Statistics review 13: Receiver operating characteristic curves

By Viv Bewick, Liz Cheek, J. Ball. Critical Care, 2004

834 citations recorded by the source corpus.

This review introduces some commonly used methods for assessing the performance of a diagnostic test. The sensitivity, specificity and likelihood ratio of a test are discussed. The uses of the receiver operating characteristic curve and the area under the curve are explained.

Subfields: Biomedical Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/98e1329c76c2cffa4a3dfea36b6e456753b82b4c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. D. Gordon

In Statistics and Probability

1. Daphne A. Onderdonk
2. A. Fox
3. R. Stocker
4. D. Gordon

Citations in the corpus

• Consistent accuracy of the Australian weed risk assessment system across varied geographies (2008, background): “X ]), or Youden’s index (Bewick et al ., 2004).”
• ProTox-II: a webserver for the prediction of toxicity of chemicals (2018, methodology): “The AUC–ROC has been used as an effective measure for binary classifiers trained on imbalanced data set (having minority and majority class) (30).”
• ProTox 3.0: a webserver for the prediction of toxicity of chemicals (2024, neutral): “The F1 ranges between 0 (less significant) to 1 (perfect) ( 16 ,17 ).”
• Performances of prognostic scoring systems in patients with healthcare-associated pneumonia. (2013, background): “The cutoff point which showed the highest Youden index was considered the optimal cutoff value [22].”