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.
Rezensionen / Stimmen
"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)
Sprache
Verlagsort
Verlagsgruppe
Illustrationen
43
26 s/w Abbildungen, 43 farbige Abbildungen
X, 155 p. 69 illus., 43 illus. in color.
Dateigröße
ISBN-13
978-94-024-1696-1 (9789402416961)
DOI
10.1007/978-94-024-1696-1
Schweitzer Klassifikation
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.
