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Dataset with 170 patients across a disease severity spectrum (Mild, Moderate, Severe) collapsed into binary classification for ROC analysis.

Usage

psychopdaROC_spectrum

Format

A data frame with 170 rows and 4 variables:

patient_id

Character: Patient identifier (PT001-PT170)

severity

Factor: "Mild", "Moderate", or "Severe"

binary_status

Factor: "Negative" (Mild) or "Positive" (Moderate/Severe)

continuous_marker

Numeric: Marker increasing with severity (40/60/85)

Source

Generated test data for ClinicoPath package

Details

Represents continuous disease spectrum with graded marker values: Mild (mean 40), Moderate (mean 60), Severe (mean 85). Binary classification treats Mild as Negative, Moderate/Severe as Positive.

Examples

data(psychopdaROC_spectrum)
psychopdaROC(data = psychopdaROC_spectrum, dependentVars = "continuous_marker",
             classVar = "binary_status", positiveClass = "Positive")
#> Error in psychopdaROC(data = psychopdaROC_spectrum, dependentVars = "continuous_marker",     classVar = "binary_status", positiveClass = "Positive"): argument "refVar" is missing, with no default