Table 3.

Parameter estimates in the AD population studied

	Base model		Final covariate model
Parameter	Value	RSE (%)	Value	RSE (%)
a) Fixed effects
ka (h−1)	0.377	8.8	0.385	8.8
V2/F (l)	653	2.3	649	2.2
CLnon-met-male/F (l h−1)	1.14	3.5	1.52	5.0
CLnon-met-female/F (l h−1)	1.14	3.5	1.16	5.8
CLmet/F (l h−1)	0.396	3.6	0.395	3.6
V3/F (l)	501.7	–	498.6	–
CLM1/F (l h−1)	0.936	3.7	0.925	3.6

	Base model		Final covariate model
Parameter	Value	RSE (%)	Value	RSE (%)
b) Covariate influence
V2/F_WT (%)1	n.a.	–	1.06	14.9
CLnon-met/F_CLCR (%)2	n.a.	–	1.17	20.9
CLmet/F_WT (%)3	n.a.	–	0.31	30.6
V3/F_BMI (%)4	n.a.	–	2.05	33.2
V3/F_AGE (%)4	n.a.	–	1.41	18.7

	Base model		Final covariate model
Parameter	Value	RSE (%)	Value	RSE (%)
c) Random effects
ωCLnon-met/F (CV%)	76.9	14.5*	70.2	16.1*
ωCLmet/F (CV%)	24.3	12.4*	23.6	13.2*
ωV2/F (CV%)	36.1	15.2*	30.5	13.8*
ωV3/F (CV%)	35.9	11.2*	33.2	12.7*
ωka (CV%)	96.6	17.9*	95.6	18.0*
Correlation	0.66	17.8$	0.585	20.6$
CLnon-met/F_V2/F
prop. errNS2330 (%)	19.4	11.6*	19.4	11.6*
prop. errM1 (%)	20.0	11.5*	19.9	11.6*
add. errNS2330 (ng ml−1)	±0.142	47.1*	±0.146	45.9*

¹V2/F = TVV2/F_individual × [1 + V2/F_WT × (WT-68.04)] × EXP(ωV2/F);

²CL_CR< 62.5 ml min⁻¹: CL_non-met/F_individual = CL_non-met-sex/F × [1 + CL_non-met/F_CL_CR × (CL_CR − 62.5)] × EXP( ω CL_non-met/F) CL_CR ≥ 62.5 ml min⁻¹: CL_non-met/F_individual = CL_non-met-sex/F × EXP( ω CL_non-met/F);

³CL_met/F_individual = CL_met/F × [1 − CL_met/F_WT × (WT − 68.04) × EXP( ω CL_met/F);

⁴V3/F_individual = V3/F × [1 + V3/F_BMI × (BMI_– 25.5)] × [1 + V3_AGE ×(AGE − 76)]×EXP( ω V2/F).

^*RSE is given on the variance scale

^$RSE of the covariance estimate.