Doing meta-analysis with R: (Record no. 3520)

MARC details
000 -LEADER
fixed length control field 02357nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221201143248.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221201b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780367610074
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 610.727
Item number HAR
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Harrer, Mathias
245 ## - TITLE STATEMENT
Title Doing meta-analysis with R:
Remainder of title a hands-on guide
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. CRC Press
Place of publication, distribution, etc. Boca Raton
Date of publication, distribution, etc. 2022
300 ## - PHYSICAL DESCRIPTION
Extent xxvi, 474 p.
365 ## - TRADE PRICE
Price type code GBP
Price amount 68.99
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Contents<br/>1. Introduction. 2.Discovering R. 3. Effect Sizes. 4. Pooling Effect Sizes. 5. Between-Study Heterogeneity. 6. Forest Plots. 7. Subgroup Analyses. 8. Meta-Regression. 9. Publication Bias. 10. “Multilevel” Meta-Analysis. 11. Structural Equation Modeling Meta-Analysis. 12. Network Meta-Analysis. 13. Bayesian Meta-Analysis. 14. Power Analysis. 15. Risk of Bias Plots. 16. Reporting & Reproducibility. 17. Effect Size Calculation & Conversion.
520 ## - SUMMARY, ETC.
Summary, etc. Book Description<br/>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.<br/><br/>The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible.<br/><br/>Features<br/>• Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises<br/>• Describes statistical concepts clearly and concisely before applying them in R<br/>• Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Meta-analysis
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Cuijpers, Pim
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Ebert, David Daniel
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Bill No Bill Date Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Accession Number Date last seen Date checked out Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     IT & Decisions Sciences IN181 27-10-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 12/01/2022 Bharatiya Sahitya Bhavana 4445.37 1 610.727 HAR 003866 06/12/2023 03/21/2023 1 6761.02 12/01/2022 Book

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