Skip to contents

psychopdaROC Rare Disease Data

Source: R/data_psychopdaROC_docs.R
psychopdaROC_rare.Rd

Dataset with 300 patients and very low disease prevalence (5%), representing rare disease screening scenarios where prevalence affects predictive values.

Usage

psychopdaROC_rare

Format

A data frame with 300 rows and 3 variables:

patient_id

Character: Patient identifier (PT001-PT300)

rare_disease

Factor: "Disease" or "No_Disease" (5%/95% prevalence)

biomarker

Numeric: Biomarker value (mean: 80 for disease, 45 for no disease)

Source

Generated test data for ClinicoPath package

Details

Low prevalence (5%) with good biomarker discrimination. Demonstrates impact of prevalence on positive and negative predictive values even with good sensitivity and specificity.

Examples

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