Package: bbssr 1.0.2

Introduction | Validation of BinaryPower Function | Test Parameters | Quick Verification Example | 1. Pearson Chi-squared Test | 2. Fisher Exact Test | 3. Fisher Mid-p Test | 4. Z-pooled Exact Unconditional Test | 5. Boschloo Exact Unconditional Test | Performance Comparison | Enhanced Computational Speed Benchmarks | BinaryPower Performance Comparison | Performance Visualization | Speed Improvement Summary | Summary of Validation Results | Accuracy Validation | Performance Improvements | Key Advantages of bbssr | Conclusion | Session Information

Introduction | What is Blinded Sample Size Re-estimation? | Key Advantages of BSSR | Getting Started | Basic Usage | Power Calculation for Traditional Design | Sample Size Calculation | Blinded Sample Size Re-estimation (BSSR) | Basic BSSR Example | Comparing BSSR Design Rules | Understanding the Results | Design Rule Comparison | Key Observations | Statistical Tests Available | Test Comparison Example | Practical Considerations | When to Use BSSR | Design Choice Guidelines | Next Steps

Introduction | Theoretical Foundation of BSSR | The Problem with Fixed Sample Sizes | The BSSR Solution | Mathematical Framework | Exact Statistical Tests | 1. Pearson Chi-squared Test ('Chisq') | 2. Fisher Exact Test ('Fisher') | 3. Fisher Mid-p Test ('Fisher-midP') | 4. Z-pooled Exact Unconditional Test ('Z-pool') | 5. Boschloo Exact Unconditional Test ('Boschloo') | Mathematical Relationships | Test Comparison | BSSR Methodology | Design Approaches | 1. Restricted Design (restricted = TRUE) | 2. Unrestricted Design (restricted = FALSE) | 3. Weighted Design (weighted = TRUE) | BSSR Implementation Example | Power Calculations | Traditional vs BSSR Power | Practical Implementation Guidelines | Choosing the Right Test | Choosing the BSSR Approach | Sample Size Planning | Regulatory Considerations | Type I Error Control | Documentation Requirements | Advanced Topics | Multiple Allocation Ratios | Sensitivity Analysis | Conclusion