Table 1. Descriptive statistics for PD distributions calculated from 106 Monte Carlo repetitions for each of the five SQ parameters under varying noise and pharmacokinetic conditions.
| PD | Mean | SD | Skewness | Kurtosis | |||||||||
| Curve type | noise(%) | 5 | 10 | 15 | 5 | 10 | 15 | 5 | 10 | 15 | 5 | 10 | 15 |
| Type I: Persistent | MSE | −0.1 | −0.3 | −0.7 | 10.7 | 21.3 | 31.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| ΣMSE | −0.1 | −0.2 | −0.5 | 5.3 | 10.6 | 15.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| MSErel | 0.4 | 1.8 | 4.0 | 14.7 | 30.0 | 46.6 | 0.3 | 0.5 | 0.9 | 0.1 | 0.7 | 2.2 | |
| ΣMSErel | 0.3 | 1.3 | 3.0 | 10.3 | 21.0 | 32.8 | 0.3 | 0.6 | 1.1 | 0.2 | 0.8 | 3.0 | |
| Rmse1/mse2 | 0.1 | 0.3 | 0.7 | 9.4 | 19.2 | 30.1 | 0.1 | 0.1 | 0.2 | 0.1 | 0.3 | 1.1 | |
| Type II: Washout | MSE | −0.1 | −0.2 | −0.5 | 6.4 | 12.8 | 19.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| ΣMSE | −0.1 | −0.3 | −0.6 | 7.7 | 15.3 | 22.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| MSErel | 0.3 | 1.2 | 2.8 | 10.6 | 21.6 | 33.7 | 0.3 | 0.6 | 1.0 | 0.1 | 0.7 | 2.4 | |
| ΣMSErel | 0.4 | 1.7 | 3.9 | 12.6 | 25.7 | 40.2 | 0.3 | 0.6 | 1.1 | 0.2 | 0.8 | 2.9 | |
| Rmse1/mse2 | 1.1 | 5.2 | 6.8 | 10.9 | 69.6 | 8E3 | 0.7 | −622 | −801 | 1.0 | 5E5 | 7E5 | |
| Type III: Weak | MSE | −0.1 | −0.4 | −1.0 | 26.7 | 53.4 | 79.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| ΣMSE | −0.1 | −0.3 | −1.0 | 21.1 | 42.2 | 63.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | |
| MSErel | 1.0 | 4.0 | 9.0 | 30.6 | 62.3 | 96.6 | 0.2 | 0.5 | 0.9 | 0.1 | 0.6 | 1.9 | |
| ΣMSErel | 1.1 | 4.2 | 9.4 | 26.1 | 53.4 | 83.5 | 0.3 | 0.6 | 1.1 | 0.2 | 0.8 | 2.6 | |
| Rmse1/mse2 | 6.0 | 134 | 192 | 253 | 1E5 | 2E5 | −465 | 945 | 954 | 3E5 | 9E5 | 9E5 | |