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Cardiac biomarker dataset with 180 patients for ROC analysis of MI diagnosis. Features three key cardiac markers: troponin, creatinine, and BNP with realistic clinical distributions.

Usage

psychopdaROC_cardiac

Format

A data frame with 180 rows and 5 variables:

patient_id

Character: Patient identifier (PT001-PT180)

mi_status

Factor: "MI" or "No_MI" (25%/75% prevalence)

troponin

Numeric: Troponin level (ng/mL), mean: 2.5 for MI, 0.3 for No_MI

creatinine

Numeric: Creatinine level (mg/dL), mean: 1.3 for MI, 0.9 for No_MI

bnp

Numeric: BNP level (pg/mL), mean: 850 for MI, 200 for No_MI

Source

Generated test data for ClinicoPath package

Details

Realistic cardiac biomarker distributions for evaluating diagnostic performance in acute MI. Troponin shows strong discrimination, while creatinine and BNP provide complementary diagnostic information.

Examples

data(psychopdaROC_cardiac)
psychopdaROC(data = psychopdaROC_cardiac,
             dependentVars = c("troponin", "creatinine", "bnp"),
             classVar = "mi_status", positiveClass = "MI",
             method = "maximize_metric", metric = "youden")
#> Error in psychopdaROC(data = psychopdaROC_cardiac, dependentVars = c("troponin",     "creatinine", "bnp"), classVar = "mi_status", positiveClass = "MI",     method = "maximize_metric", metric = "youden"): argument "refVar" is missing, with no default