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Assessing publication bias in meta-analysis
Karen L Soeken1, Acharaporn Sripusanapan
1University of Maryland School of Nursing, Baltimore 21201, USA. Soeken@son.umaryland.edu
Background:
Although publication bias is a concern when using meta-analysis, techniques for assessing for its potential appear to be underused in nursing.
Objectives:
To demonstrate several methods, both graphical and statistical, of assessing for publication bias.
Methods:
Four methods are described and demonstrated, ranging from the familiar fail-safe N to the trim-and-fill method, using the same contrived data set.
Results:
Methods vary in their conclusion about the presence of potential publication bias in the example presented. Some limitations of the methods are noted to assist meta-analysts in determining which to consider using.
Conclusion:
Given that publication bias can affect the validity of meta-analytic studies, researchers are encouraged to use more than one method to assess for bias so that clinicians and decision-makers can have the best possible information available.
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