Meta-Analysis with R
Schwarzer, Guido.
Meta-Analysis with R [electronic resource] / by Guido Schwarzer, James R. Carpenter, Gerta Rücker. - XII, 252 p. 58 illus., 4 illus. in color. online resource. - 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. .
9783319214160
10.1007/978-3-319-21416-0 doi
Statistics.
Biostatistics.
Statistics.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
Biostatistics.
QA276-280
519.5
Meta-Analysis with R [electronic resource] / by Guido Schwarzer, James R. Carpenter, Gerta Rücker. - XII, 252 p. 58 illus., 4 illus. in color. online resource. - 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. .
9783319214160
10.1007/978-3-319-21416-0 doi
Statistics.
Biostatistics.
Statistics.
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
Biostatistics.
QA276-280
519.5