TABLE 6.
Mean PD parameter estimates [95% intervals] over 1,000 fitted data sets and associated bias when compared to the values used to simulate the dataa
| Parameter (units) | “True” value | Posterior medians | Bias | |
|---|---|---|---|---|
| Absolute | Relative (%) | |||
| ipl (#×103) | 1.8 | 1.78 [1.75, 1.82] | -0.02 [-0.051, 0.018] | -1.11 [-2.83, 1.00] |
| µipl (h) | 2 | 2.96 [2.69, 3.44] | 0.96 [0.69, 1.44] | 48.00 [34.50, 72.00] |
| σipl (h) | 3 | 1.40 [1.28, 1.55] | -1.60 [-1.72, -1.45] | -53.33 [-57.33, -48.33] |
| PMF | 13 | 14.55 [13.48, 16.80] | 1.55 [0.48, 3.80] | 11.92 [3.69, 29.23] |
| Emax (% killed/h) | 0.23 | 0.29 [0.23, 0.38] | 0.06 [0.00, 0.15] | 26.09 [0.00, 65.22] |
| EC 50 (ng/mL) | 15.1 | 17.27 [13.80, 21.12] | 2.17 [-1.30, 6.02] | 14.37 [-8.61, 39.87] |
| γ | 5 | 4.72 [2.86, 6.83] | -0.28 [-2.14, 1.83] | -5.60 [-42.80, 36.60] |
a
Estimates are the posterior median values from a Bayesian hierarchical model.