[PDF] Handbook Of Meta Analysis In Ecology And Evolution eBook

Author : Julia Koricheva
Publisher : Princeton University Press
Page : 514 pages
File Size : 32,59 MB
Release : 2013-04-21
Category : Mathematics
ISBN : 0691137293

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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. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets

Author : Julia Koricheva
Publisher : Princeton University Press
Page : 515 pages
File Size : 45,16 MB
Release : 2013-04-21
Category : Science
ISBN : 1400846188

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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. The chapters, written by renowned experts, walk readers through every step of meta-analysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using meta-analysis for research synthesis and the potential pitfalls and limitations of meta-analysis (including when it should not be used). Different approaches to carrying out a meta-analysis are described, and include moment and least-square, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This one-of-a-kind resource is uniquely tailored to the biological sciences, and will provide an invaluable text for practitioners from graduate students and senior scientists to policymakers in conservation and environmental management. Walks you through every step of carrying out a meta-analysis in ecology and evolutionary biology, from problem formulation to result presentation Brings together experts from a broad range of fields Shows how to avoid, minimize, or resolve pitfalls such as missing data, publication bias, varying data quality, nonindependence of observations, and phylogenetic dependencies among species Helps you choose the right software Draws on numerous examples based on real biological datasets

Author : Francesco de Bello
Publisher : Cambridge University Press
Page : 311 pages
File Size : 27,37 MB
Release : 2021-03-11
Category : Nature
ISBN : 1108472915

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Trait-based ecology is rapidly expanding. This comprehensive and accessible guide covers the main concepts and tools in functional ecology.

Author : Roger S. Gottlieb
Publisher : OUP USA
Page : 685 pages
File Size : 34,39 MB
Release : 2006-11-09
Category : Nature
ISBN : 0195178726

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Ecologically oriented visions of God, the Sacred, the Earth, and human beings. The proposed handbook will serve as the definitive overview of these exciting new developments. Divided into three main sections, the books essays will reflect the three dominant dimensions of the field. Part I will explore

Author : Rosemary Lynn Hopcroft
Publisher : Oxford University Press
Page : 705 pages
File Size : 16,39 MB
Release : 2018
Category : Science
ISBN : 0190299320

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This book contains an overview of research on the interaction of biological and sociological processes. Issues explored include: the origins of social solidarity; religious beliefs; sex differences; gender inequality; human happiness; social stratification and inequality; identity, status, and other group processes; race, ethnicity, and discrimination; fertility and family processes; crime and deviance; cultural and social change.

Author : Christopher H. Schmid
Publisher : CRC Press
Page : 570 pages
File Size : 50,47 MB
Release : 2020-09-07
Category : Mathematics
ISBN : 1498703992

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1. Provides a comprehensive overview of meta-analysis methods and applications. 2. Divided into four major sub-topics, covering univariate meta-analysis, multivariate, applications and policy. 3. Designed to be suitable for graduate students and researchers new to the field. 4. Includes lots of real examples, with data and software code made available. 5. Chapters written by the leading researchers in the field.

Author : Dankmar Bohning
Publisher : CRC Press
Page : 207 pages
File Size : 19,76 MB
Release : 2008-03-27
Category : Mathematics
ISBN : 1420011332

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Providing reliable information on an intervention effect, meta-analysis is a powerful statistical tool for analyzing and combining results from individual studies. Meta-Analysis of Binary Data Using Profile Likelihood focuses on the analysis and modeling of a meta-analysis with individually pooled data (MAIPD). It presents a unifying approac

Author : Todd K. Shackelford
Publisher : Oxford University Press, USA
Page : 564 pages
File Size : 41,30 MB
Release : 2012-08-23
Category : History
ISBN : 0199738408

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This volume synthesizes the theoretical and empirical work of leading scholars in the evolutionary sciences to produce an extensive and authoritative review of this literature.

Author : Samuel M. Scheiner
Publisher : Oxford University Press
Page : 432 pages
File Size : 41,23 MB
Release : 2001-04-26
Category : Science
ISBN : 0198030223

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Ecological research and the way that ecologists use statistics continues to change rapidly. This second edition of the best-selling Design and Analysis of Ecological Experiments leads these trends with an update of this now-standard reference book, with a discussion of the latest developments in experimental ecology and statistical practice. The goal of this volume is to encourage the correct use of some of the more well known statistical techniques and to make some of the less well known but potentially very useful techniques available. Chapters from the first edition have been substantially revised and new chapters have been added. Readers are introduced to statistical techniques that may be unfamiliar to many ecologists, including power analysis, logistic regression, randomization tests and empirical Bayesian analysis. In addition, a strong foundation is laid in more established statistical techniques in ecology including exploratory data analysis, spatial statistics, path analysis and meta-analysis. Each technique is presented in the context of resolving an ecological issue. Anyone from graduate students to established research ecologists will find a great deal of new practical and useful information in this current edition.

Author : Leonard Jason
Publisher : Oxford University Press
Page : 409 pages
File Size : 23,20 MB
Release : 2016
Category : Education
ISBN : 0190243651

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The Handbook of Methodological Approaches to Community-Based Research is intended to aid the community-oriented researcher in learning about and applying cutting-edge quantitative, qualitative, and mixed methods approaches.