Statistical modeling for practical pooled testing during the COVID-19 pandemic

DOI10.1214/22-STS857MaRDI QIDQ2143947

Saskia Comess, Claire Donnat, Hannah Wang, Susan P. Holmes

Publication date: 31 May 2022

Published in: Statistical Science (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2107.05619

zbMATH Keywords

heterogeneitycorrelationspooled testingCOVID-9

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Data science in a time of crisis: lessons from the pandemic

Cites Work

• Informative Dorfman Screening
• Two‐Dimensional Informative Array Testing
• On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening
• Informative group testing for multiplex assays
• Informative Retesting
• Estimation of the Proportion of Defective Units by Using Group Testing Under the Existence of a Threshold of Detection
• Bayesian Methods for Predicting Interacting Protein Pairs Using Domain Information
• Pooled Testing for HIV Screening: Capturing the Dilution Effect
• Group Testing Regression Models with Fixed and Random Effects

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