Generation of all randomizations using circuits
Elena Pesce (),
Fabio Rapallo (),
Eva Riccomagno () and
Henry P. Wynn ()
Additional contact information
Elena Pesce: Swiss Re Institute, Swiss Re Management Ltd
Fabio Rapallo: Università di Genova
Eva Riccomagno: Università di Genova
Henry P. Wynn: London School of Economics
Annals of the Institute of Statistical Mathematics, 2023, vol. 75, issue 4, No 6, 683-704
Abstract:
Abstract After a rich history in medicine, randomized control trials (RCTs), both simple and complex, are in increasing use in other areas, such as web-based A/B testing and planning and design of decisions. A main objective of RCTs is to be able to measure parameters, and contrasts in particular, while guarding against biases from hidden confounders. After careful definitions of classical entities such as contrasts, an algebraic method based on circuits is introduced which gives a wide choice of randomization schemes.
Keywords: Algebraic statistics and combinatorics; A/B testing; Bias and confounders; Big data; Design of experiments (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:aistmt:v:75:y:2023:i:4:d:10.1007_s10463-022-00860-4
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DOI: 10.1007/s10463-022-00860-4
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