Sensitivity Analysis of Publication Bias in Meta-analysis: A Bayesian Approach
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- Sakamoto Kimihiko
- Department of Biostatistics / Epidemiology and Preventive Health Sciences, School of Health Sciences and Nursing, University of Tokyo
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- Matsuyama Yutaka
- Department of Biostatistics / Epidemiology and Preventive Health Sciences, School of Health Sciences and Nursing, University of Tokyo
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- Ohashi Yasuo
- Department of Biostatistics / Epidemiology and Preventive Health Sciences, School of Health Sciences and Nursing, University of Tokyo
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Abstract
Due to the selection process in academic publication, all meta-analysis of published literature is more or less affected by the so-called publication bias and tends to overestimate the effect of interest. Statistically, publication bias in meta-analysis is a selection bias which results from a non-random sampling from the population of unpublished studies. Several authors proposed methods of modelling publication bias using a selection model approach, which considers a joint modelling of the weight function representing the publication probability of each study and a regression of the outcome of interest. Copas (1999) showed that in this approach some of the model parameters are not estimable and a sensitivity analysis should be conducted. In implementing the Copas's sensitivity analysis of publication bias, a practical difficulty arises in determining the range of sensitivity parameters appropriately. We propose in this article a Bayesian hierarchical model which extends Copas's selectivity model and incorporates the experts' opinions as a prior distribution of sensitivity parameters. We illustrate this approach with an example of the passive smoking and lung cancer meta-analysis.
Journal
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- Japanese Journal of Biometrics
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Japanese Journal of Biometrics 27 (2), 109-119, 2006
The Biometric Society of Japan
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Details 詳細情報について
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- CRID
- 1390282679347568384
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- NII Article ID
- 10018385914
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- NII Book ID
- AA11591618
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- ISSN
- 21856494
- 09184430
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- NDL BIB ID
- 8596766
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed