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Small dataset with only 30 patients for testing performance with limited sample sizes and assessing stability of cutpoint estimates.

Usage

psychopdaROC_small

Format

A data frame with 30 rows and 3 variables:

patient_id

Character: Patient identifier (PT001-PT030)

class

Factor: "Positive" or "Negative" (50%/50% prevalence)

marker

Numeric: Biomarker value (mean: 65 for positive, 45 for negative)

Source

Generated test data for ClinicoPath package

Details

Limited sample size (n=30) tests stability of ROC analysis and cutpoint determination with small datasets. Wide confidence intervals expected.

Examples

data(psychopdaROC_small)
psychopdaROC(data = psychopdaROC_small, dependentVars = "marker",
             classVar = "class")
#> Error in psychopdaROC(data = psychopdaROC_small, dependentVars = "marker",     classVar = "class"): argument "positiveClass" is missing, with no default