Accurate likelihood inference for the volume under the ROC surface.
Erlis RuliLaura VenturaPublished in: Cancer reports (Hoboken, N.J.) (2019)
Modern likelihood inference based on higher-order asymptotic methods for the area under the ROC surface provide refinements to classical inferential results. A possible limitation of higher-order asymptotic methods for practical use is that their software implementation can be awkward. Nevertheless, use of the freely available R package likelihoodAsy makes such implementation straightforward.