Statistical Validation of Surrogate Markers in Clinical Trials

A. Alonso, G. Molenberghs, G.J.P. van Breukelen

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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.
Original languageEnglish
Title of host publicationDevelopments in Statistical Evaluation of Clinical Trials
EditorsK. van Montfort, J. Oud, G. Wendimagegn
PublisherSpringer
Pages227-246
Number of pages20
ISBN (Print)978-3-642-55345-5
DOIs
Publication statusPublished - 1 Jan 2014

Cite this

Alonso, A., Molenberghs, G., & van Breukelen, G. J. P. (2014). Statistical Validation of Surrogate Markers in Clinical Trials. In K. V. Montfort, J. Oud, & G. Wendimagegn (Eds.), Developments in Statistical Evaluation of Clinical Trials (pp. 227-246). Springer. https://doi.org/10.1007/978-3-642-55345-5_13