Comprehensive A/B Testing Statistical Inference Framework

Design a statistically rigorous A/B testing methodology that accounts for multiple hypothesis testing, sequential sampling, and adaptive allocation strategies. Develop a modular framework that can handle complex experimental designs, with built-in corrections for type I and type II errors, and automated power analysis. Include robust visualization and reporting mechanisms that communicate statistical significance with clear, interpretable metrics.