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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Schwarzer, Guido (Autor), Carpenter, James R. (Autor), Rücker, Gerta (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:Use R!,
Temas:
Acceso en línea:Texto Completo

MARC

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245 1 0 |a Meta-Analysis with R  |h [electronic resource] /  |c by Guido Schwarzer, James R. Carpenter, Gerta Rücker. 
250 |a 1st ed. 2015. 
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300 |a XII, 252 p. 58 illus., 4 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
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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 Biometry. 
650 0 |a Social sciences-Statistical methods. 
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