Estimating the prevalence of two or more diseases using outcomes from multiplex group testing

DOI10.1002/BIMJ.202200270zbMATH Open1541.62327MaRDI QIDQ6572288

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

Publication date: 15 July 2024

Published in: Biometrical Journal (Search for Journal in Brave)

zbMATH Keywords

Bayesian estimationscreeningpooled testinglatent responsemultiplex assay

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Optimizing pooled testing for estimating the prevalence of multiple diseases
• D-optimality of Group Testing for Estimation of Correlated Rare Diseases with Misclassification
• Nonparametric Regression Analysis for Group Testing Data
• Semiparametric group testing regression models
• Optimality of group testing in the presence of misclassification
• Efficient estimation of the prevalence of multiple rare traits
• Bayesian regression for group testing data
• Optimal Group Testing Designs for Estimating Prevalence with Uncertain Testing Errors
• On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening
• Robust group testing for multiple traits with misclassification
• 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
• Discussion on: ``Is group testing ready for prime-time in disease identification?

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