review Open AccessTop 1% cited
Measuring inconsistency in meta-analyses
BMJ · 2003 · Vol. 327(7414) · pp. 557–560
Julian P. T. Higgins✉(MRC Biostatistics Unit)Simon G. Thompson(MRC Biostatistics Unit)Jonathan J Deeks(Cancer Research UK)Douglas G. Altman(Cancer Research UK)
Abstract
Paper from the BMJ by Higgins J. P. T. et al \nCochrane Reviews have recently started including the quantity I 2 to help readers assess the \nconsistency of the results of studies in meta-analyses. What does this new quantity mean, and why is \nassessment of heterogeneity so important to clinical practice?
Meta-analysis and systematic reviewsTrauma, Hemostasis, Coagulopathy, ResuscitationHealth Sciences Research and EducationComputer scienceData scienceInformation retrievalWorld Wide Web
MeSH terms
Data Interpretation, StatisticalSensitivity and SpecificityMeta-Analysis as TopicReproducibility of Results
Citations
61,700
FWCI
438.08
field-weighted impact
References
27
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100%
vs. same field & year
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References
Funnel plots for detecting bias in meta-analysis
Journal of Clinical Epidemiology · 2001 · 3,689 citations
Quantifying heterogeneity in a meta‐analysis
Statistics in Medicine · 2002 · 36,106 citations
The Combination of Estimates from Different Experiments
Biometrics · 1954 · 5,313 citations
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