{"id":19692819,"url":"https://github.com/domlei/interference-in-a-b-testing","last_synced_at":"2026-06-13T17:02:15.541Z","repository":{"id":250011133,"uuid":"833241227","full_name":"domlei/Interference-in-A-B-Testing","owner":"domlei","description":"This project replicates part of the study by Han et al. 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Ability to collect various data and related usage metrics from customers makes this \nexperimentation design useful in solving if new implementations or already existing factors are causing the \noutcome. A possible and disrupting occurrence in this scenario is interference. Han et al. (2022) give a \nmotivating example of an A/B test implemented by LinkedIn in which interference is a likely cause. To solve \nthis issue, they propose a set of algorithms to test for interference in various cases. In this paper algorithms 1-3 \nfrom the study are replicated and compared to the original paper. Lastly, some considerations for implementing \nthe algorithms are given.\n\n# General Info\nReplication paper containing the literature review and code of the project in R - \u003c/br\u003e\n\"Project Paper - Interference testing with increasing allocation.pdf\"\n\nR code based on the interpretation of the first 3 algorithms described in the paper \u003c/br\u003e\n\"Algorithm code 1-3.R\"\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdomlei%2Finterference-in-a-b-testing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdomlei%2Finterference-in-a-b-testing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdomlei%2Finterference-in-a-b-testing/lists"}