Table 2.
The best-fit population estimates from fitting the TS model to two datasets using a nonlinear mixed-effect modeling approach. S.E. and R.S.E. stand for standard error and relative standard error, respectively.
| Population estimate | S.E. (R.S.E.) | Random effect | S.E. (R.S.E.) | |
|---|---|---|---|---|
| log10 KM (/ml) | 1.54 | 4.6 (300%) | 0.17 | 1.79 (1040%) |
| δ1 (/day) | 1.68 | 0.14 (8.42%) | 0.14 | 0.38 (267%) |
| δ2 (/day) | 10.1 | 1.36 (13.5%) | 0.075 | 0.15 (206%) |
| P1 (TCID50/ml/day) | 5.74 | 6.66 (116%) | 0.098 | 0.16 (160%) |
| log10 Vf (0) (/ml) | −4.22 | 1.22 (28.9%) | 0.034 | 0.055 (160%) |