Fig. 4
From: Cholesterol reducer and thrombolytic therapy in acute ischemic stroke patients
The ROC curve for the predictive power of the regression model AIS population who received rtPA and were not taking a cholesterol reducer. Higher area under the curve (AUC) values in ROC analysis indicate better discrimination of the score for the measured outcome. Classification table (overall correctly classified percentage = 65.7%) and area under the ROC curve (AUC = 0.681, 0.637–0.724) were applied to check model fitness. ^Indicates that data were modified by taking the 5th square root