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A new approach to outliers in meta-analysis

Baker, RD and Jackson, D 2008, 'A new approach to outliers in meta-analysis' , Healthcare Management Science, 11 (2) , pp. 121-131.

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Abstract

The synthesis of evidence from trials and medical studies using meta-analysis is essential for Evidence Based Medicine. However, problematical outlying results often occur even under the random-effects model. We propose a model that allows a long-tailed distribution for the random effect, which removes the necessity for an arbitrary decision to include or exclude outliers. In this approach, they are included, but with a reduced weight. We also introduce a modification of the forest plot to show the downweighting of outliers. We illustrate the methodology and its usefulness by carrying out both frequentist and Bayesian meta-analyses using data sets from the Cochrane Collaboration.

Item Type: Article
Themes: Health and Wellbeing
Schools: Colleges and Schools > College of Business & Law > Salford Business School > Management Science and Statistics
Journal or Publication Title: Healthcare Management Science
Publisher: Springer
Refereed: Yes
ISSN: 1386-9620
Depositing User: Prof Rose Dawn Baker
Date Deposited: 24 Nov 2011 11:50
Last Modified: 20 Aug 2013 18:18
URI: http://usir.salford.ac.uk/id/eprint/19014

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