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
Text
Leeflang JClinEpidemiol 2012.pdf - Published Version Restricted to registered users only Available under License Publisher holds Copyright. Download (639kB) |
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 (ISPM) |
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: |
05 Dec 2022 14:11 |
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) |