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. 2022 Nov 25;13:1037239. doi: 10.3389/fphar.2022.1037239

TABLE 4.

PPK parameter estimates from the final model and bootstrap validation.

Description Parameter Base model Final model Bootstrap a Relative error (%) b
Estimate RSE (%) Estimate RSE (%) Median 95% CI
CL/F (L/h) θCL 0.205 7.4 0.214 7.4 0.207 0.136–0.245 −3.3
V/F (L) θV 3.43 22.7 3.63 23.8 3.57 1.07–6.14 −1.7
Age on CL/F θAge 0.357 9.6 0.349 0.243–0.423 −2.2
ABCB1 rs3789243 AG on CL/F θABCB1 AG 0.953 4.7 0.955 0.872–1.06 0.2
ABCB1 rs3789243 GG on CL/F θABCB1 GG 1.08 5.5 1.08 0.967–1.22 0
IIV on CL/F (%) ωCL 0.302 10.9 0.169 13.0 0.167 0.106–0.42 −1.2
η-shrinkage (%) ηshrinkage 5.8 12.1
RV (mg/L) σadditive 13.7 6.5 11.9 5.9 11.8 11.3–15.0 −0.8
ε-shrinkage (%) εshrinkage 12.9 11.1

CL/F, clearance; V/F, distribution volume; IIV, inter-individual variability; RV, residual variability; θ, factor describing the relationship between the covariate and the clearance; ω, coefficient variation of inter-individual variability; σ, coefficient variation of residual variability; RSE(%), relative standard error (standard error/estimate × 100%); 95%CI, 95% confidence interval.

a

995 of 1,000 bootstrap runs were successful and used to calculate the point estimates and 95%CI.

b

Relative error % = (Bootstrap median − estimate in final model)/estimate in final model × 100%.