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Improved matrix pooling
Xiong, Wenjun1,2; Ding, Juan1,3; He, Yuanzhen4; Li, Qizhai2
AbstractPooled testing is useful to identify positive specimens for large-scale screening. Matrix pooling is one of the commonly used algorithms. In this work, we investigate the properties of matrix pooling and reveal that the efficiency of matrix pooling is related with the magnitude of overlapping among groups. Based on this property, we develop a new design to further improve the efficiency while taking into account of testing error. The efficiency, pooling sensitivity and specificity of this algorithm are explicitly derived and verified through plasmode simulation of detecting acute human immunodeficiency virus among patients who were suspected to have malaria in rural Ugandan. We show that the new design outperforms matrix pooling in efficiency while retain the pooling sensitivity and specificity.
KeywordMatrix pooling efficiency group testing sensitivity specificity
Funding ProjectNational Natural Science Foundation of China[11526061] ; National Natural Science Foundation of China[11501134] ; National Natural Science Foundation of China[11371353] ; Guangxi Natural Science Foundation[2015GXNSFBA139016] ; key project of Guangxi Normal University[2014ZD002] ; Program on the High Level Innovation Team and Outstanding Scholars in Universities of Guangxi Province ; Special National Key Research and Development Plan[2016YFD0400206] ; Breakthrough Projects of Strategic Priority Program of the Chinese Academy of Sciences[XDB13040600]
WOS Research AreaHealth Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Mathematics
WOS SubjectHealth Care Sciences & Services ; Mathematical & Computational Biology ; Medical Informatics ; Statistics & Probability
WOS IDWOS:000454598800014
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Document Type期刊论文
Corresponding AuthorXiong, Wenjun
Affiliation1.Guangxi Normal Univ, Sch Math & Stat, Guilin, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
3.Vanderbilt Univ, Sch Med, Dept Med, Nashville, TN 37212 USA
4.Beijing Normal Univ, Sch Math Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Xiong, Wenjun,Ding, Juan,He, Yuanzhen,et al. Improved matrix pooling[J]. STATISTICAL METHODS IN MEDICAL RESEARCH,2019,28(1):211-222.
APA Xiong, Wenjun,Ding, Juan,He, Yuanzhen,&Li, Qizhai.(2019).Improved matrix pooling.STATISTICAL METHODS IN MEDICAL RESEARCH,28(1),211-222.
MLA Xiong, Wenjun,et al."Improved matrix pooling".STATISTICAL METHODS IN MEDICAL RESEARCH 28.1(2019):211-222.
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