https://www.selleckchem.com/products/OSI-906.html
Binary logistic regression analysis showed that males, age, hypertension, diabetes, CKD stages, calcium, platelet, and albumin were risk factors for atherosclerosis. The accuracy of fitted logistic models was evaluated by the area under the ROC curve (AUC), which showed good predictive accuracy in the training set (AUC=0.764 (95% Confidence interval (CI) 0.733-0.794) and validation set (AUC=0.808 (95% CI 0.765-0.852). A high net benefit was also proven by the DCA. Finally, these predictors were all included to generate the nomogram. Thi
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