Didier
Geys, Helena
Molenberghs, Geert
Burzykowski, Tomasz
Buyse, Marc E.
Vangeneugden, Tony
Bijnens, Luc J.M.
Keywords: Clinical trials
Longitudinal data
Surrogate Markers
Issue Date: 2003
Citation: Journal of Applied Statistics, 30(2). p. 235-247
Abstract: The objective of this paper is to extend the surrogate endpoint validation methodology proposed by Buyse et al. (2000) to the case of a longitudinally measured surrogate marker when the endpoint of interest is time to some key clinical event. A joint model for longitudinal and event time data is required. To this end, the model formulation of Henderson et al. (2000) is adopted. The methodology is applied to a set of two randomized clinical trials in advanced prostate cancer to evaluate the usefulness of prostate-specific antigen (PSA) level as a surrogate for survival.
URI: http://hdl.handle.net/1942/659
DOI: 10.1080/0266476022000023776
ISI #: 000180623500008
ISSN: 0266-4763
Category: A1
Type: Journal Contribution
Validation: ecoom, 2004
Appears in Collections: Research publications

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