The University of Southampton
University of Southampton Institutional Repository

Revisiting Youden’s index as a useful measure of the misclassification error in meta-analysis of diagnostic studies

Revisiting Youden’s index as a useful measure of the misclassification error in meta-analysis of diagnostic studies
Revisiting Youden’s index as a useful measure of the misclassification error in meta-analysis of diagnostic studies
The paper considers meta-analysis of diagnostic studies that use a continuous score for classification of study participants into healthy or diseased groups. Classification is often done on the basis of a threshold or cut-off value, which might vary between studies. Consequently, conventional meta-analysis methodology focusing solely on separate analysis of sensitivity and specificity might be confounded by a potentially unknown variation of the cut-off value. To cope with this phenomena it is suggested to use, instead, an overall estimate of the misclassification error previously suggested and used as Youden's index and; furthermore, it is argued that this index is less prone to between-study variation of cut-off values. A simple Mantel—Haenszel estimator as a summary measure of the overall misclassification error is suggested, which adjusts for a potential study effect. The measure of the misclassification error based on Youden's index is advantageous in that it easily allows an extension to a likelihood approach, which is then able to cope with unobserved heterogeneity via a nonparametric mixture model. All methods are illustrated at hand of an example on a diagnostic meta-analysis on duplex doppler ultrasound, with angiography as the standard for stroke prevention
0962-2802
543-554
Böhning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Böhning, Walailuck
e41681ae-1c18-42f9-96d2-e725d47dbeec
Holling, Heinz
88d46f56-77ca-4d0e-b035-a51aff735435
Böhning, Dankmar
1df635d4-e3dc-44d0-b61d-5fd11f6434e1
Böhning, Walailuck
e41681ae-1c18-42f9-96d2-e725d47dbeec
Holling, Heinz
88d46f56-77ca-4d0e-b035-a51aff735435

Böhning, Dankmar, Böhning, Walailuck and Holling, Heinz (2008) Revisiting Youden’s index as a useful measure of the misclassification error in meta-analysis of diagnostic studies. Statistical Methods in Medical Research, 17 (6), 543-554. (doi:10.1177/0962280207081867). (PMID:18375457)

Record type: Article

Abstract

The paper considers meta-analysis of diagnostic studies that use a continuous score for classification of study participants into healthy or diseased groups. Classification is often done on the basis of a threshold or cut-off value, which might vary between studies. Consequently, conventional meta-analysis methodology focusing solely on separate analysis of sensitivity and specificity might be confounded by a potentially unknown variation of the cut-off value. To cope with this phenomena it is suggested to use, instead, an overall estimate of the misclassification error previously suggested and used as Youden's index and; furthermore, it is argued that this index is less prone to between-study variation of cut-off values. A simple Mantel—Haenszel estimator as a summary measure of the overall misclassification error is suggested, which adjusts for a potential study effect. The measure of the misclassification error based on Youden's index is advantageous in that it easily allows an extension to a likelihood approach, which is then able to cope with unobserved heterogeneity via a nonparametric mixture model. All methods are illustrated at hand of an example on a diagnostic meta-analysis on duplex doppler ultrasound, with angiography as the standard for stroke prevention

Full text not available from this repository.

More information

e-pub ahead of print date: 28 March 2008
Published date: December 2008
Organisations: Statistics, Statistical Sciences Research Institute

Identifiers

Local EPrints ID: 210479
URI: https://eprints.soton.ac.uk/id/eprint/210479
ISSN: 0962-2802
PURE UUID: 57933317-c4ea-4683-acea-1e962b2c3045
ORCID for Dankmar Böhning: ORCID iD orcid.org/0000-0003-0638-7106

Catalogue record

Date deposited: 09 Feb 2012 12:00
Last modified: 12 Nov 2019 01:40

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×