A unification of models for meta-analysis of diagnostic accuracy studies

RM Harbord, JJ Deeks, M Egger, PF Whiting, JAC Sterne

Research output: Contribution to journalArticle (Academic Journal)peer-review

439 Citations (Scopus)

Abstract

Studies of diagnostic accuracy require more sophisticated methods for their meta-analysis than studies of therapeutic interventions. A number of different, and apparently divergent, methods for meta-analysis of diagnostic studies have been proposed, including two alternative approaches that are statistically rigorous and allow for between-study variability: the hierarchical summary receiver operating characteristic (HSROC) model (Rutter and Gatsonis, 2001) and bivariate random-effects meta-analysis (van Houwelingen et al., 1993, 2002; Reitsma et al., 2005) We show that these two models are very closely related, and define the circumstances in which they are identical. We discuss the different forms of summary model output suggested by the two approaches, including summary ROC (SROC) curves, summary points, confidence regions and prediction regions.
Translated title of the contributionA unification of models for meta-analysis of diagnostic accuracy studies
Original languageEnglish
Pages (from-to)239 - 251
Number of pages13
JournalBiostatistics
Volume8 (2)
DOIs
Publication statusPublished - Apr 2007

Bibliographical note

Publisher: Oxford University Press

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