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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8744

Title: Evaluating time to cancer recurrence as a surrogate marker for survival from an information theory perspective
Authors: Alonso Abad, Ariel
Molenberghs, Geert
Issue Date: 2008
Publisher: SAGE PUBLICATIONS LTD
Citation: STATISTICAL METHODS IN MEDICAL RESEARCH, 17(5). p. 497-504
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 loth 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.
Notes: [Alonso, Ariel; Molenberghs, Geert] Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/8744
DOI: 10.1177/0962280207081851
ISI #: 000260216700005
ISSN: 0962-2802
Category: A1
Type: Journal Contribution
Validation: ecoom, 2009
Appears in Collections: Research publications

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