Validation of a longitudinally measured surrogate marker for a time-to-event endpoint

Didier Renard, Helena Geys, Geert Molenberghs, Tomasz Burzykowski, Marc Buyse, Tony Vangeneugden and Luc Bijnens

Journal of Applied Statistics, 2003, vol. 30, issue 2, 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.

Date: 2003
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DOI: 10.1080/0266476022000023776

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