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Figure 1 | BMC Public Health

Figure 1

From: A routine biomarker-based risk prediction model for metabolic syndrome in urban Han Chinese population

Figure 1

ROC curve for prediction of metabolic syndrome. A shows the predictive effect in males, B represents corresponding result in females. The dotted plots stand for 95% Confidence Interval. A: Area under the ROC curve (AUC) 0.802; Standard Error 0.0168; 95% Confidence Interval 0.776 to 0.826; z statistic 17.916; Significance level P (Area = 0.5) 0.0001. Point with the highest accuracy showed sensitivity 73.4 and specificity 73.3 under the cut-off 0.2749. B: Area under the ROC curve (AUC) 0.902; Standard Error 0.0264; 95% Confidence Interval 0.874 to 0.925; z statistic 15.233; Significance level P (Area = 0.5) 0.0001. Point with the highest accuracy showed sensitivity 87.1 and specificity 83.0 under the cut-off 0.1181.

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