Sample size determination for diagnostic accuracy studies involving binormal ROC curve indices.

@article{Obuchowski1997SampleSD,
  title={Sample size determination for diagnostic accuracy studies involving binormal ROC curve indices.},
  author={Nancy A. Obuchowski and Donna K McClish},
  journal={Statistics in medicine},
  year={1997},
  volume={16 13},
  pages={1529-42}
}
Receiver operating characteristic (ROC) curves and their associated indices are valuable tools for the assessment of the accuracy of diagnostic tests. The area under the ROC curve is a popular summary measure of the accuracy of a test. The full area under the ROC curve, however, has been criticized because it gives equal weight to all false positive error rates. Alternative indices include the area under the ROC curve in a particular range of false positive rates ('partial' area) and the… CONTINUE READING

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