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Citation
Tags
HERO ID
1015791
Reference Type
Journal Article
Title
Classification accuracy and cut point selection
Author(s)
Liu, X
Year
2012
Is Peer Reviewed?
1
Journal
Statistics in Medicine
ISSN:
0277-6715
EISSN:
1097-0258
Volume
31
Issue
23
Page Numbers
2676–2686
Language
English
PMID
22307964
DOI
10.1002/sim.4509
Web of Science Id
WOS:000308874500007
Abstract
In biomedical research and practice, quantitative tests or biomarkers are often used for diagnostic or screening purposes, with a cut point established on the quantitative measurement to aid binary classification. This paper introduces an alternative to the traditional methods based on the Youden index and the closest-to-(0, 1) criterion for threshold selection. A concordance probability evaluating the classification accuracy of a dichotomized measure is defined as an objective function of the possible cut point. A nonparametric approach is used to search for the optimal cut point maximizing the objective function. The procedure is shown to perform well in a simulation study. Using data from a real-world study of arsenic-induced skin lesions, we apply the method to a measure of blood arsenic levels, selecting a cut point to be used as a warning threshold. Copyright © 2012 John Wiley & Sons, Ltd.
Keywords
classification accuracy; concordance probability; cut point; sensitivitiy; specificity
Tags
IRIS
•
Arsenic Hazard ID
1. Initial Lit Search
PubMed
WOS
WOS
Considered New
2. Lit Search Updates through Oct 2015
WOS
Considered
4. Considered through Oct 2015
7. Other Studies through Oct 2015
Other
•
Arsenic (Inorganic)
1. Literature
PubMed
Web of Science
Lit search updates through Oct 2015
3. Hazard ID Screening
Other potentially supporting studies
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