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Area of Science:

  • Medical Statistics
  • Biostatistics
  • Research Methodology

Background:

  • Meta-analysis is a growing statistical technique in medical research for combining study results.
  • Understanding and performing meta-analysis is crucial for researchers.
  • Systematic review data collection is assumed complete; this guide focuses on the analysis phase.

Purpose of the Study:

  • To provide a guide for conducting meta-analysis using R and RStudio.
  • To present basic concepts and essential commands for meta-analysis in R.
  • To facilitate practical meta-analysis execution through illustrative examples.

Main Methods:

  • Utilizes R and RStudio, a free and accessible statistical software.
  • Provides basic commands necessary for meta-analysis procedures.
  • Includes two practical examples to demonstrate meta-analysis execution.

Main Results:

  • Readers gain access to fundamental R commands for meta-analysis.
  • Practical examples illustrate the application of these commands.
  • The guide enables users to perform robust meta-analyses.

Conclusions:

  • This article serves as a foundational guide for performing meta-analyses in R.
  • The provided examples and commands empower researchers to conduct robust statistical syntheses.
  • While not exhaustive, the content equips users with essential skills for meta-analysis.