Baker, RD 
ORCID: https://orcid.org/0000-0003-3555-3425 and Jackson, D
2008,
'A new approach to outliers in meta-analysis'
, Healthcare Management Science, 11 (2)
, pp. 121-131.
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: | Schools > Salford Business School > Salford Business School Research Centre |
| 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: | 27 Aug 2021 22:49 |
| URI: | http://usir.salford.ac.uk/id/eprint/19014 |
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