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. 2010 Jul;70(1):88–101. doi: 10.1111/j.1365-2125.2010.03662.x

Table 3.

Parameter estimates from the population pharmacokinetic final model for trials 1, 2 and 3

Structural model:
CL/F = θCL × (WT/70)0.75 × (AAG/20.0)θAAG_CL × eηCL
V/F = θV × (WT/70) × (AAG/20.0)θAAG_V × eηV
Ka = θKa × eηKa, ALAG1 = θALAG1
Residual random effect model:
Y = Ŷ + Ŷ × ε1 + ε2
Parameter Estimate %RSE Description
CL/F (l h−1) 2.28 4.21 Apparent clearance
θAAG_CL −0.844 −15.1 Effect of AAG on the apparent clearance
V/F (l) 37.5 6.35 Apparent volume of distribution
θAAG_V −0.663 −24.3 Effect of AAG on the apparent volume of distribution
Ka (h−1) 0.368 12.0 First order absorption rate constant
ALAG1 (h) 0.957 1.14 Absorption lag time
IIV in CL/F (CV%) 54.4 11.4a Inter-individual variability in the apparent clearance
IIV in V/F (CV%) 61.2 17.7a Inter-individual variability in the apparent volume of distribution
IIV in Ka (CV%) 117 19.7a Inter-individual variability in the first order absorption rate constant
Cov_V/CL 0.238 16.7a Covariance between inter-individual variability in the apparent clearance and inter-individual variability in the apparent volume of distribution. The estimate translates to a coefficient of correlation of 0.715
Proportional residual variability (CV%) 28.4 6.13b
Additive residual variability (SD ng ml−1) 0.178 27.0b
a

SE is given on the variance scale.

b

SE was derived by coding the residual error using THETAs.