A Bayesian superpopulation approach to inference for finite populations based on imperfect diagnostic outcomes
type: Item
instance of: scholarly article
title: A Bayesian superpopulation approach to inference for finite populations based on imperfect diagnostic outcomes
zbMATH Open document ID: 1347.62247
author: G. Jones
author: W. O. Johnson
publication date: 2016-10-13T00:00:00Z
Mathematics Subject Classification ID: 62P12
Mathematics Subject Classification ID: 62D05
zbMATH DE Number: 6638284
zbMATH Keywords: prevalence
zbMATH Keywords: sensitivity
zbMATH Keywords: specificity
zbMATH Keywords: sampling
describes a project that uses: WinBUGS
MaRDI profile type: Publication
full work available at URL: s13253-015-0239-9
OpenAlex ID: W2238376158
cites work: Q3576727
cites work: Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests
cites work: Q5580777
cites work: Q4326427
cites work: Correlation-Adjusted Estimation of Sensitivity and Specificity of Two Diagnostic Tests
cites work: Q4865933
cites work: Estimating the Error Rates of Diagnostic Tests
cites work: Q4272663
cites work: Prior Elicitation: Interactive Spreadsheet Graphics With Sliders Can Be Fun, and Informative
cites work: Identifiability of Models for Multiple Diagnostic Testing in the Absence of a Gold Standard
cites work: To Model or Not To Model? Competing Modes of Inference for Finite Population Sampling
DOI: 10.1007/S13253-015-0239-9
published in: Journal of Agricultural, Biological and Environmental Statistics
description: scientific article; zbMATH DE number 6638284