Bivariate Random Effects Meta-Analysis of ROC Curves
Top Cited Papers
- 30 June 2008
- journal article
- review article
- Published by SAGE Publications in Medical Decision Making
- Vol. 28 (5), 621-638
- https://doi.org/10.1177/0272989x08319957
Abstract
Meta-analysis of receiver operating characteristic (ROC)-curve data is often done with fixed-effects models, which suffer many shortcomings. Some random-effects models have been proposed to execute a meta-analysis of ROC-curve data, but these models are not often used in practice. Straightforward modeling techniques for multivariate random-effects meta-analysis of ROC-curve data are needed. The 1st aim of this article is to present a practical method that addresses the drawbacks of the fixedeffects summary ROC (SROC) method of Littenberg and Moses. Sensitivities and specificities are analyzed simultaneously using a bivariate random-effects model. The 2nd aim is to show that other SROC curves can also be derived from the bivariate model through different characterizations of the estimated bivariate normal distribution. Thereby the authors show that the bivariate random-effects approach not only extends the SROC approach but also provides a unifying framework for other approaches. The authors bring the statistical meta-analysis of ROC-curve data back into a framework of relatively standard multivariate meta-analysis with random effects. The analyses were carried out using the software package SAS (Proc NLMIXED).Keywords
This publication has 33 references indexed in Scilit:
- Meta‐analysis of Diagnostic Test Accuracy Assessment Studies with Varying Number of ThresholdsBiometrics, 2003
- Properties of the summary receiver operating characteristic (SROC) curve for diagnostic test dataStatistics in Medicine, 2002
- A hierarchical regression approach to meta‐analysis of diagnostic test accuracy evaluationsStatistics in Medicine, 2001
- Meta-analysis of ROC CurvesMedical Decision Making, 2000
- Meta-Analysis of Diagnostic Tests With Imperfect Reference StandardsJournal of Clinical Epidemiology, 1999
- Bayesian Approaches to Meta-analysi of ROC CurvesMedical Decision Making, 1999
- Meta-analytic methods for diagnostic test accuracyJournal of Clinical Epidemiology, 1995
- Meta-analysis of screening and diagnostic tests.Psychological Bulletin, 1995
- Estimating Diagnostic Accuracy from Multiple Conflicting ReportsMedical Decision Making, 1993
- Combining independent studies of a diagnostic test into a summary roc curve: Data‐analytic approaches and some additional considerationsStatistics in Medicine, 1993