A fictitious dataset giving doses and pharmacometric samples for multiple subjects in an imaginary Phase * drug trial.
drugA data frame with 600 rows and 24 variables:
a comment flag, typically NA but 'C' for records that should be ignored
integer subject identifier
relative time (h)
sequence identifier to break ties when sorting
event type identifier, 0: pk sample, 1: dose
drug amount (mg)
plasma drug concentration (ng/mL)
subject identifier
nominal hour (h)
height (cm)
weight (kg)
sex, 0: female, 1: male
age (y)
dose group (mg)
prandial state, 0: fasted, 1: fed
smoker status, 0: non, 1: smoker
disease state, 0: no disease
normalized creatinine clearance (mL/min)
time since first dose (h)
time since most recent dose (h)
amount of most recent dose (mg)
missing dependent value, 0: not missing, 1: missing
predose flag, 0: record not predose, 1: record is predose
zero DV flag, 0, DV not zero, 1: DV is zero