pROC: an open-source package for R and S+ to analyze and compare ROC curves
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Cites methods from "pROC: an open-source package for R ..."
...The pROC package (Robin et al. 2011) can create the curve and derive various statistics....
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...The bars represent 95% confidence intervals that were derived using the bootstrap (Robin et al. 2011)....
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"pROC: an open-source package for R ..." refers background or methods in this paper
...The CIs of the thresholds or the sensitivity and specificity values are computed with bootstrap resampling and the averaging methods described by Fawcett [4]....
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...AUCs are computed with trapezoids [4]....
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...Fawcett T: An introduction to ROC analysis....
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...They are now commonly used in medical decision making, bioinformatics [3], data mining and machine learning, evaluating biomarker performances or comparing scoring methods [2,4]....
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