ROC analysis and calculus of sensitivity, specificity and predictive values.
收藏Figshare2015-12-02 更新2026-04-29 收录
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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.
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2015-12-02
