Emir U • 6/18/2023

Blocking, covariate adjustment and optimal experiment design

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This technical article advocates for advanced experimental design methods like blocking, covariate adjustment, and D-optimal design to increase power and reduce sample sizes in online A/B testing. It includes a Python implementation from first principles and discusses real-world applications for data scientists working with constrained resources.

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#Python #Statistical Power #Experimental Design
Blocking, covariate adjustment and optimal experiment design

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