Bayesian estimation for diagnostic testing of biosecurity risk material in the absence of a gold standard when test data are incomplete

DOI10.1007/S13253-015-0214-5zbMath1323.62106OpenAlexW2178143764MaRDI QIDQ887976

Stuart Andrew Jones, Sandra Jane Clarke

Publication date: 4 November 2015

Published in: Journal of Agricultural, Biological, and Environmental Statistics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/11343/283242

zbMATH Keywords

sensitivityspecificity\textit{Puccinia psidii}biosecuritydisease prevalenceplant pathogen

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Bayesian inference (62F15)

Cites Work

• Unnamed Item
• Bayesian sample size determination for binary regression with a misclassified covariate and no gold standard
• Prior specification in Bayesian statistics: three cautionary tales
• Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests
• Correlation-Adjusted Estimation of Sensitivity and Specificity of Two Diagnostic Tests
• Three-Point Approximations for Continuous Random Variables

This page was built for publication: Bayesian estimation for diagnostic testing of biosecurity risk material in the absence of a gold standard when test data are incomplete