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. 2010 Nov 30;5(11):e14132. doi: 10.1371/journal.pone.0014132

Figure 1. Receiver operating characteristic (ROC) curves for the multivariate logistic regression analysis and discriminant analysis models.

Figure 1

AUC, area under the ROC curve; Sensitivity, proportion of responders which are correctly identified; Specificity, proportion of non-responders which are correctly identified. Variables included in the models in decreasing order of significance: logistic regression model, Core amino acid pattern and nHap_E1–E2; discriminant analysis model 1, Core amino acid pattern, nHap_E1–E2, Sqrt(GGT quotient), Sqrt(ALT quotient), Log(viral load), Sqrt(S_HVR-2), body weight, and Log(Ks_E1–E2); discriminant analysis model 2, Core amino acid pattern, nHap_E1–E2, Sqrt(GGT quotient), Sqrt(ALT quotient), nHap_HVR-1, and Sqrt(Ks_HVR-1), and body weight.