Bias correction of estimated proportions using inverse binomial group testing

DOI10.1111/anzs.12255zbMath1420.62040OpenAlexW2934783065MaRDI QIDQ5234444

Graham Hepworth

Publication date: 26 September 2019

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11343/285541

zbMATH Keywords

negative binomial distributionestimation of proportionsbias correctioninverse samplingpooled testinggroup testing design

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05) Factorial statistical designs (62K15)

Cites Work

• Improved estimation of proportions using inverse binomial group testing
• Bias correction in estimating proportions by pooled testing
• Confidence intervals for the difference of two proportions estimated from pooled samples
• Estimating disease prevalence using inverse binomial pooled testing
• The optimal group size using inverse binomial group testing considering misclassification
• A Two-Stage Adaptive Group-Testing Procedure for Estimating Small Proportions
• Exact Confidence Intervals for Proportions Estimated by Group Testing
• Sequentially Deciding between Two Experiments for Estimating a Common Success Probability
• Random walk designs for selecting pool sizes in group testing estimation with small samples
• Sequential estimation in the group testing problem
• Bias reduction of maximum likelihood estimates
• Group Testing for Sensitive Characteristics: Extension to Higher Prevalence Levels
• Screening

This page was built for publication: Bias correction of estimated proportions using inverse binomial group testing