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