Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16643

Title: Statistical Validation of Surrogate Markers in Clinical Trials
Authors: Alonso Abad, Ariel
Molenberghs, Geert
Van Breukelen, Gerard
Issue Date: 2014
Publisher: Springer-Verlag
Citation: van Montfort, Kees; Oud, Johan; Ghidey, Wendimagegn (Ed.). Developments in Statistical Evaluation of Clinical Trials, p. 227-246
Abstract: The increasing cost of drug development has raised the demand on the use of biomarkers as surrogate endpoints for the evaluation of new drugs in clinical trials. However, failed past attempts to use surrogate endpoints made it clear that, before deciding on the use of a candidate surrogate endpoint, it is of the utmost importance to investigate its validity. Such validation process has proven challenging for conceptual and practical reasons. In the present chapter, some of the statistical methods introduced for the evaluation of surrogate markers will be discussed. Emphasis will be made on the so-called meta-analytic approach and its information-theoretic version, where information from several units is combined to carry out the validation exercise. The methods will be illustrated using a case study in ophthalmology.
URI: http://hdl.handle.net/1942/16643
DOI: 10.1007/978-3-642-55345-5_13
ISBN: 9783642553448
Category: B2
Type: Book Section
Validation: vabb, 2016
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
N/A463.39 kBAdobe PDF

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.