Sentence examples for base and final models from inspiring English sources

The base and final models were fitted to the replicate data sets.

Sensitivity analyses confirmed the robustness of the base and final models.

Visual predictive checks are shown in Figure 4 for base and final models.

The population PK parameters obtained with the base and final models are presented in Table 4 (Supplementary Models 1-3).

The condition numbers of the base and final models were 22.2 and 32.5, respectively, indicative of each model's stability.

Selection of base and final models was guided by the minimum objective function value, Akaike Information Criterion, visual inspection of diagnostic plots, and the precision of parameter estimates.

The base and final model were evaluated by examining standard diagnostic plots of conditional weighted residuals and parameter distributions 14, and by visual predictive checks (VPC) against the index dataset.

Parameter estimates from the base and final model are summarized in Table 2. Apparent oral clearance (CL/F) and apparent volume of distribution (V/F), where F is the bioavailable fraction, were estimated to be 25 l/h and 109 l with 39 and 50% IIV (interindividual variability), respectively.

The population pharmacokinetic parameters obtained with the base and final model are presented in Table 4.> -wrap-foot> > ∆ OFV delta Objective Function Value) >3.84 (P < 0.05) and > 6.64 (P < 0.01, chi-square test), Mean Value = the percentage deviation compared to the reference group.

The relationship between random effect of CL (ETA1) and serum albumin concentrations in the base model and final model are shown in Fig.  4b and c, respectively, where corrections are evident in the final model for the variability due to baseline albumin concentration.

Scatter plots comparing the random effect of V1 (ETand and body weight in the base model (Fig.  3c) and final model (Fig.  3d) are also illustrated.