Informative group testing for multiplex assays

DOI10.1111/BIOM.12988zbMath1436.62515OpenAlexW2898326643WikidataQ57790073 ScholiaQ57790073MaRDI QIDQ5214472

Joshua M. Tebbs, Christopher R. Bilder, Christopher S. McMahan

Publication date: 7 February 2020

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://digitalcommons.unl.edu/statisticsfacpub/121

zbMATH Keywords

sensitivitycorrelated binary dataspecificitypooled testinglatent responsecase identification

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Statistical aspects of big data and data science (62R07)

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Statistical modeling for practical pooled testing during the COVID-19 pandemic ⋮ Nonparametric estimation of distributions and diagnostic accuracy based on group‐tested results with differential misclassification ⋮ Optimizing pooled testing for estimating the prevalence of multiple diseases

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