A comparative study of methods for testing the equality of two or more ROC curves

Arís Fanjul-Hevia () and Wenceslao González-Manteiga
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Arís Fanjul-Hevia: Universidade de Santiago de Compostela
Wenceslao González-Manteiga: Universidade de Santiago de Compostela

Computational Statistics, 2018, vol. 33, issue 1, No 15, 357-377

Abstract: Abstract The problem of comparing the accuracy of diagnostic tests is usually carried out through the comparison of the corresponding receiver operating characteristic (ROC) curves. This matter has been approached from different perspectives. Usually, ROC curves are compared through their respective areas under the curve, but in cases where there is no uniform dominance between the involved curves other procedures are preferred. Although the asymptotic distributions of the statistics behind these methods are, in general, known, resampling plans are considered. With the purpose of comparing the performance of different approaches, with different ways of calibrating the distribution of the tests, a simulation study is carried out in order to investigate the statistical power and the nominal level of each methodology.

Keywords: ROC curves; AUC; Comparison methods; Resampling plans (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s00180-017-0783-6

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