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The tutorial aims to present advanced statistical techniques for analyzing both univariate and bivariate treatment effects in meta-analyses.

Advanced methods in meta‐analysis: multivariate approach and meta‐regression

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Tutorial explores advanced statistical methods for analyzing treatment effects in meta-analyses, suggesting applications.

The tutorial aims to present advanced statistical techniques for analyzing both univariate and bivariate treatment effects in meta-analyses.
Utilizes general linear mixed models with approximate likelihood for analysis.
Discusses extensions such as exact likelihood and non-normal mixtures for multiple endpoints.
Illustrates methods through a meta-analysis of BCG vaccine efficacy against tuberculosis.
Demonstrates that standard software can fit all approximate likelihood models.
Illustrates advanced methods' applicability with real data on BCG vaccine against tuberculosis.
Highlights the advantages of Bayesian methods in enhancing meta-analysis.

Houwelingen et al. (2002) studied this question.

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