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 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.Importing. Data. into. R. The R manual a#39;R Data Import/Exporta#39; available on CRAN is obviously a good starting point for information on data import. Furthermore, a Use-R! book on data manipulation has two chapters on reading and writing data anbsp;...
| Title | : | Meta-Analysis with R |
| Author | : | Guido Schwarzer, James R Carpenter, Gerta Rücker |
| Publisher | : | Springer - 2015-10-08 |
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