ROC analysis and calculus of sensitivity, specificity and predictive values.
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https://figshare.com/articles/dataset/_ROC_analysis_and_calculus_of_sensitivity_specificity_and_predictive_values_/166448
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资源简介：
AUC: area under the curve, FPF: false positive fraction, TNF: true negative fraction, TPF: true positive fraction, FNF: false negative fraction, PPV: Positive predictive value, NPV: Negative predictive value.
aOptimal cut-off values (ng/ml) were selected according to the ROC analysis.
bChi square test.
cJ = sensitivity+specificity − 1.
创建时间：
2013-02-06
