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Comprehensive testing scenarios designed to validate different aspects of time-dependent ROC analysis functionality using the TimeROC test datasets.

Usage

timeroc_test_scenarios

Format

A data frame with 10 observations and 4 variables:

Scenario

Character. Name of the testing scenario

Dataset

Character. Recommended dataset for this scenario

Expected_Result

Character. Expected outcome of the analysis

timepoints

Character. Recommended timepoints for testing

Source

Generated by create_timeroc_test_data.R

Details

This documentation provides systematic testing scenarios covering:

  • Basic time-dependent ROC functionality

  • Method comparison (incident vs cumulative vs static)

  • Bootstrap confidence interval validation

  • Optimal cutoff calculation testing

  • Multi-biomarker comparison workflows

  • Landmark analysis validation

  • Edge case and robustness testing

  • Competing risks analysis

  • Clinical interpretation accuracy

  • Publication-ready visualization quality

Each scenario includes the recommended dataset, expected results, and suggested timepoints for comprehensive testing.