journal article Mar 13, 2012

Pooled‐testing procedures for screening high volume clinical specimens in heterogeneous populations

Statistics in Medicine Vol. 31 No. 27 pp. 3261-3268 · Wiley
Abstract
Pooled testing is a procedure commonly used to reduce the cost of screening a large number of individuals for infectious diseases. In its simplest form, pooled testing works by compositing a set of individual specimens (e.g., blood or urine) into a common pool. If the pool tests negative, all individuals within it are diagnosed as negative. If the pool tests positive, retesting is needed to decode the positive individuals from the negative individuals. Traditionally, pooled testing has assumed that each individual has the same probability of being positive. However, this assumption is often unrealistic, especially when known risk factors can be used to measure distinct probabilities of positivity for each individual. In this paper, we investigate new pooled‐testing algorithms that exploit the heterogeneity among individual probabilities and subsequently reduce the total number of tests needed, while maintaining accuracy levels similar to standard algorithms that do not account for heterogeneity. We apply these algorithms to data from the Infertility Prevention Project, a nationally implemented program supported by the Centers for Disease Control and Prevention. Copyright © 2012 John Wiley & Sons, Ltd.
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References
18
[2]
Blood testing Retrieved January 7 2012.http://www.redcrossblood.org/learn‐about‐blood/what‐happens‐donated‐blood/blood‐testing.
[4]
Gaydos C "Nucleic acid amplification tests for gonorrhea and chlamydia: practice and applications" Infectious Disease Clinics of North America (2005) 10.1016/j.idc.2005.03.006
[6]
White D "Mosquito surveillance and polymerase chain reaction detection of West Nile Virus, New York state" Emerging Infectious Diseases (2001) 10.3201/eid0704.017407
Cited By
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Revista da Sociedade Brasileira de...
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Details
Published
Mar 13, 2012
Vol/Issue
31(27)
Pages
3261-3268
License
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Funding
National Institutes of Health Award: R01 AI067373
Cite This Article
Christopher R. Bilder, Joshua M. Tebbs (2012). Pooled‐testing procedures for screening high volume clinical specimens in heterogeneous populations. Statistics in Medicine, 31(27), 3261-3268. https://doi.org/10.1002/sim.5334