Litcius/Paper detail

Interpreting area under the receiver operating characteristic curve

Anne de Hond, Ewout W. Steyerberg, Ben Van Calster

2022The Lancet Digital Health484 citationsDOIOpen Access PDF

Abstract

Clinicians often ask biostatisticians to provide a judgement on the quality of a prediction model. The prediction quality can be assessed with different performance criteria, with discriminative ability being a main issue: how well can we separate high-risk from low-risk patients? Discriminative ability is typically quantified by the area under the receiver operating characteristic curve (AUC) when we consider prediction of a binary event.

Topics & Concepts

Receiver operating characteristicMathematicsStatisticsStatistical Methods in Clinical TrialsMachine Learning in HealthcareStatistical Methods and Inference