Power Optimization Patterns
When to Use This Skill
- Optimizing sample size for target power
- Selecting design parameters (randomization ratio, event count)
- Trading off between competing objectives
- Performing sensitivity analysis
- Finding optimal regions across scenarios
Clinical Trial Optimization Framework
Problem Formulation
Components:
- Data Model D(θ): Parameterized by θ (treatment effects, rates, etc.)
- Analysis Model A(λ): Parameterized by λ (sample size, even
[Description truncada. Veja o README completo no GitHub.]