Table II.
Summary of Plots (Generated via R scripts) Automatically Provided for One or Multiple Models by SADAPT-TRAN as pdf Files
| No. | File name | Description |
|---|---|---|
| 1 | ITER_Convergence_plots.pdf | Convergence plots for the objective function, population means, variances, and covariances for all iterations. |
| 2 | ITER_Convergence_plots_final.pdf | Same as (1) for iteration 31 (customizable) to the last iteration. |
| 3 | DV_vs_IPRED__or__PRED.pdf a | Observations vs. individual or population fits on linear–linear or on log–log scale for all dependent variables |
| 4 | Individual_Fit_Plots_Multiple_Models.pdf | Multi-panel plot for the individual curve fits and observations plotted vs. time. Plots are provided on linear and semi-logarithmic scale for the full time course and for the first 6 h (customizable). |
| 5 | Population_Fit_Plots_Multiple_Models.pdf | Same as (4) with population fits instead of individual fits. |
| 6 | Individual_Fit_Plots_Multiple_Models__DVID_top_bottom.pdf | Multi-panel plot for the individual curve fits and observations plotted vs. time: for each subject, all dependent variables are plotted from top to bottom on the same time scale. |
| 7 | HOC_Continuous_covariate_plots.pdf | Multi-panel scatterplot for parameter values plotted vs. continuous covariate values (one covariate at a time). |
| 8 | HOC_Categorical_covariate_plots.pdf | Multi-panel notched box plot for parameter values plotted vs. categorical covariate values (default: six categories). Continuous covariates are categorized by default into six groups. |
| 9 | WRES_plots.pdf a | Weighted residuals plotted vs. time or vs. the values of the respective dependent variable. For S-ADAPT version 1.57, these plots can be customized to contain the normalized prediction distribution errors (NPDE). |
| 10 | iWRES_plots.pdf a | Individual weighted residuals plotted vs. time or vs. the values of the respective dependent variable |
aIf covariates are present, this plot is provided also as a multi-panel figure with each level of a categorical or categorized covariate representing one panel. Additionally, this plot is provided as a single panel figure with different symbols for each level of a categorical or categorized covariate. No user input is required to generate these covariate-stratified plots