Michael Sachs
ROC curves are typically used to assess the accuracy of a screening test
that is measured on a continuous scale. In some cases, the gold standard
diagnosis is too expensive or unpleasant to be performed on all the subjects in a study. For example, the gold standard diagnosis for Alzheimer~Rs disease requires an autopsy, which cannot be performed on all subjects in a particular study. When the probability of getting a gold standard diagnosis depends on the screening test or other covariates, then estimates of the accuracy of the test are subject to verification bias. In my talk I will review some ROC curve methodology and explore how it extends to the case of verification bias.
