Table 2.
Bootstrap estimates of pA
| Source | Norm | nb | Prop | Est | SE | 90% CI |
|---|---|---|---|---|---|---|
| UM-MDA231 | Qspline | 39 | 0.75 | 0.788 | 0.023 | (0.746, 0.819) |
| 37 | 0.50 | 0.529 | 0.065 | (0.396, 0.604) | ||
| 10 | 0.25 | 0.304 | 0.108 | (0.180, 0.437) | ||
| UM-MCF7 | Quantile | 100 | 0.75 | 0.722 | 0.086 | (0.596, 0.863) |
| 0.50 | 0.448 | 0.057 | (0.375, 0.553) | |||
| 0.25 | 0.286 | 0.031 | (0.265, 0.336) | |||
| MAQC-ILM | Cubic | 40 | 0.75 | 0.776 | 0.041 | (0.710, 0.842) |
| 55 | 0.25 | 0.303 | 0.021 | (0.275, 0.335) | ||
| MAQC-AFFX | MAS5 | 14 | 0.75 | 0.763 | 0.040 | (0.688, 0.805) |
| 68 | 0.25 | 0.270 | 0.027 | (0.232, 0.317) | ||
| BIIB500 | MAS5 | 100 | 0.80 | 0.761 | 0.031 | (0.697, 0.800) |
| 0.60 | 0.576 | 0.048 | (0.508, 0.659) | |||
| 0.40 | 0.493 | 0.053 | (0.388, 0.567) | |||
| 0.20 | 0.208 | 0.101 | (0.092, 0.381) | |||
| BIIB100 | MAS5 | 100 | 0.80 | 0.752 | 0.021 | (0.722, 0.789) |
| 0.60 | 0.518 | 0.050 | (0.437, 0.593) | |||
| 0.40 | 0.443 | 0.050 | (0.365, 0.527) | |||
| 0.20 | 0.190 | 0.093 | (0.067, 0.347) |
Source, data source; Norm, normalization; nb, number of bootstrap samples; Prop, true value of pA; Est, bootstrap point estimate, SE, bootstrap standard error; 90% CI , 90% bootstrap confidence interval. Bold values denotes cases where the true pA is not in the interval.