Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews

Rebecca M Turner; Jonathan Davey; Mike J Clarke; Simon G Thompson; Julian Pt Higgins

doi:10.1093/ije/dys041

Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews

Rebecca M Turner, Jonathan Davey, Mike J Clarke, Simon G Thompson, Julian Pt Higgins

Research output: Contribution to journal › Article (Academic Journal) › peer-review

426 Citations (Scopus)

Abstract

Many meta-analyses contain only a small number of studies, which makes it difficult to estimate the extent of between-study heterogeneity. Bayesian meta-analysis allows incorporation of external evidence on heterogeneity, and offers advantages over conventional random-effects meta-analysis. To assist in this, we provide empirical evidence on the likely extent of heterogeneity in particular areas of health care.

Original language	English
Pages (from-to)	818-27
Number of pages	10
Journal	International Journal of Epidemiology
Volume	41
Issue number	3
DOIs	https://doi.org/10.1093/ije/dys041
Publication status	Published - 2012

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10.1093/ije/dys041

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abstract = "Many meta-analyses contain only a small number of studies, which makes it difficult to estimate the extent of between-study heterogeneity. Bayesian meta-analysis allows incorporation of external evidence on heterogeneity, and offers advantages over conventional random-effects meta-analysis. To assist in this, we provide empirical evidence on the likely extent of heterogeneity in particular areas of health care.",

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Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews. / Turner, Rebecca M; Davey, Jonathan; Clarke, Mike J; Thompson, Simon G; Higgins, Julian Pt.

In: International Journal of Epidemiology, Vol. 41, No. 3, 2012, p. 818-27.

Research output: Contribution to journal › Article (Academic Journal) › peer-review

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AU - Clarke, Mike J

AU - Thompson, Simon G

AU - Higgins, Julian Pt

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AB - Many meta-analyses contain only a small number of studies, which makes it difficult to estimate the extent of between-study heterogeneity. Bayesian meta-analysis allows incorporation of external evidence on heterogeneity, and offers advantages over conventional random-effects meta-analysis. To assist in this, we provide empirical evidence on the likely extent of heterogeneity in particular areas of health care.

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DO - 10.1093/ije/dys041

M3 - Article (Academic Journal)

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JF - International Journal of Epidemiology

SN - 0300-5771

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Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews

Abstract

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