power-optimization-patterns

What problem does it solve?

Optimizes clinical trial design by identifying optimal sample sizes, event counts, and parameter tradeoffs to achieve target power while conserving resources.

Core Features & Use Cases

• Power-focused optimization across multiple design scenarios to balance power, sample size, and costs.
• Trade-off analysis between sample size, event counts, and power across conservative, expected, and optimistic assumptions.
• Sensitivity analysis to assess robustness of the design under parameter uncertainty and constraint requirements.

Quick Start

Provide the target power and design constraints, and I will output the optimal sample size and event counts.