Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/10891
Title: Using earlier measures in a longitudinal sequence as a potential surrogate for a later one
Authors: ASSAM NKOUIBERT, Pryseley 
TILAHUN ESHETE, Abel 
ALONSO ABAD, Ariel 
MOLENBERGHS, Geert 
Issue Date: 2010
Publisher: ELSEVIER SCIENCE BV
Source: COMPUTATIONAL STATISTICS & DATA ANALYSIS, 54(5). p. 1342-1354
Abstract: The number of potential surrogate markers for clinical-trial endpoints is increasing rapidly, not in the least owing to the availability of biomarkers. At the same time, considerable development has taken place regarding statistical evaluation paradigms for such markers. As a consequence, such endpoints are given more extensive consideration for practice than previously had been the case. A particular but important instance is where the true endpoint is the ultimate assessment in a sequence of repeated measures. It is then appealing to consider earlier measures, either in isolation or several combined, as a potential surrogate endpoint. The length and cost reducing potential has to be weighed carefully against loss in precision and the risks of an inappropriate decision regarding a new compound's fate. Quantitative criteria to do so are developed, embedded in a meta-analytic framework. The methodology's behavior is assessed through simulations and applied to data from a pair of clinical trials, one in ophthalmology and one in schizophrenia. (C) 2009 Elsevier B.V. All rights reserved.
Notes: [Molenberghs, Geert] Univ Hasselt, Ctr Stat, Interuniv Inst Biostat & Stat Bioinformat, B-3590 Diepenbeek, Belgium. [Molenberghs, Geert] Katholieke Univ Leuven, Interuniv Inst Biostat & Stat Bioinformat, Louvain, Belgium. geert.molenberghs@uhasselt.be
Keywords: biomarker; cost function; opthalmology; schizophrenia
Document URI: http://hdl.handle.net/1942/10891
ISSN: 0167-9473
e-ISSN: 1872-7352
DOI: 10.1016/j.csda.2009.11.024
ISI #: 000276085800012
Rights: © 2009 Elsevier B.V. All rights reserved.
Category: A1
Type: Journal Contribution
Validations: ecoom 2011
Appears in Collections:Research publications

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