TABLE 4.
Mean PK 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 (%) | |||
| Cl (L/h) | 5.5 | 5.41 [5.08, 5.74] | -0.09 [-0.42, 0.24] | -1.64 [-7.64, 4.36] |
| Vc (L) | 64.4 | 61.89 [46.52, 77.84] | -2.51 [-17.88, 13.44] | -3.90 [-27.76, 20.87] |
| Q (L/h) | 12.9 | 12.36 [10.12, 14.40] | -0.54 [-2.78, 1.50] | -4.19 [-21.55, 11.63] |
| Vp (L) | 107 | 111.44 [89.13, 139.44] | 4.44 [-17.87, 32.44] | 4.15 [-16.70, 30.32] |
| ka (/h) | 0.919 | 0.996 [0.83, 1.21] | 0.08 [-0.09, 0.29] | 8.38 [-9.68, 31.66] |
a
Estimates are the posterior median values from a Bayesian hierarchical model.