Table 2.

Final model parameter estimates, 90% confidence interval of the parameter estimate derived from a nonparametric bootstrap analysis (n = 1000, unsuccessful = 8)

Parameter, units	Estimate	RSE (%)	Shrinkage (%)	Bootstrap median	Bootstrap 90% confidence interval
Fixed effects, θ
${\theta }_{V_1}$, l	27.9	17.9	–	28.5	20.8 to 37.8
${\theta }_{\text{beta},V_1}$ (power function)	− 2.87	21.4	–	− 2.84	− 4.06 to − 1.80
${\theta }_{{\text{Cl}}_{\text{CRRT}}}$, l/h	15.1	10.1	–	15.0	12.3 to 17.8
${\theta }_Q$, l/h	21.1	16.4	–	21.1	13.1 to 26.9
${\theta }_{V_2}$, l	33.7	28.1	–	34.6	20.0 to 78.0
Inter-individual variability, ${\omega }_P^2$
${\omega }_{V_1}^2$, %CV	53.1	23.0	8.1	47.6	28.3 to 47.6
${\omega }_{\text{Cl}}^2$, %CV	43.7	12.5	1.1	42.0	31.0 to 52.2
${\omega }_Q^2$, %CV	0 fixed	–	–	–	–
${\omega }_{V_2}^2$, %CV	85.6	25.5	30.1	82.9	0.10 to 138
Residual error model, σ2
σadd, mg/l	0.881	28.4	–	0.874	0.208 to 1.50
${\sigma }_{\text{prop}}^2$, %CV	24.1	10.5	–	23.5	18.3 to 28.6

RSE denotes residual standard error; %CV = sqrt(exp(IIV² − 1)·100% and IIV denoted inter-individual variability (variance)