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Meta-analytic tools for medical decision making: a practical guide

V Hasselblad1, D C McCrory

  • 1Center for Health Policy Research and Education, Duke University, Durham, NC 27705.

Medical Decision Making : an International Journal of the Society for Medical Decision Making
|January 1, 1995
PubMed
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This paper extends meta-analysis methods, covering standard and evolving techniques for combining p-values, analyzing models, and handling various outcomes. It presents simplified and precise formulas, including classic and Bayesian approaches with examples.

Area of Science:

  • Biostatistics
  • Medical Decision Making

Background:

  • Meta-analysis is a crucial statistical technique for synthesizing research findings.
  • Standard methods for meta-analysis have been established, but evolving techniques are continuously being developed.

Purpose of the Study:

  • To provide a comprehensive overview of standard and evolving meta-analysis methods.
  • To present practical formulas and examples for various meta-analysis scenarios.

Main Methods:

  • Combining p-values
  • Analyzing general fixed-effects models
  • Analyzing contingency tables
  • Analyzing count and continuous outcomes
  • Presenting both simplified and precise formulas
  • Incorporating classic and Bayesian approaches

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Main Results:

  • The paper details methods for diverse data types and analytical models.
  • Both simplified and precise formulas are provided for practical application.
  • Examples illustrate the application of various meta-analysis techniques.

Conclusions:

  • The presented methods offer a robust framework for conducting meta-analyses.
  • The inclusion of both classic and Bayesian approaches caters to a wider range of research needs.
  • This work serves as a valuable resource for researchers and practitioners in medical decision making.