Comparison of group testing algorithms for case identification in the presence of test error
Comparison of group testing algorithms for case identification in the presence of test error
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DOI：
10.1111/j.1541-0420.2007.00817.x
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发表时间：
2007-12-01
期刊：
影响因子：
1.9
通讯作者：
Pilcher, Christopher D.
中科院分区：
文献类型：
--
作者：
Kim, Hae-Young;Hudgens, Michael G.;Pilcher, Christopher D.
我们推导和比较的操作特性的分层和基于方阵的测试算法的情况下，存在测试错误的识别。所研究的操作特性包括效率（即，每个样本的预期测试次数）和错误率（即，灵敏度、特异性、阳性和阴性预测值、每个家族的错误率和每个比较的错误率）。该方法是通过比较不同的池算法检测最近感染艾滋病毒的个人在北卡罗来纳州和马拉维。
We derive and compare the operating characteristics of hierarchical and square array-based testing algorithms for case identification in the presence of testing error. The operating characteristics investigated include efficiency (i.e., expected number of tests per specimen) and error rates (i.e., sensitivity, specificity, positive and negative predictive values, per-family error rate, and per-comparison error rate). The methodology is illustrated by comparing different pooling algorithms for the detection of individuals recently infected with HIV in North Carolina and Malawi.