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.Abstract
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.
| Item Type: | Article |
|---|---|
| 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: | Schools > Salford Business School > Salford Business School Research Centre |
| Journal or Publication Title: | Biometrics |
| Refereed: | Yes |
| ISSN: | 0006-341X |
| Depositing User: | H Kenna |
| Date Deposited: | 21 Aug 2007 11:13 |
| Last Modified: | 24 Nov 2017 13:59 |
| URI: | http://usir.salford.ac.uk/id/eprint/265 |
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