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Treatment Toxicity Profile Test Scenarios Documentation

Source: R/data_toxicityprofile_docs.R
toxicityprofile_test_scenarios.Rd

Comprehensive testing scenarios designed to validate different aspects of enhanced treatment toxicity profile functionality using the toxicityprofile test datasets. Each scenario targets specific analysis capabilities, visualization types, and statistical methods for comprehensive validation.

Usage

toxicityprofile_test_scenarios

Format

A data frame with 12 observations and 5 variables:

Scenario

Character. Name of the testing scenario

Dataset

Character. Recommended dataset for this scenario

Analysis_Type

Character. Type of analysis being validated

Variables

Character. Key variables for the analysis

Expected_Result

Character. Expected outcome and validation criteria

Source

Generated by create_toxicityprofile_test_data.R

Details

This documentation provides systematic testing scenarios covering all major toxicity profile analysis capabilities and validation requirements:

Core Analysis Types Tested:

  • Basic Toxicity Profiling: Frequency distributions and grade analysis

  • Treatment Comparisons: Statistical testing and risk assessment

  • High-Grade Event Analysis: Focus on serious adverse events (Grade ≥3)

  • System Organ Class Analysis: Regulatory reporting by organ system

  • Time-to-Event Analysis: Cumulative incidence and timing patterns

  • Dose-Response Analysis: Dose-dependent toxicity relationships

  • Immunotherapy-Specific: Immune-related adverse event patterns

  • Pediatric Safety: Age-appropriate toxicity profiling

  • Statistical Testing: Comprehensive validation of statistical methods

  • Confidence Intervals: Exact binomial and bootstrap methods

  • Edge Case Robustness: Small sample and extreme scenario testing

  • Visualization Testing: Multiple plot types and formatting options

Statistical Methods Validated:

  • Fisher's exact test for treatment comparisons

  • Chi-square test for grade distribution differences

  • Exact binomial confidence intervals for incidence rates

  • Risk ratio calculations with confidence intervals

  • Time-to-event analysis and cumulative incidence

  • Dose-response trend testing

Visualization Types Tested:

  • Stacked bar charts with grade distributions

  • Dot plots with confidence intervals

  • Heatmaps for comprehensive overviews

  • Time-to-event curves and cumulative incidence plots

  • System organ class summaries

Each scenario includes the recommended dataset, analysis type, key variables, and expected results for comprehensive validation of enhanced toxicity profile analysis capabilities.

See also

toxicityprofile_datasets, toxicityprofile