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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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100 1 $a Schwarzer, Guido. $3 731736
245 1 0 $a Meta-analysis with R $h [electronic resource] / $c by Guido Schwarzer, James R. Carpenter, Gerta Rucker.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xii, 252 p. : $b ill., digital ; $c 24 cm.
490 1 $a Use R!, $x 2197-5736
505 0 $a 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.
520 $a 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.
650 0 $a Meta-analysis. $3 224398
650 0 $a R (Computer program language) $3 210846
650 0 $a Medical statistics. $3 182007
650 1 4 $a Statistics. $3 182057
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650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 274394
650 2 4 $a Biostatistics. $3 339693
700 1 $a Carpenter, James R. $3 603538
700 1 $a Rucker, Gerta. $3 731737
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Use R! $3 558822
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-21416-0
950 $a Mathematics and Statistics (Springer-11649)