Meta-analysis for Surrogacy: Accelerated Failure Time Models and Semicompeting Risks Modeling

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Meta-analysis for surrogacy: accelerated failure time models and semicompeting risks modeling.

There has been great recent interest in the medical and statistical literature in the assessment and validation of surrogate endpoints as proxies for clinical endpoints in medical studies. More recently, authors have focused on using metaanalytical methods for quantification of surrogacy. In this article, we extend existing procedures for analysis based on the accelerated failure time model to ...

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Debashis Ghosh,1,∗ Jeremy M. G. Taylor,2,∗∗ and Daniel J. Sargent3,∗∗∗ 1Departments of Statistics and Public Health Sciences, Penn State University, University Park, Pennsylvania 16802, U.S.A. 2Department of Biostatistics, University of Michigan, Ann Arbor, Michigan 48109, U.S.A. 3Department of Health Sciences Research, Mayo Clinic, Rochester, Minnesota 55905, U.S.A. ∗email: [email protected] ∗∗em...

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ژورنال

عنوان ژورنال: Biometrics

سال: 2011

ISSN: 0006-341X

DOI: 10.1111/j.1541-0420.2011.01633.x