使用电路生成所有随机化。

IF 0.8 4区数学 Q3 STATISTICS & PROBABILITY

Annals of the Institute of Statistical Mathematics Pub Date : 2022-12-23 DOI:10.1007/s10463-022-00860-4

Elena Pesce, Fabio Rapallo, Eva Riccomagno, Henry P. Wynn

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引用次数: 0

摘要

在拥有丰富的医学历史之后，随机对照试验（RCT），无论是简单的还是复杂的，在其他领域的应用越来越多，例如基于网络的a/B测试以及决策的规划和设计。随机对照试验的一个主要目标是能够测量参数，特别是对比度，同时防止隐藏的混杂因素带来的偏差。在仔细定义了对比度等经典实体后，引入了一种基于电路的代数方法，该方法提供了广泛的随机化方案选择。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Generation of all randomizations using circuits

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Generation of all randomizations using circuits

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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来源期刊

Annals of the Institute of Statistical Mathematics 数学-统计学与概率论

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Annals of the Institute of Statistical Mathematics (AISM) aims to provide a forum for open communication among statisticians, and to contribute to the advancement of statistics as a science to enable humans to handle information in order to cope with uncertainties. It publishes high-quality papers that shed new light on the theoretical, computational and/or methodological aspects of statistical science. Emphasis is placed on (a) development of new methodologies motivated by real data, (b) development of unifying theories, and (c) analysis and improvement of existing methodologies and theories.