Table 4. Summary of simulations.
| r values | Specificity, % |
|---|---|
| ra = 0.25, rd = 0.80, rn = 0.22, ri = 0.88 | 94.9 |
| (Estimated from data) | |
| ra, rd, rn = 0.2-0.9 | |
| ri = 0.2-0.6 | >99 |
| ri = 0.7 | >98 |
| ri = 0.8 | >95 |
| ra, rd = 0.2-0.9, ri = 0.9 | |
| rn = 0.2 | >85 |
| rn = 0.3 | >90 |
| rn = 0.4-0.9 | >95 |
Summary of specificity statistic (number of true positives/number of total positives) for 1,000 data sets each for combinations of r values from 0.2-0.9. For each combination of r values in the range given in the first column, the specificity exceeds the value given in the second column. For example, for every combination of r values with ra, rd, and rn between 0.2 and 0.9 and ri between 0.2 and 0.6, specificity exceeds 99%.