Using journal impact factors to correct for the publication bias of medical studies.
Baker, RD and Jackson, D 2006, 'Using journal impact factors to correct for the publication bias of medical studies.' , Biometrics, 62 (3) , pp. 785-792.Full text not available from this repository.
Publication bias of the results of medical studies can invalidate evidence-based medicine. The existing methodology for modeling this essentially relies upon the symmetry of the funnel plot. We present a new method of modeling publication bias that uses this information plus the impact factors of the publishing journals. A simple model of the publication process enables the estimation of bias-corrected intervention effects. The procedure is illustrated using a meta-analysis of the effectiveness of single-dose oral aspirin for acute pain, and results are also obtained for five other meta-analyses. The method enables the fitting of a wide range of models and is considered more flexible than other ways of compensating for publication bias. The model also provides the basis of a statistical test for the existence of publication bias. Use of the new methodology to supplement existing methods is recommended, in the context of a sensitivity analysis.
|Uncontrolled Keywords:||Evidence-based medicine; Impact factor; Meta-analysis; Publication bias; Stochastic model|
|Themes:||Subjects / Themes > Q Science > QA Mathematics > QA275 Mathematical Statistics|
Subjects outside of the University Themes
|Schools:||Colleges and Schools > College of Business & Law > Salford Business School > Management Science and Statistics|
|Journal or Publication Title:||Biometrics|
|Depositing User:||H Kenna|
|Date Deposited:||21 Aug 2007 12:13|
|Last Modified:||13 Mar 2013 11:49|
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