A simulation based study for comparing tests associated with Receiver Operating Characteristic (ROC) curve
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Authors
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Taylor and Francis
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.
Description
Keywords
Area under curve (AUC); DeLong’smethod; Hanley andMcNeil’smethod; Hanley and Tilaki’s method; Receiver operating characteristic (ROC) curve; Simulation study.
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
