The optimal group size using inverse binomial group testing considering misclassification

DOI10.1080/03610926.2014.923461zbMath1397.62478OpenAlexW2414544982MaRDI QIDQ2816441

Wenjun Xiong

Publication date: 22 August 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2014.923461

zbMATH Keywords

Fisher informationnegative binomial distributionmeasurement errorgroup testingmisclassificationinverse samplinggroup size

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Statistical aspects of information-theoretic topics (62B10)

Related Items (1)

Bias correction of estimated proportions using inverse binomial group testing

Cites Work

• Improved estimation of proportions using inverse binomial group testing
• Estimating disease prevalence using inverse binomial pooled testing
• Informative Dorfman Screening
• Bayesian inference for disease prevalence using negative binomial group testing
• Optimality of group testing in the presence of misclassification
• Estimating ordered binomial proportions with the use of group testing
• On the informativeness and accuracy of pooled testing in estimating prevalence of a rare disease: Application to HIV screening

This page was built for publication: The optimal group size using inverse binomial group testing considering misclassification