Informative Retesting.

Informative Retesting.
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DOI:
10.1198/jasa.2010.ap09231
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发表时间:
2010-09-01
影响因子:
3.7
通讯作者:
Chen P
Chen P
中科院分区:
数学1区
文献类型:
--
作者:
Bilder CR;Tebbs JM;Chen P

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在对个人进行传染病或其他二元特征筛查,以及检测资源有限的情况下,群体检测可以提供实质性的好处。小组测试,即最初在小组(池)中测试受试者,已成功应用于血库筛查,公共卫生,药物发现,遗传学和许多其他领域的问题。在这些应用中,目标通常是使用初始组测试和随后的阳性组内个体的重新测试来识别每个个体为阳性或阴性。已经提出了许多群体检验鉴定程序,然而,绝大多数未能纳入被筛选的个体之间的异质性。在本文中,我们提出了一种新的方法来确定积极的个人时,协变量信息是每个。这种协变量信息用于构建如何在阳性组中实施重新测试;因此,我们称这种新方法为“信息性重新测试”。我们推导出封闭形式的表达式和实现算法的概率质量函数的测试需要解码阳性组的数量。这些翔实的复检程序说明了通过一些例子,并适用于衣原体和淋病检测在内布拉斯加州的不孕不育预防项目。总的来说,我们的工作表明,令人信服的证据表明,信息复检可以大大减少测试的数量,同时提供类似于既定的非信息复检程序的准确性。
In situations where individuals are screened for an infectious disease or other binary characteristic and where resources for testing are limited, group testing can offer substantial benefits. Group testing, where subjects are tested in groups (pools) initially, has been successfully applied to problems in blood bank screening, public health, drug discovery, genetics, and many other areas. In these applications, often the goal is to identify each individual as positive or negative using initial group tests and subsequent retests of individuals within positive groups. Many group testing identification procedures have been proposed; however, the vast majority of them fail to incorporate heterogeneity among the individuals being screened. In this paper, we present a new approach to identify positive individuals when covariate information is available on each. This covariate information is used to structure how retesting is implemented within positive groups; therefore, we call this new approach “informative retesting.” We derive closed-form expressions and implementation algorithms for the probability mass functions for the number of tests needed to decode positive groups. These informative retesting procedures are illustrated through a number of examples and are applied to chlamydia and gonorrhea testing in Nebraska for the Infertility Prevention Project. Overall, our work shows compelling evidence that informative retesting can dramatically decrease the number of tests while providing accuracy similar to established non-informative retesting procedures.
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