Publication Bias and Funnel Plots

Learning Objectives

By the end of this section, you will be able to:

  • Understand publication bias and its impact on meta-analysis
  • Create and interpret funnel plots
  • Identify strategies to mitigate publication bias

Introduction

Publication bias occurs when studies with positive results are more likely to be published than those with negative or null results. This bias can skew meta-analysis findings.

Understanding Funnel Plots

  • Visual tool to assess publication bias in meta-analysis.
  • Plots study size against effect size to detect asymmetry.
  • Symmetrical plots suggest low bias, while asymmetry indicates potential bias.

Mitigating Publication Bias

  • Conduct comprehensive searches to include unpublished studies.
  • Use statistical methods like trim-and-fill to adjust for bias.
  • Report bias findings transparently in your analysis.

Conclusion

Detecting and addressing publication bias using funnel plots is crucial for ensuring the accuracy and integrity of your meta-analysis results.

EviSynth offers tools to create and evaluate funnel plots effectively. Explore EviSynth's features.