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. 2020 Jan 2;43(7):zsz321. doi: 10.1093/sleep/zsz321

Table 3.

Between condition performance metrics

IV ACC IV sensitivity IV specificity IV MCC IV AUROC
Compounds with and without 24-hour time-of-day patterns included
 Logistic Regression: 5H and BL (66) 71% 47% 100% 0.54 0.82 ± 0.08
 Logistic Regression: 5H and 9H (66) 61% 47% 71% 0.19 0.60 ± 0.10
 Linear SVM: 5H and BL (47) 71% 47% 100% 0.54 0.91 ± 0.06
 Linear SVM: 5H and 9H (47) 56% 47% 62% 0.09 0.63 ± 0.10
Compounds with 24-hour time-of-day patterns excluded
 Logistic Regression: 5H and BL (65) 71% 47% 100% 0.54 0.83 ± 0.08
 Logistic Regression: 5H and 9H (65) 64% 47% 76% 0.24 0.63 ± 0.10
 Linear SVM: 5H and BL (65) 71% 60% 85% 0.46 0.83 ± 0.08
 Linear SVM: 5H and 9H (65) 69% 60% 76% 0.37 0.64 ± 0.10

5H and BL indicates samples from the 9H condition were excluded from the calculation of performance metrics. 5H and 9H indicates samples from the BL condition were excluded from the calculation of performance metrics. Numbers in parenthesis indicate total number of compounds in each biomarker model. BL, baseline condition; 9H, control condition; 5H, insufficient sleep condition; ACC, accuracy.