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Stat Med. 2002 Oct 30;21(20):3093-106.

Estimation of the area under the ROC curve.

Author information

1
Department of Statistics, University of Haifa, Israel.

Abstract

The area under the receiver operating characteristic curve is frequently used as a measure for the effectiveness of diagnostic markers. In this paper we discuss and compare estimation procedures for this area. These are based on (i) the Mann-Whitney statistic; (ii) kernel smoothing; (iii) normal assumptions; (iv) empirical transformations to normality. These are compared in terms of bias and root mean square error in a large variety of situations by means of an extensive simulation study. Overall we find that transforming to normality usually is to be preferred except for bimodal cases where kernel methods can be effective.

PMID:
12369084
DOI:
10.1002/sim.1228
[Indexed for MEDLINE]

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