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Random Intercepts Meta-analysis

Multiple Categorical Outcome and Predictor Variables

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Abstract

Meta-analyses with multiple categorical outcome and predictor variables provide better sensitivity of testing with random intercepts than with fixed intercepts models.

Three studies each of them from a different hospital department assessed the effect of ageclass and hospital department on the fall out of bed risk. The random intercept analysis of variance model provided better statistics than the fixed intercept analysis of variance model did.

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Reference

  • More information on statistical methods for analyzing data with categories is, e.g., in the Chaps. 8, 39, and 44, SPSS for starters and 2nd levelers second edition, Springer Heidelberg Germany, 2016, from the same authors.

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Cleophas, T.J., Zwinderman, A.H. (2017). Random Intercepts Meta-analysis. In: Modern Meta-Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-55895-0_13

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  • DOI: https://doi.org/10.1007/978-3-319-55895-0_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-55894-3

  • Online ISBN: 978-3-319-55895-0

  • eBook Packages: MedicineMedicine (R0)

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