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Doing Meta-Analysis with R
A Hands-On Guide
Langbeschreibung
This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools.
Inhaltsverzeichnis
1. Introduction. 2.Discovering R. 3. Effect Sizes. 4. Pooling Effect Sizes. 5. Between-Study Heterogeneity. 6. Forest Plots. 7. Subgroup Analyses. 8. Meta-Regression. 9. Publication Bias. 10. "Multilevel" Meta-Analysis. 11. Structural Equation Modeling Meta-Analysis. 12. Network Meta-Analysis. 13. Bayesian Meta-Analysis. 14. Power Analysis. 15. Risk of Bias Plots. 16. Reporting & Reproducibility. 17. Effect Size Calculation & Conversion.
Mathias Harrer is a research associate at the Friedrich-Alexander-University Erlangen-Nuremberg. Mathias' research focuses on biostatistical and technological approaches in psychotherapy research, methods for clinical research synthesis, and on the development of statistical software.
ISBN-13:
9781000435634
Veröffentl:
2021
Seiten:
500
Autor:
Mathias Harrer
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch
67,49 €*
Lieferzeit: Sofort lieferbar
Alle Preise inkl. MwSt.