Avoid AB Testing Statistics Mistakes with Max LI

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About the speaker:
Max is a senior data scientist at Wish where he focuses on experimentation (A/B testing) and machine learning. He has been improving the A/B testing platform at Wish on various fronts, including infrastructure, statistical testing, usability, etc. His passion is to empower data-driven decision-making through the rigorous use of data. Max earned his Ph.D. in Statistical Informatics from the University of Arizona.

Chapters
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0:00 - Introduction
1:05 - Agenda
1:25 - When is a non-inferiority test useful?
3:19 - Does regular A/B testing work?
5:34 - What is wrong? A statistical perspective
7:30 - Non-inferiority test
8:36 - How is a non-inferiority test better?
11:52 - Conclusion
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