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Meta-Analysis with R

✍ Scribed by Guido Schwarzer, James R. Carpenter, Gerta Rücker (auth.)


Publisher
Springer International Publishing
Year
2015
Tongue
English
Leaves
256
Series
Use R!
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xii
Front Matter....Pages 1-1
An Introduction to Meta-Analysis in R....Pages 3-17
Front Matter....Pages 19-19
Fixed Effect and Random Effects Meta-Analysis....Pages 21-53
Meta-Analysis with Binary Outcomes....Pages 55-83
Heterogeneity and Meta-Regression....Pages 85-104
Front Matter....Pages 105-105
Small-Study Effects in Meta-Analysis....Pages 107-141
Missing Data in Meta-Analysis....Pages 143-164
Multivariate Meta-Analysis....Pages 165-185
Network Meta-Analysis....Pages 187-216
Meta-Analysis of Diagnostic Test Accuracy Studies....Pages 217-236
Back Matter....Pages 237-252

✦ Subjects


Statistics for Life Sciences, Medicine, Health Sciences; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law; Biostatistics


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