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Meta-analysis with R
~
Carpenter, James R.
Meta-analysis with R
Record Type:
Electronic resources : Monograph/item
Title/Author:
Meta-analysis with Rby Guido Schwarzer, James R. Carpenter, Gerta Rucker.
Author:
Schwarzer, Guido.
other author:
Carpenter, James R.
Published:
Cham :Springer International Publishing :2015.
Description:
xii, 252 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Meta-analysis.
Online resource:
http://dx.doi.org/10.1007/978-3-319-21416-0
ISBN:
9783319214160$q(electronic bk.)
Meta-analysis with R
Schwarzer, Guido.
Meta-analysis with R
[electronic resource] /by Guido Schwarzer, James R. Carpenter, Gerta Rucker. - Cham :Springer International Publishing :2015. - xii, 252 p. :ill., digital ;24 cm. - Use R!,2197-5736. - Use R!.
Part I Getting Started: An Introduction to Meta-Analysis in R -- Part II Standard Methods: Fixed Effect and Random Effects Meta-Analysis -- Meta-Analysis with Binary Outcomes -- Heterogeneity and Meta-Regression -- Part III Advanced Topics: Small-Study Effects in Meta-Analysis -- Missing Data in Meta-Analysis -- Multivariate Meta-Analysis -- Network Meta-Analysis -- Meta-Analysis of Diagnostic Test Accuracy Studies -- Further Information on R -- Index.
This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.
ISBN: 9783319214160$q(electronic bk.)
Standard No.: 10.1007/978-3-319-21416-0doiSubjects--Topical Terms:
224398
Meta-analysis.
LC Class. No.: R853.M48
Dewey Class. No.: 610.727
Meta-analysis with R
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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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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.
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Mathematics and Statistics (Springer-11649)
based on 0 review(s)
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EB R853.M48 S411 2015
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http://dx.doi.org/10.1007/978-3-319-21416-0
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