A population‐averaged approach to diagnostic test meta‐analysis

DOI10.1002/bimj.201700187zbMath1412.62174OpenAlexW2899445009WikidataQ58101049 ScholiaQ58101049MaRDI QIDQ4626714

Gul Inan, Haitao Chu, John S. Preisser, James M. Powers

Publication date: 28 February 2019

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201700187

zbMATH Keywords

marginalizationmeta-analysisdiagnostic accuracypopulation-averaged model

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• SAS
• PROC NLMIXED
• SAS/STAT

Cites Work

• A note on marginalization of regression parameters from mixed models of binary outcomes
• A Covariance Estimator for GEE with Improved Small‐Sample Properties
• Small-Sample Adjustments for Wald-Type Tests Using Sandwich Estimators
• A unification of models for meta-analysis of diagnostic accuracy studies
• On the application of extended quasi-likelihood to the clustered data case
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• A unification of models for meta‐analysis of diagnostic accuracy studies without a gold standard
• A Note on the Efficiency of Sandwich Covariance Matrix Estimation
• Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data
• Bayesian Meta‐Analysis of the Accuracy of a Test for Tuberculous Pleuritis in the Absence of a Gold Standard Reference
• A comparison of methods for simulating correlated binary variables with specified marginal means and correlations
• A Comparison of Two Bias‐Corrected Covariance Estimators for Generalized Estimating Equations
• Letter to the editor

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