A simulation based study for  comparing tests associated with Receiver Operating Characteristic (ROC) curve

Jayasekera, D.; Sooriyarachchi, M.R.

dc.contributor.author	Jayasekera, D.
dc.contributor.author	Sooriyarachchi, M.R.
dc.date.accessioned	2021-07-07T03:22:27Z
dc.date.available	2021-07-07T03:22:27Z
dc.date.issued	2014
dc.identifier.citation	Jayasekera, 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, 2014	en_US
dc.identifier.issn	0361-0918 print / 1532-4141 online
dc.identifier.uri	http://archive.cmb.ac.lk:8080/xmlui/handle/70130/5443
dc.description.abstract	Receiver 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.sponsorship	No sponsors	en_US
dc.language.iso	en	en_US
dc.publisher	Taylor and Francis	en_US
dc.subject	Area under curve (AUC); DeLong’smethod; Hanley andMcNeil’smethod; Hanley and Tilaki’s method; Receiver operating characteristic (ROC) curve; Simulation study.	en_US
dc.title	A simulation based study for comparing tests associated with Receiver Operating Characteristic (ROC) curve	en_US
dc.type	Article	en_US