Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/674
Title: Prentice's approach and the meta-analytic paradigm: a reflection on the role of statistics in the evaluation of surrogate endpoints
Authors: ALONSO ABAD, Ariel 
MOLENBERGHS, Geert 
BURZYKOWSKI, Tomasz 
RENARD, Didier 
GEYS, Helena 
SHKEDY, Ziv 
TIBALDI, Fabian 
CORTINAS ABRAHANTES, Jose 
BUYSE, Marc 
Issue Date: 2004
Source: Biometrics, 60(3). p. 724-728
Abstract: We put a perspective on the strengths and limitations of statistical methods for the evaluation of surrogate endpoints. Whereas using several trials overcomes some of the limitations of a single-trial framework (Prentice, 1989, Statistics in Medicine8, 431–440), arguably the evaluation of surrogate endpoints can never be done using only statistical evidence but such evidence should be seen as but one component in a decision-making process that involves, among others, a number of clinical and biological considerations. We briefly present a hierarchical framework that incorporates ideas from Prentice's work and is uniformly applicable to different types of surrogate and true clinical outcomes
Keywords: hierarchical model; likelihood reduction factor; prentice criteria; surrogate endpoints
Document URI: http://hdl.handle.net/1942/674
DOI: 10.1111/j.0006-341X.2004.00222.x
ISI #: 000223818200022
Category: A1
Type: Journal Contribution
Validations: ecoom 2005
Appears in Collections:Research publications

Files in This Item:
File Description SizeFormat 
burt14.pdfPublished version117.1 kBAdobe PDFView/Open
Show full item record

Google ScholarTM

Check

Altmetric


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