Skip to contents

psychopdaROC Time-Dependent Biomarker Data

Source: R/data_psychopdaROC_docs.R
psychopdaROC_timedep.Rd

Dataset with 140 patients featuring baseline and follow-up biomarker measurements for evaluating time-dependent diagnostic performance.

Usage

psychopdaROC_timedep

Format

A data frame with 140 rows and 5 variables:

patient_id

Character: Patient identifier (PT001-PT140)

outcome

Factor: "Event" or "No_Event" (32%/68% prevalence)

baseline_marker

Numeric: Baseline biomarker (mean: 70 for event, 50 for no event)

followup_marker

Numeric: Follow-up biomarker (increases for events, decreases for no events)

time_to_outcome

Numeric: Time to outcome in months (1-36)

Source

Generated test data for ClinicoPath package

Details

Follow-up marker changes from baseline: increases by ~15 for events, decreases by ~5 for no events. Enables ROC analysis with change scores or follow-up values.

Examples

data(psychopdaROC_timedep)
psychopdaROC(data = psychopdaROC_timedep,
             dependentVars = c("baseline_marker", "followup_marker"),
             classVar = "outcome", positiveClass = "Event")
#> Error in psychopdaROC(data = psychopdaROC_timedep, dependentVars = c("baseline_marker",     "followup_marker"), classVar = "outcome", positiveClass = "Event"): argument "refVar" is missing, with no default