TABLE 3.
RHSP Pooled Testing Results (3,300 samples classified for each level of SDME)
| Mini+alg | MiniPred | MSS | Linreg | LRSOE | HyPred* | |
|---|---|---|---|---|---|---|
| SDME = 0 | ||||||
| Sensitivity (%) | 100 | 100 | 100 | 100 | 100 | 100 |
| Efficiency (%) | 76.8 | 85.4 | 76.5 | 76.8 | 76.3 | 80.2 |
| Rounds (per 100 samples) | 8.1 | 4.0 | 2.2 | 2.7 | 2.0 | 2.8 |
| SDME = .05 | ||||||
| Sensitivity (%) | 100 | 100 | 96.2 | 96.2 | 97.5 | 100 |
| Efficiency (%) | 72.8 | 81.1 | 76.5 | 76.5 | 76.0 | 79.2 |
| Rounds (per 100 samples) | 9.2 | 6.0 | 2.2 | 2.8 | 2.0 | 3.5 |
| SDME = .10 | ||||||
| Sensitivity (%) | 98.7 | 98.7 | 92.4 | 91.1 | 93.7 | 100 |
| Efficiency (%) | 72.2 | 80.2 | 76.4 | 76.4 | 76.0 | 79.0 |
| Rounds (per 100 samples) | 9.4 | 6.2 | 2.2 | 2.8 | 2.1 | 3.6 |
| SDME = .15 | ||||||
| Sensitivity (%) | 97.5 | 98.7 | 89.9 | 88.6 | 91.1 | 98.7 |
| Efficiency (%) | 70.8 | 78.3 | 76.1 | 76.5 | 75.5 | 75.1 |
| Rounds (per 100 samples) | 9.4 | 6.3 | 2.2 | 2.8 | 2.1 | 4.2 |
| SDME = .20 | ||||||
| Sensitivity (%) | 96.2 | 97.5 | 89.9 | 86.1 | 88.6 | 98.7 |
| Efficiency (%) | 66.2 | 73.2 | 76.2 | 76.5 | 75.3 | 72.2 |
| Rounds (per 100 samples) | 9.5 | 6.5 | 2.2 | 2.8 | 2.1 | 4.7 |
| SDME = .25 | ||||||
| Sensitivity (%) | 94.9 | 97.5 | 86.1 | 83.5 | 86.1 | 96.2 |
| Efficiency (%) | 62.0 | 68.7 | 75.8 | 76.1 | 74.6 | 72.1 |
| Rounds (per 100 samples) | 9.7 | 6.7 | 2.2 | 2.9 | 2.0 | 4.8 |
| SDME = .5 | ||||||
| Sensitivity (%) | 91.1 | 91.1 | 79.7 | 77.2 | 79.7 | 96.2 |
| Efficiency (%) | 49.0 | 55.0 | 72.0 | 73.0 | 70.8 | 63.8 |
| Rounds (per 100 samples) | 9.5 | 6.4 | 2.9 | 3.6 | 2.2 | 5.1 |
| SDME = .75 | ||||||
| Sensitivity (%) | 89.9 | 89.9 | 72.2 | 70.9 | 70.9 | 96.2 |
| Efficiency (%) | 45.6 | 51.0 | 71.7 | 72.7 | 69.8 | 53.0 |
| Rounds (per 100 samples) | 9.5 | 6.5 | 2.9 | 3.6 | 2.3 | 5.6 |
Hypred here is the I10MiniPred90-HyPred method, which individually tests samples in the top 10% of treatment failure risk and applies the MiniPred method to the remaining 90%. Sensitivity is defined as the percentage of treatment failures (V L ≥ 1000) detected compared with individual testing. Efficiency is the percentage of tests saved over individual testing. For example, if 30 tests are used to classify 100 samples, the efficiency is 70%. Rounds is the mean number of testing rounds needed to classify 100 samples (assuming max 20 tests per round). Assay sens. is the percentage of true treatment failures detected by individual testing when incorporating measurement error. Assay spec. is the percentage of false positives for treatment failure detected by individual testing. SDME denotes the standard deviation of measurement error on the log10 scale.