A unified Bayesian framework for exact inference of area under the receiver operating characteristic curve.

ABSTRACT: The area under the receiver operating characteristic curve is a widely used measure for evaluating the performance of a diagnostic test. Common approaches for inference on area under the receiver operating characteristic curve are usually based upon approximation. For example, the normal approximation based inference tends to suffer from the problem of low accuracy for small sample size. Frequentist empirical likelihood based approaches for area under the receiver operating characteristic curve estimation may perform better, but are usually conducted through approximation in order to reduce the computational burden, thus the inference is not exact. By contrast, we proposed an exact inferential procedure by adapting the empirical likelihood into a Bayesian framework and draw inference from

SUBMITTER: Lin R 

PROVIDER: S-EPMC9241147 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature