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Assessing publication bias in coordinate-based meta-analysis techniques?

Freya Acar (UGent) , Ruth Seurinck (UGent) , Simone Kühn and Beatrijs Moerkerke (UGent)
(2016)
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Organization
Abstract
Specific coordinate-based meta-analysis methods have been developed to integrate the results of fMRI studies. Results that do not reach statistical significance are less likely to be published and included in a meta-analysis. Meta-analyses of fMRI studies are prone to this publication bias when studies are excluded because they fail to show activation in specific regions. In this study we propose an adaptation of the Fail-Safe N (FSN; Rosenthal, 1979) . The FSN reflects the number of null studies, i.e. studies without activation in a target region, that can be added to an existing meta-analysis without altering the result for the target region. We simulated 1000 meta-analyses and calculated the FSN for an original meta-analysis of 3 contributing studies in a target region. We varied the thresholding method of the meta-analysis and the sample size of the individual studies. We found that the FSN increases if the thresholding method is less stringent and decreases with an increasing sample size.
Keywords
fMRI, meta-analysis, publication bias

Citation

Please use this url to cite or link to this publication:

MLA
Acar, Freya, Ruth Seurinck, Simone Kühn, et al. “Assessing Publication Bias in Coordinate-based Meta-analysis Techniques?” 2016. Print.
APA
Acar, F., Seurinck, R., Kühn, S., & Moerkerke, B. (2016). Assessing publication bias in coordinate-based meta-analysis techniques? Presented at the Joint Statistical Meetings 2016.
Chicago author-date
Acar, Freya, Ruth Seurinck, Simone Kühn, and Beatrijs Moerkerke. 2016. “Assessing Publication Bias in Coordinate-based Meta-analysis Techniques?” In .
Chicago author-date (all authors)
Acar, Freya, Ruth Seurinck, Simone Kühn, and Beatrijs Moerkerke. 2016. “Assessing Publication Bias in Coordinate-based Meta-analysis Techniques?” In .
Vancouver
1.
Acar F, Seurinck R, Kühn S, Moerkerke B. Assessing publication bias in coordinate-based meta-analysis techniques? 2016.
IEEE
[1]
F. Acar, R. Seurinck, S. Kühn, and B. Moerkerke, “Assessing publication bias in coordinate-based meta-analysis techniques?,” presented at the Joint Statistical Meetings 2016, Chicago, 2016.
@inproceedings{8520091,
  abstract     = {Specific coordinate-based meta-analysis methods have been developed to integrate the results of fMRI studies. Results that do not reach statistical significance are less likely to be published and included in a meta-analysis. Meta-analyses of fMRI studies are prone to this publication bias when studies are excluded because they fail to show activation in specific regions. In this study we propose an adaptation of the Fail-Safe N (FSN; Rosenthal, 1979) . The FSN reflects the number of null studies, i.e. studies without activation in a target region, that can be added to an existing meta-analysis without altering the result for the target region. We simulated 1000 meta-analyses and calculated the FSN for an original meta-analysis of 3 contributing studies in a target region. We varied the thresholding method of the meta-analysis and the sample size of the individual studies. We found that the FSN increases if the thresholding method is less stringent and decreases with an increasing sample size.},
  author       = {Acar, Freya and Seurinck, Ruth and Kühn, Simone and Moerkerke, Beatrijs},
  keywords     = {fMRI,meta-analysis,publication bias},
  location     = {Chicago},
  title        = {Assessing publication bias in coordinate-based meta-analysis techniques?},
  year         = {2016},
}