Meta-Analysis with R

Meta-Analysis with R

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 concep...

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Bibliographic Details
Published in:Springer eBooks
Main Authors: Schwarzer, Guido (Author), Carpenter, James R. (Author), Rücker, Gerta (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
Series:Use R!,
Subjects:
Statistics.
Biostatistics.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
Online Access:http://dx.doi.org/10.1007/978-3-319-21416-0
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Table of Contents:
  • 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.

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