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Related Experiment Video

Updated: May 23, 2026

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
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The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

Conducting a meta-analysis: basics and good practices.

Mike W-L Cheung1, Roger C M Ho, Yonghao Lim

  • 1Department of Psychology, Faculty of Arts and Social Sciences, National University of Singapore, Singapore. mikewlcheung@nus.edu.sg

International Journal of Rheumatic Diseases
|April 3, 2012
PubMed
Summary
This summary is machine-generated.

This paper introduces meta-analysis, a statistical method for combining research findings. It covers effect sizes, statistical models, and practical applications using real data and software tools.

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Last Updated: May 23, 2026

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials
08:36

The Adjuvant Efficacy of Angong Niuhuang Pill in the Treatment of Viral Encephalitis: A Meta-Analysis of Randomized Controlled Trials

Published on: April 19, 2024

Area of Science:

  • Biostatistics
  • Medical Research Synthesis
  • Quantitative Research Methods

Background:

  • Meta-analysis is a standard method for synthesizing empirical research findings across disciplines.
  • This paper is the third in a series on systematic review and meta-analysis.

Purpose of the Study:

  • To present common effect sizes used in meta-analysis.
  • To introduce fixed-, random-, and mixed-effects models.
  • To illustrate meta-analysis procedures with real data and highlight relevant software.

Main Methods:

  • Presentation of common effect size metrics.
  • Introduction to fixed-, random-, and mixed-effects statistical models.
  • Demonstration using a published meta-analysis dataset.

Main Results:

  • The paper details the application and interpretation of meta-analysis techniques.
  • It provides an overview of statistical models and their use in synthesizing data.
  • Practical guidance is offered through a real-world example.

Conclusions:

  • Meta-analysis is a powerful tool for evidence synthesis in research.
  • Understanding effect sizes and statistical models is crucial for accurate meta-analysis.
  • Software tools can facilitate the execution and interpretation of meta-analyses.