Optimizing pooled testing for estimating the prevalence of multiple diseases

DOI10.1007/s13253-022-00511-4OpenAlexW4290975633MaRDI QIDQ2102992

Kevin Lahmers, Md S. Warasi, Laura L. Hungerford

Publication date: 12 December 2022

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13253-022-00511-4

zbMATH Keywords

surveillancegroup testingscreeningexperimental designanimal testing

Mathematics Subject Classification ID

Applications of statistics to environmental and related topics (62P12)

Uses Software

• R
• shiny
• groupTesting

Cites Work

• Unnamed Item
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• Semiparametric group testing regression models
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• Efficient estimation of the prevalence of multiple rare traits
• Bayesian regression for group testing data
• Robustness of Group Testing in the Estimation of Proportions
• Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples
• Group testing regression model estimation when case identification is a goal
• Informative group testing for multiplex assays
• Hierarchical group testing for multiple infections
• Two‐Stage Hierarchical Group Testing for Multiple Infections with Application to the Infertility Prevention Project
• Bayesian Methods for Predicting Interacting Protein Pairs Using Domain Information
• Nonparametric estimation of distributions and diagnostic accuracy based on group‐tested results with differential misclassification

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