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

Harbord, Roger M; Deeks, Jonathan J; Egger, Matthias; Whiting, Penny; Sterne, Jonathan A C (2007). A unification of models for meta-analysis of diagnostic accuracy studies. Biostatistics, 8(2), pp. 239-51. Oxford: Oxford University Press 10.1093/biostatistics/kxl004

Full text not available from this repository. (Request a copy)

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 (ROC) model (Rutter and Gatsonis, 2001) and bivariate random-effects meta-analysis (van Houwelingen and others, 1993), (van Houwelingen and others, 2002), (Reitsma and others, 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 curves, summary points, confidence regions, and prediction regions.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine

UniBE Contributor:

Egger, Matthias

ISSN:

1465-4644

ISBN:

16698768

Publisher:

Oxford University Press

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:52

Last Modified:

04 May 2014 23:15

Publisher DOI:

10.1093/biostatistics/kxl004

PubMed ID:

16698768

Web of Science ID:

000245512000006

URI:

https://boris.unibe.ch/id/eprint/22111 (FactScience: 30442)

Actions (login required)

Edit item Edit item
Provide Feedback