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Statistical and theoretical considerations in meta-analysis

I Olkin1

  • 1Department of Statistics, Stanford University, CA 94305-4065.

Journal of Clinical Epidemiology
|January 1, 1995
PubMed
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This study reviews statistical methods for combining independent research findings, highlighting the impact of the post-1950 information explosion. It illustrates meta-analysis techniques with a practical example for robust study design.

Area of Science:

  • Statistics
  • Research Methodology

Background:

  • The post-1950 information explosion significantly influenced the development of statistical methods.
  • Combining results from independent studies is crucial for synthesizing evidence.

Purpose of the Study:

  • To provide a historical overview of statistical methods for study result aggregation.
  • To illustrate meta-analysis techniques and alternative analytical approaches.

Main Methods:

  • Historical review of statistical methodologies.
  • Illustrative example of a meta-analysis.

Main Results:

  • The evolution of statistical methods for combining study results is traced.
  • Key analytical alternatives for meta-analytic studies are presented.

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Conclusions:

  • Understanding the historical development aids in selecting appropriate meta-analytic techniques.
  • A comprehensive approach to meta-analysis ensures reliable evidence synthesis.