Example Replicate-Draws Dataset for Forest Plots of PK Test/Reference Comparisons

Long-format replicate draws of PK exposure metrics for a typical individual under six covariate scenarios, ready for df_forest() / plot_forest() with their default column names (metric, cov_name, cov_level, value). Built from data_sad_pkforest_sim with df_forest_preprocess(), which divides each metric by its value in the reference scenario within the same replicate to form a test/reference ratio, then stacks the absolute and ratio metrics to one row per metric per scenario per replicate.

Usage

data_sad_pkforest

Format

`data.frame` a data frame with 24000 rows and 9 columns:

ID: Scenario identifier (values: 1=reference, 2=fed, 3=50 kg, 4=60 kg, 5=80 kg, 6=90 kg)
SIM: Replicate identifier (1-500 per scenario)
WTBL: Scenario body weight (units: kg; 70 kg for the reference)
FOOD: Scenario food status (values: 0=fasted, 1=high-fat meal)
DOSE: Dose (units: mg; 200 mg once daily in every scenario)
metric: PK exposure metric name: absolute (CMAX, CMIN, AUC, CAVG) or test/reference ratio (CMAXRATIO, CMINRATIO, AUCRATIO, CAVGRATIO)
value: Numeric value of the metric for this (ID x SIM) replicate
cov_name: Covariate varied in the scenario (values: Reference, FOOD, WTBL)
cov_level: Covariate level label (values: Reference, Fed, 50 kg, 60 kg, 80 kg, 90 kg). The reference levels of the varied covariates are Fasted (FOOD) and 70 kg (WTBL); pass them to df_forest() as cov_level_ref = c(FOOD = "Fasted", WTBL = "70 kg") to draw the reference row in each covariate panel.

Source

simulated

Details

Each scenario is a typical individual (inter-individual variability zeroed) receiving 200 mg once daily to steady state, simulated with the internal pkmodel. Each of the 500 replicates runs every scenario on its own parameter set, drawn by parametric bootstrap from a multivariate normal on the model's log typical values and covariate coefficients with an assumed variance-covariance matrix (the structure of sampling from a model's covariance step). Exposure metrics are derived over the 24-hour dosing interval at steady state. See data-raw/data_sad_raw.R.

Attributes

Carries a "cov_level_ref" attribute, c(FOOD = "Fasted", WTBL = "70 kg"), giving each varied covariate's reference level label. Pass it to df_forest() as cov_level_ref to draw the reference row in every covariate panel.