A Simulation Based Study for Comparing Tests Associated With Receiver Operating Characteristic (ROC) Curves

Receiver Operating Characteristic curves and the Area Under Curve (AUC) are widely used to evaluate the predictive accuracy of diagnostic tests. The parametric methods of estimating AUCs are well established while nonparametric methods, such as Wilcoxon's method, lack proper research. This study considered three standard error techniques, namely, Hanley and McNeil, Hanley and Tilaki, and DeLong methods. Several parameters were considered, while measuring the predictor on a binary scale. The normality and type I error rate was violated for Hanley and McNeil's method while asymptotically DeLong's method performed better. Hanley and Tilaki's Jackknife method and DeLong's method performed equally well.