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Statistical Analysis of Extreme Values: with Applications to Insurance, Finance, Hydrology and Other Fields
Statistical Analysis of Extreme Values: with Applications to Insurance, Finance, Hydrology and Other Fields, 3rd Ed.

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Hanley, James A. and Barbara J. McNeil, "The Meaning and Use of the Area under a Receiver Operating Characteristics (ROC) Curve", Radiology, Vol. 143, No. 1, (April 1982), pp. 29-36.

Abstract: A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non- diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.

Keywords: Receiver operating characteristic curve (ROC).

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