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Evaluating time to cancer recurrence as a surrogate marker for survival from an information theory perspective

Center for Statistics, Hasselt University, Diepenbeek, Belgium, ariel.alonso{at}uhasselt.be

Geert Molenberghs

Center for Statistics, Hasselt University, Diepenbeek, Belgium

The last two decades have seen a lot of development in the area of surrogate marker validation. One of these approaches places the evaluation in a meta-analytic framework, leading to definitions in terms of trial- and individual-level association. A drawback of this methodology is that different settings have led to different measures at the individual level. Using information theory, Alonso et al. proposed a unified framework, leading to a new definition of surrogacy, which offers interpretational advantages and is applicable in a wide range of situations. In this work, we illustrate how this information-theoretic approach can be used to evaluate surrogacy when both endpoints are of a time-to-event type. Two meta-analyses, in early and advanced colon cancer, respectively, are then used to evaluate the performance of time to cancer recurrence as a surrogate for overall survival.

This version was published on October 1, 2008

Statistical Methods in Medical Research, Vol. 17, No. 5, 497-504 (2008)
DOI: 10.1177/0962280207081851


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