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Related Experiment Videos

Assessing publication bias in meta-analysis.

Karen L Soeken1, Acharaporn Sripusanapan

  • 1University of Maryland School of Nursing, Baltimore 21201, USA. Soeken@son.umaryland.edu

Nursing Research
|January 29, 2003
PubMed
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Publication bias can impact meta-analysis validity, yet assessment methods are underused in nursing. This study demonstrates techniques to evaluate potential publication bias, aiding researchers in ensuring reliable findings.

Area of Science:

  • Nursing Research
  • Biostatistics
  • Evidence-Based Practice

Background:

  • Publication bias is a significant concern in meta-analysis.
  • Techniques for assessing publication bias are underutilized in nursing research.

Purpose of the Study:

  • To demonstrate graphical and statistical methods for assessing publication bias.
  • To highlight the importance of bias assessment in meta-analysis.

Main Methods:

  • Four distinct methods for assessing publication bias were described and demonstrated.
  • A single contrived dataset was used for comparative analysis.
  • Methods included fail-safe N and trim-and-fill.

Main Results:

  • Different methods yielded varying conclusions regarding the presence of publication bias.

Related Experiment Videos

  • Limitations of each method were identified to guide selection.
  • The example illustrated the variability in bias assessment outcomes.

    • Conclusions:

    • Publication bias can compromise the validity of meta-analytic findings.
    • Researchers should employ multiple methods to assess publication bias.
    • Comprehensive bias assessment supports informed clinical decision-making.