EconPapers    
Economics at your fingertips  
 

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
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s10463-022-00860-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:aistmt:v:75:y:2023:i:4:d:10.1007_s10463-022-00860-4

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10463/PS2

DOI: 10.1007/s10463-022-00860-4

Access Statistics for this article

Annals of the Institute of Statistical Mathematics is currently edited by Tomoyuki Higuchi

More articles in Annals of the Institute of Statistical Mathematics from Springer, The Institute of Statistical Mathematics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:aistmt:v:75:y:2023:i:4:d:10.1007_s10463-022-00860-4