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Publication bias in meta-analysis: its causes and consequences.
1P.N. Lee Statistics and Computing Ltd, 17 Cedar Road, Sutton, Surrey, United Kingdom.
Journal of Clinical Epidemiology
|March 24, 2000
Summary
Publication bias, a common issue in research, distorts study findings. This review examines its causes, detection, and prevention methods, highlighting limitations in current approaches.
Area of Science:
- Medical Research
- Biostatistics
- Scientific Publishing
Background:
- Publication bias is a significant challenge in research, potentially skewing results.
- It affects the reliability of evidence synthesis, particularly in meta-analyses.
- Understanding the sources of bias is crucial for accurate scientific interpretation.
Purpose of the Study:
- To review factors contributing to publication bias in study design and execution.
- To examine the roles of authors, editors, and reviewers in the publication process.
- To assess methods for detecting, correcting, and preventing publication bias.
Main Methods:
- Literature review of studies on publication bias.
- Analysis of factors influencing study submission and publication decisions.
- Evaluation of existing methods for bias detection and correction.
Main Results:
- Study design and meta-analysis execution are key sources of publication bias.
- Author decisions, journal editorial policies, and reviewer practices significantly impact publication.
- Current methods for addressing publication bias have inherent limitations.
Conclusions:
- Publication bias poses a persistent threat to research integrity.
- While detection and correction methods exist, they are imperfect.
- Achieving complete prevention through universal trial registration or publication remains an aspirational goal.