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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11820

Title: An information-theoretic approach to surrogate-marker evaluation with failure time endpoints
Authors: Pryseley, Assam
Tilahun, Abel
Alonso Abad, Ariel
Molenberghs, Geert
Issue Date: 2011
Publisher: SPRINGER
Citation: LIFETIME DATA ANALYSIS, 17(2). p. 195-214
Abstract: Over the last decades, the evaluation of potential surrogate endpoints in clinical trials has steadily been growing in importance, not only thanks to the availability of ever more potential markers and surrogate endpoints, also because more methodological development has become available. While early work has been devoted, to a large extent, to Gaussian, binary, and longitudinal endpoints, the case of time-to-event endpoints is in need of careful scrutiny as well, owing to the strong presence of such endpoints in oncology and beyond. While work had been done in the past, it was often cumbersome to use such tools in practice, because of the need for fitting copula or frailty models that were further embedded in a hierarchical or two-stage modeling approach. In this paper, we present a methodologically elegant and easy-to-use approach based on information theory. We resolve essential issues, including the quantification of "surrogacy" based on such an approach. Our results are put to the test in a simulation study and are applied to data from clinical trials in oncology. The methodology has been implemented in R.
Notes: [Molenberghs, Geert] Univ Hasselt, B-3590 Diepenbeek, Belgium. [Pryseley, Assam] Singapore Clin Res Inst Pte Ltd, Duke NUS Grad Med Sch, Singapore, Singapore. [Tilahun, Abel] Harvard Univ, Sch Publ Hlth, Dept Biostat, Ctr Biostat AIDS Res, Boston, MA 02115 USA. [Alonso, Ariel] Maastricht Univ, Dept Methodol & Stat, NL-6200 MD Maastricht, Netherlands. [Molenberghs, Geert] Katholieke Univ Leuven, B-3000 Louvain, Belgium.
URI: http://hdl.handle.net/1942/11820
DOI: 10.1007/s10985-010-9185-6
ISI #: 000287664500002
ISSN: 1380-7870
Category: A1
Type: Journal Contribution
Validation: ecoom, 2012
Appears in Collections: Research publications

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