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Dealing with substantial heterogeneity in Cochrane reviews. Cross-sectional study

Jeppe B. Schroll, Rasmus Moustgaard, Peter C Gøtzsche

    181 Citations (Scopus)

    Abstract

    Dealing with heterogeneity in meta-analyses is often tricky, and there is only limited advice for authors on what to do. We investigated how authors addressed different degrees of heterogeneity, in particular whether they used a fixed effect model, which assumes that all the included studies are estimating the same true effect, or a random effects model where this is not assumed.
    Original languageEnglish
    JournalB M C Medical Research Methodology
    Volume11
    Pages (from-to)22
    ISSN1471-2288
    DOIs
    Publication statusPublished - 2011

    Keywords

    • Cross-Sectional Studies
    • Data Interpretation, Statistical
    • Databases, Factual
    • Humans
    • Meta-Analysis as Topic
    • Models, Statistical
    • Research Design

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