Bias, efficiency, and agreement for group-testing regression models

DOI10.1080/00949650701608990zbMath1161.62074OpenAlexW2086312444WikidataQ37347615 ScholiaQ37347615MaRDI QIDQ3615056

Joshua M. Tebbs, Christopher R. Bilder

Publication date: 17 March 2009

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2744319

zbMATH Keywords

prevalencepoolinggeneralized linear modelbinary datadiagnostic testunobserved dataKenyan HIV

Mathematics Subject Classification ID

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

Related Items (11)

A semi-local likelihood regression estimator of the proportion based on group testing data ⋮ groupTesting: an R package for group testing estimation ⋮ Estimating covariate-adjusted measures of diagnostic accuracy based on pooled biomarker assessments ⋮ Nonparametric estimation of distributions and diagnostic accuracy based on group‐tested results with differential misclassification ⋮ Group Testing Regression Analysis with Missing Data and Imperfect Tests ⋮ Nonparametric regression with homogeneous group testing data ⋮ Sequential estimation in the group testing problem ⋮ Determination of varying group sizes for pooling procedure ⋮ Regression models for group testing: identifiability and asymptotics ⋮ Local polynomial regression for pooled response data ⋮ Group Testing Regression Models with Fixed and Random Effects

Cites Work

• Dual group screening
• Screening with Cost-Effective Quality Control: Potential Applications to HIV and Drug Testing
• Regression Models for Disease Prevalence with Diagnostic Tests on Pools of Serum Samples
• On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening
• Group Testing for Sensitive Characteristics: Extension to Higher Prevalence Levels

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