• Corpus ID: 214714371

ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information

@article{Rodrguezlvarez2020ROCnRegAR,
  title={ROCnReg: An R Package for Receiver Operating Characteristic Curve Inference with and without Covariate Information},
  author={Mar{\'i}a Xos{\'e} Rodr{\'i}guez-{\'A}lvarez and Vanda In{\'a}cio},
  journal={arXiv: Methodology},
  year={2020}
}
The receiver operating characteristic (ROC) curve is the most popular tool used to evaluate the discriminatory capability of diagnostic tests/biomarkers measured on a continuous scale when distinguishing between two alternative disease states (e.g, diseased and nondiseased). In some circumstances, the test's performance and its discriminatory ability may vary according to subject-specific characteristics or different test settings. In such cases, information-specific accuracy measures, such as… 

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