psychopdaROC Test Data - Basic Diagnostic Test — psychopdaROC

Basic diagnostic test dataset with 200 patients for ROC analysis. Contains binary disease status and a continuous biomarker with moderate discrimination (AUC ~0.75-0.80).

Usage

psychopdaROC_test

Format

A data frame with 200 rows and 5 variables:

patient_id: Character: Patient identifier (PT001-PT200)
disease_status: Factor: "Disease" or "Healthy" (30%/70% prevalence)
biomarker: Numeric: Continuous biomarker value (mean: 75 for diseased, 50 for healthy)
age: Numeric: Patient age in years (mean 60, SD 12)
sex: Factor: "Male" or "Female"

Source

Generated test data for ClinicoPath package

Details

Biomarker values follow normal distributions with clear separation between disease groups, suitable for demonstrating basic ROC curve analysis and optimal cutpoint determination using Youden index or other metrics.

Examples

data(psychopdaROC_test)
psychopdaROC(data = psychopdaROC_test, dependentVars = "biomarker",
             classVar = "disease_status", positiveClass = "Disease")
#> Error in psychopdaROC(data = psychopdaROC_test, dependentVars = "biomarker",     classVar = "disease_status", positiveClass = "Disease"): argument "refVar" is missing, with no default