Table 1.

Prior distributions for θ and Ω as derived from [34]

Parameter, units	Description	Reported			Used in WinBUGS
		$\overline{\mathit{\mu }}$	% SE	95 % CI	ln 95 % CI	Log $\overline{\mathit{\mu }}$	Σ for ln $\overline{\mathit{\mu }}$ a	Σ−1 for ln $\overline{\mathit{\mu }}$
Fixed effects
CL, L/h 70 kg−1	Total clearance	42.1	4.4	(38.7–45.8)	(3.7–3.8)	3.7	0.00185	542
Q, L/h 70 kg−1	Distribution clearance	78.3	14.4	(50.7–98.4)	(3.9–4.6)	4.3	0.02862	34.9
V1, L 70 kg−1	Volume of distribution of central compartment	56.3	8.7	(44.5–67.4)	(3.8–4.2)	4.0	0.01122	89.2
V2, L 70 kg−1	Volume of distribution of peripheral compartment	69	8.2	(57.5–80.3)	(4.1–4.4)	4.2	0.00726	138
TE50, weeks	Age at which clearance is 50 % of adult value	44.5	6.9	(36.8–50.3)	(3.6–3.9)	3.8	0.00636	157
Hill	Slope of clearance maturation	2.56	17.6	(1.65–3.78)	(0.5–1.3)	0.9	0.04472	22.4

Parameter, units	Description	Reported	Used in WinBUGS
		% CV	Ωb0	Ω−10
Between subject variability (diagonal elements)
CL	Variability for CL	30.9	0.091	11.0
Q	Variability for Q	37	0.13	7.79
V1	Variability for V1	61.3	0.32	3.13
V2	Variability for V2	47	0.20	5.01
			ρc	30

For Σ, Σ⁻¹, Ω_0, and Ω⁻¹₀ only diagonal elements are provided (the off-diagonal elements are zero)

^aCalculated based on (97.5th–2.5th)/2/1.96, where 2.5th and 97.5th are 95 % confidence intervals (on a log scale) from bootstrap

^bCalculated based on ln((%CV/100)^2 + 1)

^cThe value of ρ was determined empirically for the variance–covariance matrix by simulating from the Wishart distribution in MATLAB (Version 6.5, The MathWorks, Natick, MA) to ensure 25 % of variability in Ω₀ parameters. The standard errors for %CV were not reported in the original article