Table 3.
Model | Parameters | Estimates (RSE, %) | CV (%) | Median (2.5–97.5%) | |
---|---|---|---|---|---|
Basic | V 1(l) | 5.2 (9.5) | 46.2 | − | |
V 2 (l) | 108 (3.6) | 27.8 | − | ||
CL(l∙min−1) | 0.17 (3.9) | 27.3 | − | ||
Q (l∙min−1) | 1.43 (7.3) | 47.4 | − | ||
σ2 (%) | 0.274 (7.3) | − | − | ||
Final | V 1 (l) | 5.12 (9.2) | 45.6 | 5.17 (4.05–6.34) | |
V 2 (l) | 108 (6.3) | 27.5 | 108 (99.4–117) | ||
CL (l∙min−1) θ1 + (59∙age−1) × θ2 | θ1 | 0.08 (47.5) | 26.3 | 0.06 (0.006–0.16) | |
θ2 | 0.09 (45.9) | 0.11 (0.02–0.33) | |||
Q(l∙ min−1) | 1.42 (10.2) | 47.0 | 1.41 (0.33–1.66) | ||
σ 2, % | 0.274 (3.1) | − | 0.27 (0.24–0.32) |
A log‐normal distribution of inter‐individual random variability was assumed. Residual random variability was modelled using a constant coefficient of variation (CV) model. Non‐parametric bootstrap analysis was repeated 2000 times. The shrinkage value of V 1, V 2, CL and Q was 19.98, 9.26, 9.94 and 7.99%, respectively. V 1 central volume of distribution; V 2 peripheral volume of distribution; CL clearance; Q inter‐compartmental clearance; RSE relative standard error = SE∙mean−1 × 100 (%); σ2 variance of residual random variability.