Table 2.
Estimates of population parameters for model building.
| Parameter | Estimate (% RSE) | |
|---|---|---|
| Model 1 | Model 2 | |
| CL (L/h) = Ɵ1 × (CrCL/80)Ɵ2 | – | – |
| Ɵ1 | 2.87 (3.92) | 2.86 (3.26) |
| Ɵ2 | 0 | 0.79 (10.6) |
| Vc (L) | 4.97 (7.93) | 5.2 (6.89) |
| Q (L/h) | 10.5 (11.2) | 10.9 (11.9) |
| Vp (L) | 4.73 (3.99) | 4.56 (3.07) |
| ΩCL | 39 (7.57) | 32 (7.46) |
| ΩVc | 59 (9.92) | 57 (9) |
| ΩQ | 60 (15.6) | 66 (15) |
| ΩVp | 15 (31.8) | 10 (71.8) |
| Correlation between CL and Vc | 0.71 (12.6) | 0.83 (5.81) |
| Proportional residual variance (%) | 12 (5.16) | 12 (4.9) |
| BIC | 4279.77 | 4211.26 |
Model 1: model without covariates; model 2: final model including covariates.
RSE Relative standard error, CL Clearance, Vc Central volume of distribution, Vp Peripheral volume of distribution, Q Intercompartmental clearance, CrCl Creatinine clearance (mL/min) according to the CKD-EPI formula, Ω Random effect variance for each parameter, BIC Bayesian information criteria.