Автор: Julia Koricheva, Jessica Gurevitch, Kerrie Mengersen Название: Handbook of Meta-analysis in Ecology and Evolution Издательство: Princeton University Press Год: 2013 ISBN: 978-0691137292 Язык: English Формат: pdf Размер: 21,8 mb Страниц: 520
Meta-analysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of meta-analysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an up-to-date guide for experienced meta-analysts.
1. Place of Meta-analysis among Other Methods of Research Synthesis 3 Julia Koricheva and Jessica Gurevitch 2. The Procedure of Meta-analysis in a Nutshell 14 Isabelle M. Côté and Michael D. Jennions
Section II : Initiating a Meta-analysis
3. First Steps in Beginning a Meta-analysis 27 Gavin B. Stewart, Isabelle M. Côté, Hannah R. Rothstein, and Peter S. Curtis 4. Gathering data: Searching Literature and Selection Criteria 37 Isabelle M. Côté, Peter S. Curtis, Hannah R. Rothstein, and Gavin B. Stewart 5. Extraction and Critical Appraisal of Data 52 Peter S. Curtis, Kerrie Mengersen, Marc J. Lajeunesse, Hannah R. Rothstein, and Gavin B. Stewart 6. Effect Sizes: Conventional Choices and Calculations 61 Michael S. Rosenberg, Hannah R. Rothstein, and Jessica Gurevitch 7. Using Other Metrics of Effect Size in Meta-analysis 72 Kerrie Mengersen and Jessica Gurevitch
Section III : Essential Analytic Models and Methods
8. Statistical Models and Approaches to Inference 89 Kerrie Mengersen, Christopher H. Schmid, Michael D. Jennions, and Jessica Gurevitch 9. Moment and Least-Squares Based Approaches to Meta-analytic Inference 108 Michael S. Rosenberg 10. Maximum Likelihood Approaches to Meta-analysis 125 Kerrie Mengersen and Christopher H. Schmid 11. Bayesian Meta-analysis 145 Christopher H. Schmid and Kerrie Mengersen 12. Software for Statistical Meta-analysis 174 Christopher H. Schmid, Gavin B. Stewart, Hannah R. Rothstein, Marc J. Lajeunesse, and Jessica Gurevitch
Section IV: Statistical Issues and Problems
13. Recovering Missing or Partial Data from Studies: A Survey of Conversions and Imputations for Meta-analysis 195 Marc J. Lajeunesse 14. Publication and Related Biases 207 Michael D. Jennions, Christopher J. Lortie, Michael S. Rosenberg, and Hannah R. Rothstein 15. Temporal Trends in Effect Sizes: Causes, Detection, and Implications 237 Julia Koricheva, Michael D. Jennions, and Joseph Lau 16. Statistical Models for the Meta-analysis of Nonindependent Data 255 Kerrie Mengersen, Michael D. Jennions, and Christopher H. Schmid 17. Phylogenetic Nonindependence and Meta-analysis 284 Marc J. Lajeunesse, Michael S. Rosenberg, and Michael D. Jennions 18. Meta-analysis of Primary Data 300 Kerrie Mengersen, Jessica Gurevitch, and Christopher H. Schmid 19. Meta-analysis of Results from Multisite Studies 313 Jessica Gurevitch
Section V: Presentation and Interpretation of Results
20. Quality Standards for Research Syntheses 323 Hannah R. Rothstein, Christopher J. Lortie, Gavin B. Stewart, Julia Koricheva, and Jessica Gurevitch 21. Graphical Presentation of Results 339 Christopher J. Lortie, Joseph Lau, and Marc J. Lajeunesse 22. Power Statistics for Meta-analysis: Tests for Mean Effects and Homogeneity 348 Marc J. Lajeunesse 23. Role of Meta-analysis in Interpreting the Scientific Literature 364 Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva 24. Using Meta-analysis to Test Ecological and Evolutionary Theory 381 Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva
Section VI: Contributions of Meta-analysis in Ecology and Evolution 25. History and Progress of Meta-analysis 407 Joseph Lau, Hannah R. Rothstein, and Gavin B. Stewart 26. Contributions of Meta-analysis to Conservation and Management 420 Isabelle M. Côté and Gavin B. Stewart 27. Conclusions: Past, Present, and Future of Meta-analysis in Ecology and Evolution 426 Jessica Gurevitch and Julia Koricheva
Glossary 433 Frequently Asked Questions 441 References 447 List of Contributors 487 Subject Index 489
