Marker selection via maximizing the partial area under the ROC curve of linear risk scores.

Abstract

Rather than viewing receiver operating characteristic (ROC) curves directly to compare the performances of diagnostic methods, the whole and the partial areas under the ROC curve (area under the ROC curve [AUC] and partial area under the ROC curve [pAUC]) are 2 of the most popularly used summaries of the curve. Moreover, when high specificity is a… (More)
DOI: 10.1093/biostatistics/kxq052

Topics

9 Figures and Tables