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Figure 1 | BMC Medical Genomics

Figure 1

From: A comparison of statistical methods for the detection of hepatocellular carcinoma based on serum biomarkers and clinical variables

Figure 1

ROC curves based on multivariable stepwise penalized logistic regression models ( stepPLR ) using the stratified male-only subset. The age-adjusted final model for λ = 0.1 showed the best performance in terms of AUC. A clear distinction is seen in the ROC curves for age-adjusted models compared to age-unadjusted models. Age-adjusted models demonstrated superior performance overall across all choices of λ. See Table 1 for detailed results and the text for discussion of these results.

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