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From Experimental Network to Meta-analysis

Methods and Applications with R for Agronomic and Environmental Sciences

  • Book
  • © 2019

Overview

Authors:
  1. David Makowski

    1. INRA, CIRED, CIRAD, AgroParisTech, University Paris-Saclay, Thiverval-Grignon, Nogent-sur-Marne, France

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  2. François Piraux

    1. Arvalis Institut du végétal, Boigneville, France

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    You can also search for this author in PubMed   Google Scholar

  3. François Brun

    1. ACTA, Castanet Tolosan, France

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  • This book shows the interest and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses
  • Each chapter exposes one or more methods and illustrates them with examples processed with the R software
  • Data and R codes are provided and commented on in order to facilitate their adaptation to other situations

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
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  2. Introduction and Examples

    • David Makowski, François Piraux, François Brun
    Pages 1-14

  3. Part I

    1. Front Matter

      Pages 15-15
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    2. Basic Notions

      • David Makowski, François Piraux, François Brun
      Pages 17-23

    3. Analysis of a Network of Randomized Complete Block Design Experiments with One Factor

      • David Makowski, François Piraux, François Brun
      Pages 25-58

    4. Advanced Methods for Network Analysis

      • David Makowski, François Piraux, François Brun
      Pages 59-94

    5. Planning an Experimental Network

      • David Makowski, François Piraux, François Brun
      Pages 95-102

  4. Part II

    1. Front Matter

      Pages 103-103
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    2. Basic Concepts in Meta-analysis

      • David Makowski, François Piraux, François Brun
      Pages 105-126

    3. Statistical Problems Specific to Meta-analysis

      • David Makowski, François Piraux, François Brun
      Pages 127-145

  5. Back Matter

    Pages 147-155
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Keywords

About this book

This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

Reviews

“I would recommend the Meta-analysis in medical research book, or the R meta-analysis tutorials that compare different R packages.” (Ramzi El Feghali, ISCB News, iscb.info, Issue 69, July, 2020)

Authors and Affiliations

  • INRA, CIRED, CIRAD, AgroParisTech, University Paris-Saclay, Thiverval-Grignon, Nogent-sur-Marne, France

    David Makowski

  • Arvalis Institut du végétal, Boigneville, France

    François Piraux

  • ACTA, Castanet Tolosan, France

    François Brun

Bibliographic Information

  • Book Title: From Experimental Network to Meta-analysis

  • Book Subtitle: Methods and Applications with R for Agronomic and Environmental Sciences

  • Authors: David Makowski, François Piraux, François Brun

  • DOI: https://doi.org/10.1007/978-94-024-1696-1

  • Publisher: Springer Dordrecht

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: �ditions Qu� 2019

  • Hardcover ISBN: 978-94-024-1695-4Published: 17 May 2019

  • eBook ISBN: 978-94-024-1696-1Published: 07 May 2019

  • Edition Number: 1

  • Number of Pages: X, 155

  • Number of Illustrations: 26 b/w illustrations, 43 illustrations in colour

  • Additional Information: Original French edition published by Éditions Quæ, 2018. Jointly published with Éditions Quæ, Versailles, France

  • Topics: Agriculture, Plant Sciences, Statistical Theory and Methods, Environmental Science and Engineering

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