Literature DB >> 16252272

Statistical evaluation of biomarkers as surrogate endpoints: a literature review.

Christopher J Weir1, Rosalind J Walley.   

Abstract

A valid surrogate endpoint allows correct inference to be drawn regarding the effect of an intervention on the unobserved true clinical endpoint of interest. The perceived practical and ethical advantages of substituting a surrogate endpoint for a clinical endpoint have led to a considerable number of statistical methods being proposed for the evaluation of a biomarker as a surrogate endpoint. We review the main statistical schools of thought which have developed and consider how the validation process might be arranged within the regulatory and practical constraints of the drug development process. We conclude by assessing which of the candidate statistical methods offer the best approach for surrogate endpoint evaluation. Copyright (c) 2005 John Wiley & Sons, Ltd.

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Year:  2006        PMID: 16252272     DOI: 10.1002/sim.2319

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  55 in total

1.  Considerations for Endpoint Selection When Designing HIV Clinical Trials.

Authors:  Katherine Huppler Hullsiek; Birgit Grund
Journal:  Curr Infect Dis Rep       Date:  2012-02       Impact factor: 3.725

2.  Comparing biomarkers as principal surrogate endpoints.

Authors:  Ying Huang; Peter B Gilbert
Journal:  Biometrics       Date:  2011-04-22       Impact factor: 2.571

3.  A unified procedure for meta-analytic evaluation of surrogate end points in randomized clinical trials.

Authors:  James Y Dai; James P Hughes
Journal:  Biostatistics       Date:  2012-03-06       Impact factor: 5.899

Review 4.  Biomarkers and surrogate end points--the challenge of statistical validation.

Authors:  Marc Buyse; Daniel J Sargent; Axel Grothey; Alastair Matheson; Aimery de Gramont
Journal:  Nat Rev Clin Oncol       Date:  2010-04-06       Impact factor: 66.675

5.  Predicting treatment effect from surrogate endpoints and historical trials: an extrapolation involving probabilities of a binary outcome or survival to a specific time.

Authors:  Stuart G Baker; Daniel J Sargent; Marc Buyse; Tomasz Burzykowski
Journal:  Biometrics       Date:  2011-08-13       Impact factor: 2.571

6.  ASSESSING SURROGATE ENDPOINTS IN VACCINE TRIALS WITH CASE-COHORT SAMPLING AND THE COX MODEL.

Authors:  Li Qin; Peter B Gilbert; Dean Follmann; Dongfeng Li
Journal:  Ann Appl Stat       Date:  2008-03       Impact factor: 2.083

Review 7.  Biomarkers in oncology drug development.

Authors:  Darren R Hodgson; Robin D Whittaker; Athula Herath; Dereck Amakye; Glen Clack
Journal:  Mol Oncol       Date:  2008-12-11       Impact factor: 6.603

8.  Surrogacy assessment using principal stratification when surrogate and outcome measures are multivariate normal.

Authors:  Anna S C Conlon; Jeremy M G Taylor; Michael R Elliott
Journal:  Biostatistics       Date:  2013-11-26       Impact factor: 5.899

9.  Evaluating candidate principal surrogate endpoints.

Authors:  Peter B Gilbert; Michael G Hudgens
Journal:  Biometrics       Date:  2008-03-24       Impact factor: 2.571

Review 10.  The perils of surrogate endpoints.

Authors:  William S Weintraub; Thomas F Lüscher; Stuart Pocock
Journal:  Eur Heart J       Date:  2015-05-13       Impact factor: 29.983

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