Bivariate meta-analysis of predictive values of diagnostic tests can be an alternative to bivariate meta-analysis of sensitivity and specificity

Leeflang, Mariska M G; Deeks, Jonathan J; Rutjes, Anne W S; Reitsma, Johannes B; Bossuyt, Patrick M M (2012). Bivariate meta-analysis of predictive values of diagnostic tests can be an alternative to bivariate meta-analysis of sensitivity and specificity. Journal of clinical epidemiology, 65(10), pp. 1088-97. New York, N.Y.: Elsevier 10.1016/j.jclinepi.2012.03.006

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Meta-analysis of predictive values is usually discouraged because these values are directly affected by disease prevalence, but sensitivity and specificity sometimes show substantial heterogeneity as well. We propose a bivariate random-effects logitnormal model for the meta-analysis of the positive predictive value (PPV) and negative predictive value (NPV) of diagnostic tests.

Item Type:

Journal Article (Original Article)

Division/Institute:

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

UniBE Contributor:

Rutjes, Anne

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0895-4356

Publisher:

Elsevier

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:36

Last Modified:

15 Sep 2017 07:14

Publisher DOI:

10.1016/j.jclinepi.2012.03.006

PubMed ID:

22742916

Web of Science ID:

000308118000008

BORIS DOI:

10.7892/boris.14393

URI:

https://boris.unibe.ch/id/eprint/14393 (FactScience: 221360)

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