Table 2.
AUROC Area Under the Receiver Operator Curve (AUROC)
| p = 100 | ‘un-shrunk’ | ‘shrunk’ | gLASSO** |
|---|---|---|---|
| n = 10 | 0.732364 | 0.727612 | 0.6232 |
| n = 20 | 0.819128 | 0.814088 | 0.7409 |
| n = 30 | 0.862744* | 0.8546 | 0.811604 |
| n = 40 | 0.884656* | 0.87488 | 0.83344 |
| n = 50 | 0.899008* | 0.889684 | 0.881036 |
| n = 60 | 0.90848* | 0.89878 | 0.888068 |
| n = 70 | 0.914616* | 0.904952 | 0.890632 |
| n = 80 | 0.920464* | 0.90786 | 0.906792 |
| n = 90 | 0.929408* | 0.917688 | 0.91554 |
| n = 100 | 0.929864* | 0.91908 | 0.915912 |
The table provides the average AUROC scores across 25 data sets for a network of p = 100 nodes with 3% of true positives edges and varying sample size n
*Two-sides t-test between the ‘un-shrunk’ and ‘shrunk’ methods statistically significant at 0.05
**STAR model selection is used from the R package ‘huge’[15, 19]