, cases and controls, and is com- monly summarized by using the receiver operating characteristic (ROC) curve. In studies of … classification accuracy, there are often covariates that should be incorporated into the ROC analysis. We describe three ways of … adjustment. For factors that affect discrimination (i.e., the ROC curve), we describe methods for modeling the ROC curve as a …

The command roctg allows visualizing sensitivity (Se) and specificity (Sp) curves according to the range of values of a …

The area under the receiver operating characteristic (ROC) curve is often used to summarize and compare the … outcomes. Parametric maximum likelihood methods for Þtting of the ROC curve provide direct estimates of the area under the ROC … curve and its variance. Nonparametric methods, on the other hand, provide estimates of the area under the ROC curve, but do …

precision estimates of sensitivity and specificity obtained in validity studies with incomplete designs. Copyright 2002 by Stata …