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Review
. 2008 Jun 21;336(7658):1413-5.
doi: 10.1136/bmj.a117.

Reasons or excuses for avoiding meta-analysis in forest plots

John P A Ioannidis  1 , Nikolaos A Patsopoulos, Hannah R Rothstein
Affiliations
Review

Reasons or excuses for avoiding meta-analysis in forest plots

John P A Ioannidis et al. BMJ. .

Abstract

Heterogeneous data are a common problem in meta-analysis. John Ioannidis, Nikolaos Patsopoulos, and Hannah Rothstein show that final synthesis is possible and desirable in most cases

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Conflict of interest statement

Competing interests: None declared.

Figures

None
Fig 1 I2 point estimates and 95% CI for forest plots with at least 4 studies and no quantitative synthesis because of perceived high statistical heterogeneity
See this image and copyright information in PMC

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