Table 4.
No. | Sampling days | Sensitivity | Specificity | ||||
---|---|---|---|---|---|---|---|
Besta | Evaluationb | Diff. | Besta | Evaluationb | Diff. | ||
Streamlined designs A | |||||||
1 | 7 + 13 | 0.98 | 0.98 | 0.00 | 0.96 | 0.94 | −0.02 |
2 | 7 + 14 | 0.98 | 0.96 | −0.02 | 0.97 | 0.94 | −0.03 |
3 | 8 + 13 | 0.99 | 0.98 | −0.01 | 0.96 | 0.93 | −0.03 |
4 | 8 + 14 | 0.99 | 0.97 | −0.02 | 0.96 | 0.92 | −0.04 |
5 | 9 + 13 | 0.99 | 0.98 | −0.01 | 0.95 | 0.93 | −0.02 |
6 | 9 + 14 | 0.99 | 0.98 | −0.01 | 0.96 | 0.89 | −0.07 |
7 | 2 + 7+13 | 0.98 | 0.99 | 0.01 | 0.94 | 0.88 | −0.06 |
8 | 2 + 7+14 | 1.00 | 0.99 | −0.01 | 0.94 | 0.89 | −0.05 |
9 | 2 + 8+13 | 0.97 | 1.00 | 0.03 | 0.93 | 0.87 | −0.06 |
10 | 2 + 8+14 | 0.99 | 1.00 | 0.01 | 0.93 | 0.89 | −0.04 |
11 | 2 + 9+13 | 0.97 | 1.00 | 0.03 | 0.92 | 0.85 | −0.07 |
12 | 2 + 9+14 | 0.99 | 1.00 | 0.01 | 0.92 | 0.87 | −0.05 |
13 | 3 + 7+13 | 0.99 | 0.99 | 0.00 | 0.94 | 0.91 | −0.03 |
14 | 3 + 7+14 | 1.00 | 1.00 | 0.00 | 0.93 | 0.86 | −0.07 |
15 | 3 + 8+13 | 0.99 | 1.00 | 0.01 | 0.94 | 0.89 | −0.05 |
16 | 3 + 8+14 | 1.00 | 1.00 | 0.00 | 0.93 | 0.85 | −0.08 |
17 | 3 + 9+13 | 0.99 | 1.00 | 0.01 | 0.95 | 0.89 | −0.06 |
18 | 3 + 9+14 | 0.99 | 1.00 | 0.01 | 0.93 | 0.86 | −0.07 |
Streamlined designs B | |||||||
19 | 5 + 7 | 0.98 | 0.99 | 0.01 | 0.94 | 0.89 | −0.05 |
20 | 5 + 8 | 0.99 | 0.99 | 0.00 | 0.94 | 0.89 | −0.05 |
21 | 5 + 9 | 0.98 | 0.99 | 0.01 | 0.95 | 0.89 | −0.06 |
22 | 1 + 5+7 | 0.89 | 0.89 | 0.00 | 0.93 | 0.90 | −0.03 |
23 | 1 + 5+8 | 0.91 | 0.95 | 0.04 | 0.94 | 0.90 | −0.04 |
24 | 1 + 5+9 | 0.96 | 0.99 | 0.03 | 0.95 | 0.92 | −0.03 |
25 | 2 + 5+7 | 0.93 | 1.00 | 0.07 | 0.94 | 0.89 | −0.05 |
26 | 2 + 5+8 | 0.95 | 1.00 | 0.05 | 0.95 | 0.88 | −0.07 |
27 | 2 + 5+9 | 0.97 | 1.00 | 0.03 | 0.95 | 0.87 | −0.08 |
28 | 3 + 5+7 | 0.97 | 0.99 | 0.02 | 0.97 | 0.91 | −0.06 |
29 | 3 + 5+8 | 0.99 | 0.99 | 0.00 | 0.97 | 0.92 | −0.05 |
30 | 3 + 5+9 | 0.99 | 1.00 | 0.01 | 0.97 | 0.92 | −0.05 |
Diff, value of “Evaluation” minus “Best.”
Best = best streamlined design. These designs were identified and optimized from the imputed full model building data set. They were considered as potentially useful designs for future field studies.
Evaluation = evaluation of the best streamlined designs. The imputed full model evaluation data set was used to validate the performance of the best streamlined designs.