Receiver operating characteristic (ROC) curves and in particular the area under the curve
(AUC), are widely used to examine the effectiveness of diagnostic markers. Diagnostic …

We consider combining multiple biomarkers to improve diagnostic accuracy. Su and Liu
derived the linear combinations that maximize the area under the receiver operating …

The receiver operating characteristic (ROC) curve and in particular the area under the curve
(AUC) is commonly used to examine the discriminatory ability of diagnostic markers. Certain …

Continuous markers are often used to discriminate between diseased and healthy
populations. In this context, the receiver operating characteristic (ROC) curve is a popular …

The receiver operating characteristic (ROC) curve is the most popular statistical tool for
evaluating the discriminatory capability of a given continuous biomarker. The need to …

The area under the receiver operating characteristic curve is frequently used to assess the
effectiveness of diagnostic markers in distinguishing between diseased and healthy …

This paper describes a simple method for constructing receiver operating characteristic
(ROC) curves based on boundary conditions that restrict its theoretical shape. The resultant …

The receiver operating characteristic (ROC) curve is a simple and meaningful measure to
assess the usefulness of diagnostic markers. To use the information carried by multiple …

Identification of key factors associated with the risk of developing cardiovascular disease
and quantification of this risk using multivariable prediction algorithms are among the major …

Receiver operating characteristic (ROC) curves are frequently used to assess the usefulness
of diagnostic markers. When several diagnostic markers are available, they can be …