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Updated: May 25, 2026

Basics of Multivariate Analysis in Neuroimaging Data
Published on: July 24, 2010
A practical introduction to multivariate meta-analysis
Dimitris Mavridis1, Georgia Salanti
1Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
Abstract:
Multivariate meta-analysis is becoming increasingly popular and official routines or self-programmed functions have been included in many statistical software. In this article, we review the statistical methods and the related software for multivariate meta-analysis. Emphasis is placed on Bayesian methods using Markov chain Monte Carlo, and codes in WinBUGS are provided. The various model-fitting options are illustrated in two examples and specific guidance is provided on how to run a multivariate meta-analysis using various software packages.
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