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