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Stanford Seminar: Peeking at A/B Tests - Why It Matters and What to Do About It
Scalable Continuous Monitoring for Large scale A/B Experimentation
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Last Updated: October 27, 2026
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Summary
Part 7 of 8. Presented by data scientist Olivia Liao. In this FEC session, Merritt Aho, Optimization Director, demonstrates how to access and use a Stop waiting for p-values to tell you the "truth." In this deep dive, we explore Bayesian A/B Statsig's Head of Data, Tim Chan shares a set of cutting edge best practices you should apply in your pursuit of product ... Ramesh Johari Stanford University I'll describe a novel statistical 2025 - Day 1 - Data Science & Algos] Chenyu Qiu shares insights from building
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