Meta-Analysis with R

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Название:Meta-Analysis with R

Автор Schwarzer, Guido, Carpenter, James R, Rücker, Gerta

Издательство: Springer

Год: 2015

Страниц: 264

Язык: English

Формат: pdf

Размер: 3 Mb

Includes step-by-step tutorials to help the reader to understand and apply meta-analytical methods Takes readers through all the steps involved in preparing graphical summaries of results, using flexible software written by the authors

Features extensive examples that strike an excellent balance between the how-to of the R code, the statistical methods involved, and discussion of the data and interpretation of the results 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

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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