A sequential decoding procedure for pooled quantitative measure

IF 0.6 4区数学 Q4 STATISTICS & PROBABILITY

Sequential Analysis-Design Methods and Applications Pub Date : 2022-01-02 DOI:10.1080/07474946.2022.2043049

Yunning Zhong, Ping Xu, Siming Zhong, Juan Ding

引用次数: 0

Abstract

Abstract Group testing (pooling) is a commonly used method while screening for rare diseases, especially for large-scale screening. In recent years there has been growing interest in direct analysis of quantitative measures to take advantage of full information. In this study, we develop a pooling procedure for identification of infected specimens and the measurement is quantitative. Exclusive simulations are conducted to investigate the performance of our procedure, “Qpool,” under a variety of scenarios. We also demonstrate its application in routine monitoring of Listeria monocytogenes.

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集合定量测量的顺序解码程序

摘要群体检测是罕见病筛查中常用的一种方法，尤其是在大规模筛查中。近年来，人们对利用充分信息对定量措施进行直接分析越来越感兴趣。在这项研究中，我们开发了一种用于识别感染标本的汇集程序，并且测量是定量的。我们进行了独家模拟，以调查我们的程序“Qpool”在各种场景下的性能。我们还展示了它在单核细胞增多性李斯特菌常规监测中的应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sequential Analysis-Design Methods and Applications STATISTICS & PROBABILITY-

CiteScore

1.40

自引率

12.50%

发文量

期刊介绍： The purpose of Sequential Analysis is to contribute to theoretical and applied aspects of sequential methodologies in all areas of statistical science. Published papers highlight the development of new and important sequential approaches. Interdisciplinary articles that emphasize the methodology of practical value to applied researchers and statistical consultants are highly encouraged. Papers that cover contemporary areas of applications including animal abundance, bioequivalence, communication science, computer simulations, data mining, directional data, disease mapping, environmental sampling, genome, imaging, microarrays, networking, parallel processing, pest management, sonar detection, spatial statistics, tracking, and engineering are deemed especially important. Of particular value are expository review articles that critically synthesize broad-based statistical issues. Papers on case-studies are also considered. All papers are refereed.