Table 2.
First author | Threshold ID, t | Threshold value, x | Imputed? | TP | FP | FN | TN | Total | High proteinuria | Normal proteinuria |
---|---|---|---|---|---|---|---|---|---|---|
Al Ragib | 1 | 0.13 | No | 35 | 51 | 4 | 95 | 185 | 39 | 146 |
2 | 0.14 | Yes | 34.7 | 49.1 | 4.3 | 96.9 | ||||
3 | 0.15 | Yes | 34.3 | 47.3 | 4.7 | 98.7 | ||||
4 | 0.16 | Yes | 33.9 | 45.5 | 5.1 | 100.5 | ||||
5 | 0.17 | Yes | 33.5 | 43.7 | 5.5 | 102.3 | ||||
6 | 0.18 | No | 33 | 42 | 6 | 104 |
The imputation is undertaken on the logit-scale, and then the values are back transformed to calculate the corresponding imputed raw data values.
ID ordered identification number, TP true positives, FP false positives, TN true negatives, FN false negatives.