Table 2.

Final Model-Predicted PK Parameter Estimates

PK Parameter	Estimate	Transformed Estimate∗	Transformed 95% CI
CL/F, L/day	−1.12	0.325	0.307, 0.343
VC/F, L	0.603	1.83	1.62, 2.06
KA, day−1	−2.94	0.0528	0.0493, 0.0567
Lambda (λ)	2.57	—	—
Age on CL/F (${\vartheta }_6$)	−0.559	—	—
C3 on CL/F (${\vartheta }_7$)	−0.350	—	—
Female sex on CL/F (${\vartheta }_8$)	−0.286	0.751	0.705, 0.800
Residual variability, %
Log additive	0.300	30.0	28.7, 31.2
Interindividual variability, ω2
CL/F	0.0587	—	—
KA	0.122	36.0% CV	28.6% CV, 42.2% CV
Condition number	18

CI = confidence interval; CL/F = apparent systemic clearance from serum; CV = coefficient of variation; KA = vitreous-to-serum absorption rate constant; PK = pharmacokinetic; VC/F = apparent volume of the central serum compartment.

ⴄ-shrinkage: 17.6% $\left({{\eta }_i}^{CL/F}\right)$, 17.6% $\left({{\eta }_i}^{KA}\right)$.

The following equations describe the covariate-parameter relationships in the model:

$COVCL={\vartheta }_6·\left(\mathit{Log}\left(Age\right)-\mathit{Log}\left(80years\right)\right)+{\vartheta }_7·\left(\mathit{Log}\left(BaselineC3\right)-\mathit{Log}\left(1.2g/L\right)\right)+{\vartheta }_8·FemaleSex$

$TETACL=\frac{\left(\exp \left({{\eta }_i}^{CL/F}·\lambda \right)-1\right)}{\lambda }$

${CL/F}_i=\exp \left(CL/F+COVCL+TETACL\right)$

${VC/F}_i=\exp \left(VC/F\right)$

${KA}_i=\exp \left(KA+{{\eta }_i}^{KA}\right)$

^∗For categorical covariates, transformed estimates represent the multiplicative difference in the parameter value from the reference category.