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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/4032

Title: Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS
Authors: Tilahun, Eshete, Abel
Pryseley, Assam
Alonso Abad, Ariel
Molenberghs, Geert
Issue Date: 2007
Publisher: ELSEVIER SCIENCE BV
Citation: COMPUTATIONAL STATISTICS & DATA ANALYSIS, 51(9). p. 4152-4163
Abstract: The evaluation of surrogate endpoints is thought to be first studied by Prentice, who presented a definition of a surrogate as well as a set of criteria. These criteria were later supplemented with the so-called proportion explained after notifying some drawbacks in Prentice's approach. Subsequently, the evaluation exercise was framed within a meta-analytic setting, thereby overcoming difficulties that necessarily surround evaluation efforts based on a single trial. The meta-analytic approach for continuous outcomes is briefly reviewed. Advantages and problems are highlighted by means of two case studies, one in schizophrenia and one in ophthalmology, and a simulation study. One of the critical issues for the broad adoption of methodology like the one presented here is the availability of flexible implementations in standard statistical software. Generically applicable SAS macros and R functions are developed and made available to the reader. (c) 2007 Elsevier B.V. All rights reserved.
Notes: Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium.MOLENBERGHS, G, Hasselt Univ, Ctr Stat, Agoralaan 1, B-3590 Diepenbeek, Belgium.geert.molenberghs@uhasselt.be
URI: http://hdl.handle.net/1942/4032
DOI: 10.1016/j.csda.2007.02.007
ISI #: 000246606000005
ISSN: 0167-9473
Category: A1
Type: Journal Contribution
Validation: ecoom, 2008
Appears in Collections: Research publications

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