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psychopdaROC Multi-Biomarker Data

Source: R/data_psychopdaROC_docs.R
psychopdaROC_multibiomarker.Rd

Multiple biomarker comparison dataset with 220 patients featuring three individual markers and a combined score for ROC analysis and marker comparison.

Usage

psychopdaROC_multibiomarker

Format

A data frame with 220 rows and 6 variables:

patient_id

Character: Patient identifier (PT001-PT220)

diagnosis

Factor: "Positive" or "Negative" (35%/65% prevalence)

marker1

Numeric: First biomarker (mean: 100 for positive, 70 for negative)

marker2

Numeric: Second biomarker (mean: 85 for positive, 55 for negative)

marker3

Numeric: Third biomarker (mean: 90 for positive, 65 for negative)

combined_score

Numeric: Average of three markers

Source

Generated test data for ClinicoPath package

Details

Designed for comparing individual biomarker performance and evaluating combined marker strategies. The combined score typically shows improved discrimination compared to individual markers.

Examples

data(psychopdaROC_multibiomarker)
psychopdaROC(data = psychopdaROC_multibiomarker,
             dependentVars = c("marker1", "marker2", "marker3", "combined_score"),
             classVar = "diagnosis", positiveClass = "Positive",
             clinicalMode = "comprehensive")
#> Error in psychopdaROC(data = psychopdaROC_multibiomarker, dependentVars = c("marker1",     "marker2", "marker3", "combined_score"), classVar = "diagnosis",     positiveClass = "Positive", clinicalMode = "comprehensive"): argument "refVar" is missing, with no default