Cargando…

Handbook of Meta-analysis in Ecology and Evolution /

"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...

Descripción completa

Detalles Bibliográficos
Otros Autores: Mengersen, Kerrie L. (Editor ), Gurevitch, Jessica (Editor ), Koricheva, Julia, 1967- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Princeton : Princeton University Press, 2013.
Colección:Book collections on Project MUSE.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Place of meta-analysis among other methods of research synthesis / Julia Koricheva and Jessica Gurevitch
  • The procedure of meta-analysis in a nutshell / Isabelle M. Côte and Michael D. Jennions
  • First steps in beginning a meta-analysis / Gavin B. Stewart, Isabelle M. Côte, Hannah R. Rothstein, and Peter S. Curtis
  • Gathering data : searching literature and selection criteria / Isabelle M. Côte, Peter S. Curtis, Hannah R. Rothstein, and Gavin B. Stewart
  • Extraction and critical appraisal of data / Peter S. Curtis, Kerrie Mengersen, Marc J. Lajeunesse, Hannah R. Rothstein, and Gavin B. Stewart
  • Effect sizes : conventional choices and calculations / Michael S. Rosenberg, Hannah R. Rothstein, and Jessica Gurevitch
  • Using other metrics of effect size in meta-analysis / Kerrie Mengersen and Jessica Gurevitch
  • Statistical models and approaches to inference / Kerrie Mengersen, Christopher H. Schmid, Michael D. Jennions, and Jessica Gurevitch
  • Moment and least-squares based approaches to meta-analytic inference / Michael S. Rosenberg
  • Maximum likelihood approaches to meta-analysis / Kerrie Mengersen and Christopher H. Schmid
  • Bayesian meta-analysis / Christopher H. Schmid and Kerrie Mengersen
  • Software for statistical meta-analysis / Christopher H. Schmid, Gavin B. Stewart, Hannah R. Rothstein, Marc J. Lajeunesse, and Jessica Gurevitch
  • Recovering missing or partial data from studies : a survey of conversions and imputations for meta-analysis / Marc J. Lajeunesse
  • Publication and related biases / Michael D. Jennions, Christopher J. Lortie, Michael S. Rosenberg, and Hannah R. Rothstein
  • Temporal trends in effect sizes : causes, detection, and implications / Julia Koricheva, Michael D. Jennions, and Joseph Lau
  • Statistical models for the meta-analysis of nonindependent data / Kerrie Mengersen, Michael D. Jennions, and Christopher H. Schmid
  • Phylogenetic nonindependence and meta-analysis / Marc J. Lajeunesse, Michael S. Rosenberg, and Michael D. Jennions
  • Meta-analysis of primary data / Kerrie Mengersen, Jessica Gurevitch, and Christopher H. Schmid
  • Meta-analysis of results from multisite studies / Jessica Gurevitch
  • Quality standards for research syntheses / Hannah R. Rothstein, Christopher J. Lortie, Gavin B. Stewart, Julia Koricheva, and Jessica Gurevitch
  • Graphical presentation of results / Christopher J. Lortie, Joseph Lau, and Marc J. Lajeunesse
  • Power statistics for meta-analysis : tests for mean effects and homogeneity / Marc J. Lajeunesse
  • Role of meta-analysis in interpreting the scientific literature / Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva
  • Using meta-analysis to test ecological and evolutionary theory / Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva
  • History and progress of meta-analysis / Joseph Lau, Hannah R. Rothstein, and Gavin B. Stewart
  • Contributions of meta-analysis to conservation and management / Isabelle M. Côte and Gavin B. Stewart
  • Conclusions : past, present, and future of meta-analysis in ecology and evolution / Jessica Gurevitch and Julia Koricheva.