the advantages and robustness of using a nonparametric approach for estimating AUCs in the case of paired datasets, accounting for the inherent correlation of this type of data. One limitation of this method that may be considered, as stated by DeLong et al. [14], is that the trapezoidal rule underestimates the true AUC when the variables take a small number of discrete values. Among the main features of our software are: 1) it is based on a non-parametric approach for the analysis of AUCs [14], 2) it uses a simple input format, 3) it can plot multiple ROC curves simultaneously, 4) the output data is compact, simple and can be exported for further analysis with other statistical tools; and 5) it generates a human-readable report in PDF format, which is useful for a fast initial inspection of the results.
