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.

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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:	Colleges and Schools > College of Business & Law > Salford Business School > Management Science and Statistics
Journal or Publication Title:	Biometrics
Refereed:	Yes
ISSN:	0006-341X
Depositing User:	H Kenna
Date Deposited:	21 Aug 2007 12:13
Last Modified:	13 Mar 2013 11:49
URI:	http://usir.salford.ac.uk/id/eprint/265

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