Table 2.
Power of uBI (AUC) and score cutoffs for analyte categorization on SMI data
| Strong predictors | Moderate predictors | Weak predictors | ||
|---|---|---|---|---|
| TP2 (TP2*) | cutoff | 0.7 (0.6) | 0.55 (0.4) | 0.4 (0.2) |
| |uBI| score | cutoff | – | 50 | 27 |
| |uBI| score | AUC | – | 0.990 | 0.994 |
| P-value | AUC | – | 0.980 | 0.971 |
| IG | AUC | – | 0.980 | 0.937 |
| RF | AUC | – | 0.857 | 0.938 |
| H0: area(uBI) = area(P-value) = area(IG) = area(RF) | χ 2 | – | 1.06 | 9.19 |
| P > χ 2 | – | 0.7856 | 0.0269 |
ROC analysis for estimating the power of the method uBI versus unpaired statistical testing (P-value), and IG and RF to rank variables according to their predictive value. A total of 102 metabolites were considered for analysis to estimate the uBI cutoffs for categorization. Too little data were available to perform a representative ROC analysis for TP2* = 0.6.