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A note on ROC analysis and non-parametric estimate of sensitivity
Authors:Jun?Zhang  author-information"  >  author-information__contact u-icon-before"  >  mailto:junz@umich.edu"   title="  junz@umich.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,Shane?T.?Mueller
Affiliation:(1) University of Michigan, Ann Arbor;(2) University of Michigan, Ann Arbor;(3) Department of Psychology, University of Michigan, 525 East University, Ann Arbor, MI 48109, USA
Abstract:In the signal detection paradigm, the non-parametric index of sensitivity A′, as first introduced by Pollack and Norman (1964), is a popular alternative to the more traditional d′ measure of sensitivity. Smith (1995) clarified a confusion about the interpretation of A′ in relation to the area beneath proper receiver operating characteristic (ROC) curves, and provided a formula (which he called A′′) for this commonly held interpretation. However, he made an error in his calculations. Here, we rectify this error by providing the correct formula (which we call A) and compare the discrepancy that would have resulted. The corresponding measure for bias b is also provided. Since all such calculations apply to “proper” ROC curves with non-decreasing slopes, we also prove, as a separate result, the slope-monotonicity of ROC curves generated by likelihood-ratio criterion.This revised article was published online in August 2005 with the PDF paginated correctly.
Keywords:signal detection theory  A    non-parametric estimate of sensitivity  likelihood-ratio
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