A matrix‐based method of moments for fitting the multivariate random effects model for meta‐analysis and meta‐regression

DOI10.1002/bimj.201200152zbMath1441.62381OpenAlexW1910867164WikidataQ34582839 ScholiaQ34582839MaRDI QIDQ4917516

Richard D. Riley Riley, Dan Jackson, Ian R. White

Publication date: 30 April 2013

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

Full work available at URL: https://doi.org/10.1002/bimj.201200152

zbMATH Keywords

Kronecker productmethod of momentsmultivariate meta-analysismeta-regression

Mathematics Subject Classification ID

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

Related Items (5)

Improved confidence regions in meta-analysis of diagnostic test accuracy ⋮ Multivariate meta‐analysis with an increasing number of parameters ⋮ Unnamed Item ⋮ Multiple imputation for multilevel data with continuous and binary variables ⋮ Restricted likelihood representation for multivariate heterogeneous random effects models

Uses Software

• R
• Stata
• mvmeta
• mvmeta

Cites Work

• An alternative model for bivariate random-effects meta-analysis when the within-study correlations are unknown
• The vec-permutation matrix, the vec operator and Kronecker products: a review
• A Method of Moments Estimator for Random Effect Multivariate Meta‐Analysis

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