title: Evaluating time to cancer recurrence as a surrogate marker for survival from an information theory perspective.
abstract: 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.
authors.affiliation: Center for Statistics, Hasselt University, Diepenbeek, Belgium. ariel.alonso@uhasselt.be
authors.forename: Ariel
authors.initials: A
authors.lastname: Alonso
authors.forename: Geert
authors.initials: G
authors.lastname: Molenberghs
mesh_terms: D015415:Biomarkers; D006801:Humans; D015201:Meta-Analysis as Topic; D008962:Models, Theoretical; D009364:Neoplasm Recurrence, Local; D016016:Proportional Hazards Models; D015203:Reproducibility of Results; D016019:Survival Analysis; D013997:Time Factors
chemical_list: D015415:Biomarkers