Figure 3.
Receiver operator characteristic (ROC) curve evaluating the sensitivity and specificity of the model predicting PPMV. Area under the curve (AUC) for the predictors was 0.87 (95% CI = 0.79–0.96; p < 0.001). AUC for the ROC indicates the usefulness of a test (our model) in predicting a binomial outcome (PMV yes/no). A value of 0.87 indicates “good” model predictive ability.