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A Bayesian "fill-in" method for correcting for publication bias in meta-analysis.
Han Du1, Fang Liu2, Lijuan Wang3
1Department of Psychology, University of California, Los Angeles.
Psychological Methods
|December 22, 2017
Summary
Publication bias can skew research findings. The new Bayesian fill-in meta-analysis (BALM) method effectively adjusts for publication bias, providing more accurate effect size estimates in systematic reviews.
Area of Science:
- Biostatistics
- Meta-analysis
- Research Methodology
Background:
- Publication bias, where published and unpublished studies differ, compromises systematic review validity.
- Conclusions from meta-analyses without bias correction are often overly optimistic and biased towards significance.
Purpose of the Study:
- To introduce the Bayesian fill-in meta-analysis (BALM) method for adjusting publication bias.
- To estimate population effect size while accommodating various publication bias assumptions.
Main Methods:
- Developed and simulated the BALM method.
- Compared BALM's performance against existing publication bias correction methods.
- Applied BALM to two real-world meta-analysis case studies.
Main Results:
- BALM demonstrated small biases, low Root Mean Square Error (RMSE), and accurate coverage rates for effect size and between-study variance.
- BALM outperformed other methods when the publication bias mechanism was correctly specified.
- Even with misspecification, BALM improved upon naive methods for overall effect size estimation.
Conclusions:
- BALM is a robust method for correcting publication bias in meta-analyses.
- The method's performance is sensitive to the assumed bias mechanism but remains superior to naive approaches.
- Provided R functions and guidelines facilitate BALM implementation and reporting.
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