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Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews
International Journal of Epidemiology · 2012 · Vol. 41(3) · pp. 818–827
Rebecca Turner✉(MRC Biostatistics Unit)Jonathan Davey(Institute of Public Health)Mike Clarke(University of Cambridge)Simon G. Thompson(MRC Biostatistics Unit)Julian P. T. Higgins(Institute of Public Health)
Abstract
Meta-analysis characteristics were strongly associated with the degree of between-study heterogeneity, and predictive distributions for heterogeneity differed substantially across settings. The informative priors provided will be very beneficial in future meta-analyses including few studies.
Meta-analysis and systematic reviewsStatistical Methods in Clinical TrialsReliability and Agreement in MeasurementMeta-analysisStudy heterogeneityRandom effects modelSystematic reviewMedicinePsychological interventionOdds ratioPooled varianceMeta-regressionStatistics
MeSH terms
Bayes TheoremHumansResearch DesignMeta-Analysis as TopicOutcome Assessment, Health Care
Funding
- Medical Research Council
Citations
829
FWCI
27.09
field-weighted impact
References
25
Percentile
100%
vs. same field & year
Citations per year
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