Bayesian hierarchical models incorporating study-level covariates for multivariate meta-analysis of diagnostic tests without a gold standard with application to COVID-19

DOI10.1002/SIM.9902zbMATH Open1540.62195MaRDI QIDQ6560503

Haitao Chu, Zheng Wang, Demissie Alemayehu, Meng-Li Xiao, Thomas A. Murray, Li-Feng Lin

Publication date: 23 June 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

sensitivityspecificityBayesian hierarchical modelmeta-analysisdiagnostic testdouble negativesSARS-CoV-2 infection diagnosis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

• Title not available (Why is that?)
• A unification of models for meta-analysis of diagnostic accuracy studies
• Understanding predictive information criteria for Bayesian models
• A survey of Bayesian predictive methods for model assessment, selection and comparison
• Comparison of Bayesian predictive methods for model selection
• Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory
• Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests
• Testing the Independence of Two Diagnostic Tests
• Assessing the dependence of sensitivity and specificity on prevalence in meta-analysis
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• A unification of models for meta‐analysis of diagnostic accuracy studies without a gold standard
• Insights into latent class analysis of diagnostic test performance
• Bayesian Measures of Model Complexity and Fit
• Bayesian Meta‐Analysis of the Accuracy of a Test for Tuberculous Pleuritis in the Absence of a Gold Standard Reference
• Bayesian model selection in linear mixed models for longitudinal data
• A Bayesian Hierarchical Summary Receiver Operating Characteristic Model for Network Meta-Analysis of Diagnostic Tests
• The impact of covariance priors on arm-based Bayesian network meta-analyses with binary outcomes

This page was built for publication: Bayesian hierarchical models incorporating study-level covariates for multivariate meta-analysis of diagnostic tests without a gold standard with application to COVID-19

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6560503)