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Related Experiment Videos

Advanced methods in meta-analysis: multivariate approach and meta-regression.

Hans C van Houwelingen1, Lidia R Arends, Theo Stijnen

  • 1Department of Medical Statistics, Leiden University Medical Center, P.O. Box 9604, 2300 RC Leiden, The Netherlands. jcvanhouwelingen@lumc.nl

Statistics in Medicine
|February 12, 2002
PubMed
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This tutorial explores advanced statistical methods for meta-analysis, including univariate and bivariate treatment effects and meta-regression. It demonstrates these techniques using a BCG vaccine efficacy study, with analyses executable in standard software like SAS Proc Mixed.

Area of Science:

  • Biostatistics
  • Statistical Methods
  • Epidemiology

Background:

  • Builds upon elementary meta-analysis techniques.
  • Addresses the need for advanced statistical approaches in research synthesis.

Purpose of the Study:

  • To provide a tutorial on advanced statistical methods for meta-analysis.
  • To illustrate these methods using a real-world case study on BCG vaccine efficacy.

Main Methods:

  • Utilizes the general linear mixed model with approximate likelihood.
  • Discusses univariate and bivariate treatment effects analysis.
  • Covers meta-regression methods and extensions like exact likelihood and Bayesian approaches.

Main Results:

  • Demonstrates the application of advanced meta-analysis techniques.

Related Experiment Videos

  • Shows how to fit models using standard software (SAS Proc Mixed).
  • Provides practical insights through the BCG vaccine efficacy example.

    • Conclusions:

    • Advanced statistical methods enhance meta-analysis capabilities.
    • The discussed models are applicable to various research scenarios.
    • Bayesian methods offer further extensions for meta-analysis.