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Schwarzer, Guido [Author] ; Carpenter, James R. [Other]; Rücker, Gerta [Other]

Meta-Analysis with R

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  • Media type: E-Book
  • Title: Meta-Analysis with R
  • Contains: Part I Getting Started: An Introduction to Meta-Analysis in RPart II Standard Methods: Fixed Effect and Random Effects Meta-Analysis -- Meta-Analysis with Binary Outcomes -- Heterogeneity and Meta-Regression -- Part III Advanced Topics: Small-Study Effects in Meta-Analysis -- Missing Data in Meta-Analysis -- Multivariate Meta-Analysis -- Network Meta-Analysis -- Meta-Analysis of Diagnostic Test Accuracy Studies -- Further Information on R -- Index.
  • Contributor: Schwarzer, Guido [Author]; Carpenter, James R. [Other]; Rücker, Gerta [Other]
  • Published: Cham: Springer, 2015
  • Published in: Use R!
    Springer eBook Collection
    SpringerLink ; Bücher
  • Extent: Online-Ressource (XII, 252 p. 58 illus., 4 illus. in color, online resource)
  • Language: English
  • DOI: 10.1007/978-3-319-21416-0
  • ISBN: 9783319214160
  • Identifier:
  • RVK notation: ST 250 : Einzelne Programmiersprachen (A-Z)
    MR 2200 : Datenverarbeitung und Kybernetik für Soziologen
  • Keywords: R > Metaanalyse
    R > Metaanalyse
  • Origination:
  • Footnote:
  • Description: Part I Getting Started: An Introduction to Meta-Analysis in R -- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis -- Meta-Analysis with Binary Outcomes -- Heterogeneity and Meta-Regression -- Part III Advanced Topics: Small-Study Effects in Meta-Analysis -- Missing Data in Meta-Analysis -- Multivariate Meta-Analysis -- Network Meta-Analysis -- Meta-Analysis of Diagnostic Test Accuracy Studies -- Further Information on R -- Index

    This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies