Advanced A/B Testing Framework for Product Features

Create a robust A/B testing methodology for evaluating new software features, including statistical significance calculations, sample size determination, and multi-variant testing capabilities. Develop a framework that accounts for novelty effects, handles potential sampling bias, and provides clear decision criteria for feature rollout. Include recommendations for controlling experiment-wide error rates and managing statistical power.