biostats (version 1.1.1)

clinical_data: Simulate Simple Clinical Trial Data

Description

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
)

Value

Dataframe with columns: participant_id, visit, sex, treatment, age, weight, biomarker, and response in long format.

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.

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)