Document Server@UHasselt >
Research >
Research publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/384

Title: Validation of surrogate endpoints in multiple randomized clinical trials with failure-time endpoints
Authors: Burzykowski, Tomasz
Molenberghs, Geert
Buyse, Marc E.
Geys, Helena
Renard, Didier
Keywords: Clinical trials
Clustered data
Surrogate Markers
Issue Date: 2001
Citation: Applied Statistics, 50(4). p. 405-422
Abstract: Before a surrogate end point can replace a final (true) end point in the evaluation of an experimental treatment, it must be formally 'validated'. The validation will typically require large numbers of observations. It is therefore useful to consider situations in which data are available from several randomized experiments. For two normally distributed end points Buyse and co-workers suggested a new definition of validity in terms of the quality of both trial level and individual level associations between the surrogate and true end points. This paper extends this approach to the important case of two failure time end points, using bivariate survival modelling. The method is illustrated by using two actual sets of data from cancer clinical trials.
Notes: Limburgs Univ Ctr, Ctr Stat, B-3590 Diepenbeek, Belgium. Int Inst Drug Dev, Brussels, Belgium.
URI: http://hdl.handle.net/1942/384
Link to publication: https://www.academia.edu/15277189/Validation_of_Surrogate_Endpoints_in_Multiple_Randomized_Clinical_Trials_with_Discrete_Outcomes
DOI: 10.1111/1467-9876.00244
ISI #: 000171983000001
ISSN: 0035-9254
Category: A2
Type: Journal Contribution
Appears in Collections: Research publications

Files in This Item:

Description SizeFormat
Published version271.03 kBAdobe PDF

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