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psychopdaROC Poor Discrimination Data

Source: R/data_psychopdaROC_docs.R
psychopdaROC_poor.Rd

Dataset with 150 patients showing no discrimination between case and control groups (AUC ~0.50), useful for testing handling of ineffective biomarkers.

Usage

psychopdaROC_poor

Format

A data frame with 150 rows and 3 variables:

patient_id

Character: Patient identifier (PT001-PT150)

status

Factor: "Case" or "Control" (50%/50% prevalence)

poor_marker

Numeric: Biomarker with no discriminatory value (mean 50, SD 15)

Source

Generated test data for ClinicoPath package

Details

Both cases and controls have identical distributions (normal, mean=50, SD=15). Tests proper handling and warning messages for biomarkers with no diagnostic value.

Examples

data(psychopdaROC_poor)
psychopdaROC(data = psychopdaROC_poor, dependentVars = "poor_marker",
             classVar = "status")
#> Error in psychopdaROC(data = psychopdaROC_poor, dependentVars = "poor_marker",     classVar = "status"): argument "positiveClass" is missing, with no default