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.

Generation of all randomizations using circuits

Fabio Rapallo;Eva Riccomagno;
2023-01-01

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.
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Descrizione: Author Accepted Manuscript - This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s10463-022-00860-4 . Pesce, E., Rapallo, F., Riccomagno, E. et al. Generation of all randomizations using circuits. Ann Inst Stat Math 75, 683–704 (2023). https://doi.org/10.1007/s10463-022-00860-4
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1104435
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