2 citations · 2 across the 2 of their papers we have counts for
2 papers
stat.ME2022★ 2 cited
Detecting Interference in A/B Testing with Increasing Allocation
Kevin Han, Shuangning Li, Jialiang Mao +1
In the past decade, the technology industry has adopted online randomized controlled experiments (a.k.a. A/B testing) to guide product development and make business decisions. In p…
stat.ME2022
Estimating Treatment Effects Using Observational Data and Experimental Data with Non-overlapping Support
Kevin Han
When estimating treatment effects, the golden standard is to conduct a randomized experiment and then contrast outcomes associated with the treatment group and the control group. H…