Doing Meta-Analysis with R (e-bog) af Ebert, David D.
Ebert, David D. (forfatter)

Doing Meta-Analysis with R e-bog

692,63 DKK (inkl. moms 865,79 DKK)
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and 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. Advanc...
E-bog 692,63 DKK
Forfattere Ebert, David D. (forfatter)
Udgivet 14 september 2021
Længde 474 sider
Genrer Psychological theory, systems, schools and viewpoints
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781000435634
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and 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 and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises Describes statistical concepts clearly and concisely before applying them in R Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book