Multistep estimators of the between-study covariance matrix under the multivariate random-effects model for meta-analysis
type: Item
instance of: scholarly article
title: Multistep estimators of the between-study covariance matrix under the multivariate random-effects model for meta-analysis
zbMATH Open document ID: 1548.62344
author: Dan Jackson
author: Wolfgang Viechtbauer
author: Robbie C. M. van Aert
published in: Statistics in Medicine
publication date: 2024-10-31T00:00:00Z
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 7936497
zbMATH Keywords: heterogeneity
zbMATH Keywords: iterative methods
zbMATH Keywords: meta-regression
zbMATH Keywords: method of moments
zbMATH Keywords: multivariate statistical models
MaRDI profile type: Publication
cites work: How does the DerSimonian and Laird procedure for random effects meta-analysis compare with its more efficient but harder to compute counterparts?
cites work: A Method of Moments Estimator for Random Effect Multivariate Meta‐Analysis
cites work: A matrix‐based method of moments for fitting the multivariate random effects model for meta‐analysis and meta‐regression
cites work: Consensus Values and Weighting Factors
cites work: When should meta‐analysis avoid making hidden normality assumptions?
cites work: Inference and missing data
cites work: Statistical Analysis of Financial Data in S-Plus
DOI: 10.1002/SIM.9985
description: scientific article; zbMATH DE number 7936497