Validation of a longitudinally measured surrogate marker for a time-to-event endpoint
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.
Year of publication: |
2003
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Authors: | Renard, Didier ; Geys, Helena ; Molenberghs, Geert ; Burzykowski, Tomasz ; Buyse, Marc ; Vangeneugden, Tony ; Bijnens, Luc |
Published in: |
Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 30.2003, 2, p. 235-247
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Publisher: |
Taylor & Francis Journals |
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