A double SIMEX approach for bivariate random-effects meta-analysis of diagnostic accuracy studies

A double SIMEX approach for bivariate random-effects meta-analysis of diagnostic accuracy studies

Abstract Background Bivariate random-effects models represent a widely accepted and recommended approach for meta-analysis of test accuracy studies. Standard likelihood methods routinely used for inference are prone to several drawbacks. Small sample size can give rise to unreliable inferential conc...

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Bibliographic Details
Main Author: Annamaria Guolo
Format: Article
Language:English
Published: BMC 2017-01-01
Series:BMC Medical Research Methodology
Subjects:
Bivariate meta-analysis
Diagnostic test
Likelihood inference
Measurement error
SIMEX
Online Access:http://link.springer.com/article/10.1186/s12874-016-0284-2

Internet

http://link.springer.com/article/10.1186/s12874-016-0284-2

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