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Meta-Analysis with R

  • Guido Schwarzer
  • James R. Carpenter
  • Gerta Rücker
Book

Part of the Use R! book series (USE R)

Table of contents

  1. Front Matter
    Pages i-xii
    PDF

  2. Getting Started

    1. Front Matter
      Pages 1-1
      PDF
    2. An Introduction to Meta-Analysis in R
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 3-17

  3. Standard Methods

    1. Front Matter
      Pages 19-19
      PDF
    2. Fixed Effect and Random Effects Meta-Analysis
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 21-53
    3. Meta-Analysis with Binary Outcomes
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 55-83
    4. Heterogeneity and Meta-Regression
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 85-104

  4. Advanced Topics

    1. Front Matter
      Pages 105-105
      PDF
    2. Small-Study Effects in Meta-Analysis
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 107-141
    3. Missing Data in Meta-Analysis
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 143-164
    4. Multivariate Meta-Analysis
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 165-185
    5. Network Meta-Analysis
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 187-216
    6. Meta-Analysis of Diagnostic Test Accuracy Studies
      Guido Schwarzer, James R. Carpenter, Gerta Rücker
      Pages 217-236
  5. Back Matter
    Pages 237-252
    PDF

About this book

Introduction

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.

 

Keywords

diagnostic studies meta-analysis missing data multivariate analysis small study effects

Authors and affiliations

  • Guido Schwarzer
    • 1
  • James R. Carpenter
    • 2
  • Gerta Rücker
    • 3
  1. 1.Institute for Medical Biometry and StatisticsMedical Center – University of FreiburgFreiburgGermany
  2. 2.MRC Clinical Trials UnitLondon and London School of Hygiene and Tropical MedicineLondonUnited Kingdom
  3. 3.Institute for Medical Biometry and StatisticsMedical Center – University of FreiburgFreiburgGermany

Bibliographic information