Comparison of Two Methods to Detect Publication Bias in Meta-analysis
NIHR Leicester Biomedical Research Centre · University of Leicester
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Abstract
Objective
To compare the performance of Egger's regression test with a regression test based on sample size (a modification of Macaskill's test) with lnOR as the summary estimate.
Design
Simulation of meta-analyses under a number of scenarios in the presence and absence of publication bias and between-study heterogeneity. MAIN OUTCOME MEASURES: Type I error rates (the proportion of false-positive results) for each regression test and their power to detect publication bias when it is present (the proportion of true-positive results).
Citation impact
2,225
total citations
- FWCI
- 38.63
- Percentile
- 100%
- References
- 25
Citations per year
Authors
1Topics & keywords
Topics
Keywords
- Funnel plot
- Publication bias
- Statistics
- Meta-regression
- Regression
- Regression analysis
- Type I and type II errors
- Meta-analysis
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