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. 2006 Nov;50(11):3754–3762. doi: 10.1128/AAC.00420-05

TABLE 5.

Bootstrap validation of the estimated population pharmacokinetic parameters in the final model

Parametera Final model estimate (95% CI)b Bootstrap meanc (95% CI) Difference (%)d
θ1 0.0319 (0.021-0.043) 0.0322 (0.021-0.045) 0.85
θ2 0.17 (0.153-0.187) 0.167 (0.146-0.187) −2.0
θ3 15.7 (12.1-19.3) 14.9 (8.99-20.3) −5.1
θ4 3.84 (3.07-4.61) 4.01 (3.08-6.35) 4.3
θ5 0.013 (0.0013-0.0247) 0.0123 (0.0014-0.0242) −5.1
θ6 0.0342 (0.0042-0.0642) 0.0362 (0.0062-0.0639) 5.8
θ7 26.5 (3.57-49.0) 27 (6.16-53.3) 1.9
θ8 1.6 (1.42-1.78) 1.62 (1.44-1.89) 1.2
θ9 1.4 (1.20-1.60) 1.43 (1.22-1.70) 1.9
θ10 1.19 (1.01-1.38) 1.17 (0.75-1.36) −1.7
θ11 1.55 (1.08-2.02) 1.81 (1.04-4.32) 16.0
θ12 3.22 (2.36-4.08) 3.1 (1.21-4.71) −3.9
ω12 0.151 (0.082-0.220) 0.152 (0.084-0.236) 0.91
ω22 0.138 (0.102-0.174) 0.142 (0.103-0.220) 3.1
ω32 2.71 (0.20-5.22) 2.72 (0.022-6.61) 0.39
σ2 1.15 (0.74-1.56) 1.12 (0.70-1.54) −2.5
a

θs are the population mean parameters. Refer to the footnote of Table 3 for the denotation of each θ parameter.

b

95% CI, 95% confidence interval.

c

Mean of 200 bootstrap repetitions.

d

The difference between the final model estimate and bootstrap mean is calculated as follows: [(bootstrap mean − final model estimate)/final model estimate] × 100.