Fig. 2
From: Cholesterol reducer and thrombolytic therapy in acute ischemic stroke patients
The ROC curve for the predictive power of the regression model for AIS population with rtPA. 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 = 61.8%) and area under the ROC curve (AUC = 0.677, 0.646–0.707) were applied to check model fitness. ^Indicates that data were modified by taking the 5th square root