Search Results for author: Ethan B. Prihar

Found 1 papers, 0 papers with code

Using Auxiliary Data to Boost Precision in the Analysis of A/B Tests on an Online Educational Platform: New Data and New Results

no code implementations9 Jun 2023 Adam C. Sales, Ethan B. Prihar, Johann A. Gagnon-Bartsch, Neil T. Heffernan

With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples.

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