Prentice's Approach and the Meta‐Analytic Paradigm: A Reflection on the Role of Statistics in the Evaluation of Surrogate Endpoints
- 27 August 2004
- journal article
- research article
- Published by Oxford University Press (OUP) in Biometrics
- Vol. 60 (3) , 724-728
Abstract
Summary 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
This publication has 13 references indexed in Scilit:
- Validation of a longitudinally measured surrogate marker for a time-to-event endpointJournal of Applied Statistics, 2003
- On meta-analytic assessment of surrogate outcomesBiostatistics, 2000
- The validation of surrogate endpoints in meta-analyses of randomized experimentsBiostatistics, 2000
- ESTIMATING THE PROPORTION OF TREATMENT EFFECT EXPLAINED BY A SURROGATE MARKERStatistics in Medicine, 1997
- Interferon Alfa-2a Is Ineffective for Patients With Choroidal Neovascularization Secondary to Age-Related Macular DegenerationArchives of Ophthalmology (1950), 1997
- Surrogate Markers in AIDS: Where Are We? Where Are We Going?Annals of Internal Medicine, 1992
- Statistical validation of intermediate endpoints for chronic diseasesStatistics in Medicine, 1992
- Preliminary Report: Effect of Encainide and Flecainide on Mortality in a Randomized Trial of Arrhythmia Suppression after Myocardial InfarctionNew England Journal of Medicine, 1989
- Surrogate endpoints in clinical trials: Definition and operational criteriaStatistics in Medicine, 1989
- Information gain and a general measure of correlationBiometrika, 1983