Skip to main content

Assessing publication bias in meta-analyses in the presence of between-study heterogeneity

Buy Article:

$43.00 plus tax (Refund Policy)


Between-study heterogeneity and publication bias are common features of a meta-analysis that can be present simultaneously. When both are suspected, consideration must be made of each in the assessment of the other. We consider extended funnel plot tests for detecting publication bias, and selection modelling and trim-and-fill methods to adjust for publication bias in the presence of between-study heterogeneity. These methods are applied to two example data sets. Results indicate that ignoring between-study heterogeneity when assessing publication bias can be misleading, but that methods to test or adjust for publication bias in the presence of heterogeneity may not be powerful when the meta-analysis is not large. It is therefore unrealistic to expect to disentangle the effects of publication bias and heterogeneity reliably in all except the largest meta-analyses.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

Keywords: Funnel plots; Heterogeneity; Meta-analysis; Metaregression; Publication bias

Document Type: Research Article

Affiliations: 1: University of Leicester, UK 2: Imperial College London, UK

Publication date: 2010-07-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more