Simulated Epidemiological Dataset

A simulated dataset containing demographic, clinical, and outcome variables for 500 individuals. Designed for demonstrating table creation and diagnostic testing analysis.

Usage

epitabl

Format

A data frame with 500 rows and 19 variables:

id

Unique patient identifier

age

Age in years (Numeric)

sex

Biological sex (Female, Male)

bmi

Body Mass Index in kg/m² (Numeric, contains NAs)

smoking

Smoking status (Never, Former, Current)

exercise

Physical activity level (Low, Moderate, High)

education

Educational attainment (High School, Some College, College+)

income

Annual household income (<30k, 30-60k, 60k+)

disease

Disease status - primary outcome (No, Yes)

rapid_test

Result of rapid diagnostic test (Negative, Positive)

lab_confirmed

Laboratory confirmation - gold standard (No, Yes)

comorbidity_score

Score 0-5 based on medical history

outcome1

Count of primary care visits in past year

outcome2

Count of specialist visits in past year

outcome3

Count of emergency department visits in past year

hospitalized

Hospitalized in past year (No, Yes)

systolic_bp

Systolic blood pressure in mmHg

cholesterol

Total cholesterol in mg/dL

region

Geographic region (North, South, East, West)

Source

Simulated data for the SimtablR package.

Examples

data(epitabl)

# Basic description
tb(epitabl, sex, disease)
#>                 | Disease status (primary outcome) 
#>  Biological sex | No   Yes | Sum 
#> ----------------+----------+-----
#>          Female | 165  90  | 255 
#>            Male | 166  79  | 245 
#> ----------------+----------+-----
#>             Sum | 331  169 | 500