Resampling techniques in the analysis of non-binormal ROC data.

@article{Mossman1995ResamplingTI,
  title={Resampling techniques in the analysis of non-binormal ROC data.},
  author={Douglas Mossman},
  journal={Medical decision making : an international journal of the Society for Medical Decision Making},
  year={1995},
  volume={15 4},
  pages={358-66}
}
  • Douglas Mossman
  • Published 1995 in
    Medical decision making : an international…
The methods most commonly used for analyzing receiver operating characteristic (ROC) data incorporate "binormal" assumptions about the latent frequency distributions of test results. Although these assumptions have proved robust to a wide variety of actual frequency distributions, some data sets do not "fit" the binormal model. In such cases, resampling techniques such as the jackknife and the bootstrap provide versatile, distribution-independent, and more appropriate methods for hypothesis… CONTINUE READING