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1 |
|
|a Harrer, Mathias,
|e author.
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| 245 |
1 |
0 |
|a Doing meta-analysis with R :
|b a hands-on guide /
|c Mathias Harrer [and three others].
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| 250 |
|
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|a First edition.
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1 |
|a Boca Raton :
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| 500 |
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|
| 504 |
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|a Includes bibliographical references and index.
|
| 505 |
0 |
|
|a Introduction -- Discovering R -- Effect Sizes -- Pooling Effect Sizes -- Between-Study Heterogeneity -- Forest Plots -- Subgroup Analyses -- Meta-Regression -- Publication Bias -- "Multilevel" Meta-Analysis -- Structural Equation Modeling Meta-Analysis -- Network Meta-Analysis -- Bayesian Meta-Analysis -- Power Analysis -- Risk of Bias Plots -- Reporting & Reproducibility -- Effect Size Calculation & Conversion.
|
| 520 |
|
|
|a "This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced, but highly relevant topics such as network meta-analysis, multi-/three-level meta-analyses, Bayesian meta-analysis approaches, SEM meta-analysis are also covered. A companion R package, dmetar, is introduced in the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide"--
|c Provided by publisher.
|
| 650 |
|
0 |
|a Meta-analysis.
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| 650 |
|
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|a R (Computer program language)
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| 650 |
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2 |
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|a Programming Languages.
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|
| 998 |
f |
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