Please use this identifier to cite or link to this item: http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5443
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dc.contributor.authorJayasekera, D.-
dc.contributor.authorSooriyarachchi, M.R.-
dc.date.accessioned2021-07-07T03:22:27Z-
dc.date.available2021-07-07T03:22:27Z-
dc.date.issued2014-
dc.identifier.citationJayasekera, D., Sooriyarachchi, M.R. A simulation based study for comparing tests associated with Receiver Operating Characteristic (ROC) curve. Communications in Statistics—Simulation and Computation R , 00: 1–24, 2014en_US
dc.identifier.issn0361-0918 print / 1532-4141 online-
dc.identifier.urihttp://archive.cmb.ac.lk:8080/xmlui/handle/70130/5443-
dc.description.abstractReceiver Operating Characteristic curves and the Area Under Curve (AUC) are widely 7 used to evaluate the predictive accuracy of diagnostic tests. The parametric methods of 8 estimating AUCs are well established while nonparametric methods, such asWilcoxon’s 9 method, lack proper research. This study considered three standard error techniques, 10 namely, Hanley and McNeil, Hanley and Tilaki, and DeLong methods. Several param11 eters were considered, while measuring the predictor on a binary scale. The normality 12 and type I error rate was violated for Hanley andMcNeil’s method while asymptotically 13 DeLong’smethod performed better.Hanley and Tilaki’s Jackknifemethod andDeLong’s 14 method performed equally well.en_US
dc.description.sponsorshipNo sponsorsen_US
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.subjectArea under curve (AUC); DeLong’smethod; Hanley andMcNeil’smethod; Hanley and Tilaki’s method; Receiver operating characteristic (ROC) curve; Simulation study.en_US
dc.titleA simulation based study for comparing tests associated with Receiver Operating Characteristic (ROC) curveen_US
dc.typeArticleen_US
Appears in Collections:Department of Statistics

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