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Multivariate Meta-analysis

Assessing Separate Effects of Predictors on One Outcome Adjusted for the Other

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Modern Meta-Analysis

Abstract

Multivariate analysis, simultaneously, assesses the separate effects of the predictors on one outcome adjusted for the other. E.g., it can answer clinically important questions like: does drug-compliance not only predict drug efficacy, but also, independently of the first effect, predict quality of life (qol). In this chapter (1) the effect of counseling and non-compliance on drug efficacy and quality of life was assessed in a meta-analysis of 25 studies, (2) the effect of type of research group on hospital admissions due to adverse drug effects, study magnitudes, and patients age, in a meta-analysis of 20 studies, and (3) the effect of counseling and non-compliance on drug efficacy and quality of life in a meta-analysis of 20 studies. In all of the examples a beneficial effect of the predictors on the multivariate outcomes was observed.

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Reference

  • More information and stepwise analyses of multivariate models is given in SPSS for starters and 2nd levelers second edition, Chap. 18, pp. 101–8, Springer Heidelberg Germany, 2016, from the same authors.

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Cleophas, T.J., Zwinderman, A.H. (2017). Multivariate Meta-analysis. In: Modern Meta-Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-55895-0_19

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  • DOI: https://doi.org/10.1007/978-3-319-55895-0_19

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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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