A note on ROC analysis and non-parametric estimate of sensitivity
dc.contributor.author | Mueller, Shane T. | en_US |
dc.contributor.author | Zhang, Jun | en_US |
dc.date.accessioned | 2006-09-11T16:26:17Z | |
dc.date.available | 2006-09-11T16:26:17Z | |
dc.date.issued | 2005-03 | en_US |
dc.identifier.citation | Zhang, Jun; Mueller, Shane T.; (2005). "A note on ROC analysis and non-parametric estimate of sensitivity." Psychometrika 70(1): 203-212. <http://hdl.handle.net/2027.42/45761> | en_US |
dc.identifier.issn | 1860-0980 | en_US |
dc.identifier.issn | 0033-3123 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45761 | |
dc.description.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. | en_US |
dc.format.extent | 347422 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Springer-Verlag; The Psychometric Society | en_US |
dc.subject.other | Signal Detection Theory | en_US |
dc.subject.other | Statistical Theory and Methods | en_US |
dc.subject.other | Psychology | en_US |
dc.subject.other | Assessment, Testing and Evaluation | en_US |
dc.subject.other | Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law | en_US |
dc.subject.other | Psychology, General | en_US |
dc.subject.other | A ′ | en_US |
dc.subject.other | Non-parametric Estimate of Sensitivity | en_US |
dc.subject.other | Likelihood-ratio | en_US |
dc.title | A note on ROC analysis and non-parametric estimate of sensitivity | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | University of Michigan, Ann Arbor; Department of Psychology, University of Michigan, 525 East University, Ann Arbor, MI, 48109, USA | en_US |
dc.contributor.affiliationum | University of Michigan, Ann Arbor | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45761/1/11336_2003_Article_1119.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/s11336-003-1119-8 | en_US |
dc.identifier.source | Psychometrika | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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