Testing the equality of diagnostic effectiveness of one measure with respect to k different features

Pablo Martinez-Camblor and Aina Yanez

Journal of Applied Statistics, 2009, vol. 36, issue 4, 359-367

Abstract: In several cases the same measurement is used as a marker for two or more population features, and it is useful to test whether this measurement has the same diagnostic effectiveness with respect to different features. In this paper we use the area under receiver operating characteristic curve as index for the discriminatory power among continuous variables and population features (eventuality, two or more diseases), and we propose a test to contrast the equality of the diagnostic effectiveness of this measurement.

Keywords: ROC curve; sensitivity; specificity; area under ROC curve (AUC) (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/02664760802464471 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:japsta:v:36:y:2009:i:4:p:359-367

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJAS20

DOI: 10.1080/02664760802464471

Access Statistics for this article

Journal of Applied Statistics is currently edited by Robert Aykroyd

More articles in Journal of Applied Statistics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().