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Doing Meta-Analysis with R - Hardcover

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9780367610074: Doing Meta-Analysis with R
  • PublisherChapman and Hall/CRC
  • Publication date2021
  • ISBN 10 0367610078
  • ISBN 13 9780367610074
  • BindingHardcover
  • LanguageEnglish
  • Edition number1
  • Number of pages500
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    • 4.73 out of 5 stars
      11 ratings by Goodreads

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Harrer, Mathias; Cuijpers, Pim; Furukawa, Toshi A.; Ebert, David D.
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ISBN 10: 0367610078 ISBN 13: 9780367610074
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Mathias Harrer, Pim Cuijpers, Toshi A. Furukawa, David D. Ebert
Published by Routledge 2021-09-13, 2021
ISBN 10: 0367610078 ISBN 13: 9780367610074
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Harrer, Mathias; Cuijpers, Pim; Furukawa, Toshi; Ebert, David
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367610078 ISBN 13: 9780367610074
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Harrer, Mathias; Cuijpers, Pim; Furukawa, Toshi A.; Ebert, David D.
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367610078 ISBN 13: 9780367610074
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ISBN 10: 0367610078 ISBN 13: 9780367610074
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Harrer, Mathias; Cuijpers, Pim; Furukawa, Toshi; Ebert, David
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367610078 ISBN 13: 9780367610074
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Mathias Harrer
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ISBN 10: 0367610078 ISBN 13: 9780367610074
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Hardcover. Condition: new. Hardcover. 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.FeaturesContains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercisesDescribes statistical concepts clearly and concisely before applying them in RIncludes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780367610074

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Harrer, Mathias; Cuijpers, Pim; Furukawa, Toshi; Ebert, David
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367610078 ISBN 13: 9780367610074
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Mathias Harrer
Published by CRC Press, 2021
ISBN 10: 0367610078 ISBN 13: 9780367610074
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Harrer, Mathias; Cuijpers, Pim; Furukawa, Toshi; Ebert, David
Published by Chapman and Hall/CRC, 2021
ISBN 10: 0367610078 ISBN 13: 9780367610074
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