# Interpreting area under the receiver operating characteristic curve

“Interpreting area under the receiver operating characteristic curve” (2022), by Anne de Hond et al. Mathematics research paper. Original abstract below, unchanged. A free PDF is available.

- Authors: Anne de Hond, Ewout Willem Steyerberg, Ben VAN CALSTER
- Published: October 18, 2022
- Field: Mathematics
- DOI: https://doi.org/10.1016/s2589-7500(22)00188-1
- Free PDF: https://lirias.kuleuven.be/retrieve/0dfe988f-8b34-4328-b7ed-cd2d5362e266

## 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.

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