Bivariate random-effects models are currently widely used to synthesize pairs of test
sensitivity and specificity across studies. Inferences drawn based on these models may be …

Recent advances in receiver operating characteristic (ROC) curve analyses advocate
modeling of placement value (PV), a quantity that measures the position of diseased test …

In this talk, I will offer a quick overview on the history of the ROC (Receiver Operating
Characteristic) curve, along with a biased personal account of some selected developments …

Semi-supervised learning is a classification method which makes use of both labeled data
and unlabeled data for training. Since labeling data can be expensive and time consuming …

The receiver operating characteristic (ROC) surface, as a generalization of the ROC curve,
has been widely used to assess the accuracy of a diagnostic test for three categories. A …