Combining predictors for classification using the area under the receiver operating characteristic curve.

@article{Pepe2006CombiningPF,
  title={Combining predictors for classification using the area under the receiver operating characteristic curve.},
  author={Margaret Sullivan Pepe and Tianxi Cai and Gary M. Longton},
  journal={Biometrics},
  year={2006},
  volume={62 1},
  pages={221-9}
}
No single biomarker for cancer is considered adequately sensitive and specific for cancer screening. It is expected that the results of multiple markers will need to be combined in order to yield adequately accurate classification. Typically, the objective function that is optimized for combining markers is the likelihood function. In this article, we consider an alternative objective function-the area under the empirical receiver operating characteristic curve (AUC). We note that it yields… CONTINUE READING
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