Creates a simple simulated clinical trial dataset with participant demographics, multiple visits, treatment groups with different effects, numerical and categorical variables, as well as optional missing data and dropout rates.
Usage
clinical_data(
n = 100,
visits = 3,
arms = c("Placebo", "Treatment"),
dropout = 0,
missing = 0
)Arguments
- n
Integer indicating the number (1-999) of participants. Default: 100.
- visits
Integer indicating the number of visits including baseline. Default: 3.
- arms
Character vector of treatment arm names. Default: c("Placebo", "Treatment").
- dropout
Numeric parameter indicating the proportion (0-1) of participants. who dropout. Default: 0.
- missing
Numeric parameter indicating the proportion (0-1) of missing values to be introduced across numeric variables with fixed proportions (biomarker = 15%, weight = 25%, response = 60%). Default: 0.
Value
Dataframe with columns: participant_id, visit, sex, treatment, age, weight, biomarker, and response in long format.
Examples
# Basic dataset
clinical_df <- clinical_data()
# Multiple treatment arms with dropout rate and missing data
clinical_df <- clinical_data(arms = c('Placebo', 'A', 'B'), missing = 0.05, dropout = 0.10)