Prentice's Approach and the Meta-Analytic Paradigm: A Reflection on the Role of Statistics in the Evaluation of Surrogate Endpoints
| Autor: | José Cortiñas Abrahantes, Ziv Shkedy, Fabian Tibaldi, Helena Geys, Didier Renard, Tomasz Burzykowski, Geert Molenberghs, Ariel Alonso, Marc Buyse |
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| Rok vydání: | 2004 |
| Předmět: |
Statistics and Probability
Biometry Reflection (computer programming) Endpoint Determination Computer science Process (engineering) Visual Acuity MEDLINE hierarchical model likelihood reduction factor prentice criteria surrogate endpoints Surrogate Markers General Biochemistry Genetics and Molecular Biology Hierarchical database model Macular Degeneration Clinical trials Meta-Analysis as Topic Component (UML) Statistics Humans Clinical Trials as Topic Likelihood Functions Models Statistical General Immunology and Microbiology Longitudinal data Surrogate endpoint Applied Mathematics General Medicine Medical statistics Recombinant Proteins Interferon Type I General Agricultural and Biological Sciences |
| Zdroj: | Biometrics. 60:724-728 |
| ISSN: | 0006-341X |
| DOI: | 10.1111/j.0006-341x.2004.00222.x |
| Popis: | 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 Medicine 8, 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. |
| Databáze: | OpenAIRE |
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