Table 3.
Example of data generated under the setting of a screening study with 5000 participants and the underlying incidence of disease being 10%
| (1) | (2) | ||||
| Data Set | Number with negative diagnostic test and verified | Number of false negatives | Proportion of false negatives (2)/(1) | AUC | |
| Categorize in 10 bins | Alonzo-Pepe | ||||
| Fully verified | 2500 | 99 | 4.0% | 0.750 | 0.750 |
| With verification bias | |||||
| Replication 1 | 50 (2.0%) | 2 | 4.0% | 0.690 | 0.712 |
| Replication 2 | 64 (2.6%) | 4 | 6.3% | 0.852 | 0.857 |
| Replication 3 | 40 (1.6%) | 2 | 5.0% | 0.550 | 0.546 |
| Replication 4 | 61 (2.4%) | 0 | 0.0% | 0.812 | 0.826 |
| Replication 5 | 65 (2.6%) | 3 | 4.6% | 0.790 | 0.803 |
In the fully verified data set, definitive test results were known for all 5000 participants. In the replications with verification bias, only 500 (10%) participants underwent definitive testing. False negatives are defined as verified participants with a diagnostic test result less than the median of the diagnostic test results and with a positive gold standard result. The AUC of the fully verified data set was 0.750; all other estimates are with correction for verification bias.