David Makowski, François Piraux, François Brun

From Experimental Network to Meta-analysis

Methods and Applications with R for Agronomic and Environmental Sciences

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Springer / Springer Netherlands / Éditions Quæ
• Artikelnr. des Verlages: 978-94-024-1695-4
• 1st ed. 2019
• Seitenzahl: 168
• Erscheinungstermin: 17. Mai 2019
• Englisch
• Abmessung: 241mm x 160mm x 15mm
• Gewicht: 424g
• ISBN-13: 9789402416954
• ISBN-10: 9402416951
• Artikelnr.: 55169485

Inhaltsangabe

Chapter 1. Introduction and examples.- Part I. Analysis of experimental networks.- Chapter 2. Basic Concepts.- Chapter 3. Analysis of network of experiments in blocks of complete randomness as a studied factor.- Chapter 4. Advanced Methods for Network Analysis.- Chapter 5. Planning an Experimental Network.- Part II. The meta-analysis.- Chapter 6. Basics for meta-analysis.- Chapter 7. Specific statistical problems for the meta-analysis.- Annex. R resources to implement the methods of analysis networks and meta-analysis.- Package Codes.

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Chapter 1. Introduction and examples.- Part I. Analysis of experimental networks.- Chapter 2. Basic Concepts.- Chapter 3. Analysis of network of experiments in blocks of complete randomness as a studied factor.- Chapter 4. Advanced Methods for Network Analysis.- Chapter 5. Planning an Experimental Network.- Part II. The meta-analysis.- Chapter 6. Basics for meta-analysis.- Chapter 7. Specific statistical problems for the meta-analysis.- Annex. R resources to implement the methods of analysis networks and meta-analysis.- Package Codes.

Rezensionen

"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)