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A hands-on practical tutorial on performing meta-analysis with Stata.

Anna Chaimani1, Dimitris Mavridis2, Georgia Salanti1

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Evidence-Based Mental Health
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This guide explains meta-analysis using Stata software. It covers model selection, publication bias, and missing data for mental health research.

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Area of Science:

  • Mental Health Research
  • Biostatistics
  • Psychological Science

Background:

  • Meta-analysis is crucial for synthesizing research on intervention effectiveness.
  • Previous papers detailed meta-analysis concepts: fixed/random effects models, publication bias, and missing data.
  • This paper provides practical Stata implementation guidance for these meta-analysis topics.

Discussion:

  • Demonstrates Stata commands for fixed and random effects models.
  • Illustrates methods to assess and address publication bias in meta-analysis.
  • Provides Stata code for handling missing outcome data in meta-synthesis.

Key Insights:

  • Stata offers robust tools for conducting rigorous meta-analyses.
  • Addressing publication bias and missing data is essential for valid synthesis.
  • Practical application in mental health research enhances understanding.

Outlook:

  • Encourages wider adoption of Stata for transparent meta-analysis.
  • Promotes best practices in statistical synthesis for mental health.
  • Facilitates more reliable evidence-based interventions through improved meta-analysis techniques.