Bayesian analysis of misclassified binomial data: double-sampling and the zero-numerator problem

DOI10.1080/03610918.2020.1855448OpenAlexW3112565331MaRDI QIDQ6171304

Paul H. Garthwaite, Noriah M. Al-Kandari

Publication date: 18 July 2023

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2020.1855448

zbMATH Keywords

validationsub-samplingmisclassificationdouble samplinginformative priors

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Confidence interval construction for disease prevalence based on partial validation series
• Likelihood-based confidence intervals for the risk ratio using double sampling with over-reported binary data
• Interval estimation for a binomial proportion. (With comments and a rejoinder).
• Bayesian Inference of Odds Ratios in Misclassified Binary Data with a Validation Substudy
• A Simple Bayesian Analysis of Misclassified Binary Data with a Validation Substudy
• The Prevalence of Malaria in Garki, Nigeria: Double Sampling with a Fallible Expert
• On the Use of Double Sampling Schemes in Analyzing Categorical Data with Misclassification Errors
• Birth Defects Registered by Double Sampling: A Bayesian Approach Incorporating Covariates and Model Uncertainty
• Bayesian Small-Sample Estimation of Misclassified Multinomial Data
• Analysis of all-zero binomial outcomes with borderline and equilibrium priors
• Misclassification in 2 X 2 Tables
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