Only one cytokine, RANTES, was significantly increased (P < 0.01 for each analysis) in all four subtypes, with areas under the curve (AUC) for receiver operating characteristic values that ranged from 0.76 to 0.82, depending on cancer subtype.
α, false positive rate; β, false negative rate; PPV, positive predictive value; NPV, negative predictive value; ACC, accuracy; AUROC, area under the receiver operating characteristic curve (value ± standard error as calculated from the ROC curves); ICU, intensive care unit.
The final model had an average area under the curve (AUC) of a receiver operating characteristic plot value of 0.72 in predicting the annual area of new mortality for the independent validation years, and the mean deviation from the base maps in the MPB mortality areal estimates was around 5%.
Using the L values from these pathways and models based on the KStar classifier, a maximum AUC (area under the receiver operating characteristic curve) value of 0.80 was obtained.
The receiver operating characteristic curve value was 0.77 for women and 0.75 for men.
3 Although these studies are not directly comparable to QBleed, the C statistics presented tended to be lower than the receiver operating characteristic curve value we report for QBleed (intracranial bleed) in patients with atrial fibrillation (0.65, 0.61 to 0.69).
Although not directly comparable to HAS-BLED, the receiver operating characteristic curve value for QBleed (intracranial bleed) among patients with atrial fibrillation was 0.65 (95% confidence interval 0.61 to 0.69) in our validation cohort, which is slightly higher than the median C statistic from six cohort studies for HAS-BLED (0.61, 0.59 to 0.62).
Hence in this study, area under receiver operating characteristic curve values were used for benchmarking especially when the dataset is unbalanced.
It was observed that the Random Forest approach based on MACCS molecular fingerprints and a subset of 13 molecular descriptors selected based on statistical and literature analysis performed best in terms of the area under the receiver operating characteristic curve values.
The performance over the complete data set suffers from late retrievals of dissimilar chemotypes reducing the arithmetic weighted version of the area under the receiver operating characteristic curve values.
A meta-analysis that compared the effectiveness of MRE and DWI for staging liver fibrosis concluded that MRE was more reliable and resulted in a better combination of sensitivity and specificity, likelihood ratio, diagnostic odds ratio, and area under the summary receiver operating characteristic curve values [ 31].
