Item Details
Handbook of MetaAnalysis in Ecology and Evolution
edited by Julia Koricheva, Jessica Gurevitch, and Kerrie Mengersen
 Format
 Book
 Published
 Princeton : Princeton University Press, [2013]
 Language
 English
 ISBN
 9780691137285, 0691137285, 9780691137292, 0691137293
 Summary
 "Metaanalysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of metaanalysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an uptodate guide for experienced metaanalysts. The chapters, written by renowned experts, walk readers through every step of metaanalysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using metaanalysis for research synthesis and the potential pitfalls and limitations of metaanalysis (including when it should not be used). Different approaches to carrying out a metaanalysis are described, and include moment and leastsquare, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This oneofakind 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 metaanalysis 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 "
 Contents
 Place of metaanalysis among other methods of research synthesis / Julia Koricheva and Jessica Gurevitch
 The procedure of metaanalysis in a nutshell / Isabelle M. Côté and Michael D. Jennions
 First steps in beginning a metaanalysis / Gavin B. Stewart, Isabelle M. Côté, Hannah R. Rothstein, and Peter S. Curtis
 Gathering data : searching literature and selection criteria / Isabelle M. Côté, 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 metaanalysis / Kerrie Mengersen and Jessica Gurevitch
 Statistical models and approaches to inference / Kerrie Mengersen, Christopher H. Schmid, Michael D. Jennions, and Jessica Gurevitch
 Moment and leastsquares based approaches to metaanalytic inference / Michael S. Rosenberg
 Maximum likelihood approaches to metaanalysis / Kerrie Mengersen and Christopher H. Schmid
 Bayesian metaanalysis / Christopher H. Schmid and Kerrie Mengersen
 Software for statistical metaanalysis / 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 metaanalysis / 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 metaanalysis of nonindependent data / Kerrie Mengersen, Michael D. Jennions, and Christopher H. Schmid
 Phylogenetic nonindependence and metaanalysis / Marc J. Lajeunesse, Michael S. Rosenberg, and Michael D. Jennions
 Metaanalysis of primary data / Kerrie Mengersen, Jessica Gurevitch, and Christopher H. Schmid
 Metaanalysis 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 metaanalysis : tests for mean effects and homogeneity / Marc J. Lajeunesse
 Role of metaanalysis in interpreting the scientific literature / Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva
 Using metaanalysis to test ecological and evolutionary theory / Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva
 History and progress of metaanalysis / Joseph Lau, Hannah R. Rothstein, and Gavin B. Stewart
 Contributions of metaanalysis to conservation and management / Isabelle M. Côté and Gavin B. Stewart
 Conclusions : past, present, and future of metaanalysis in ecology and evolution / Jessica Gurevitch and Julia Koricheva.
 Description
 xv, 498 pages : illustrations ; 26 cm
 Notes
 Includes bibliographical references (pages 447485) and index.
 Technical Details

 Access in Virgo Classic
 Staff View
LEADER 06809cam a2200541 i 4500001 u6191489003 SIRSI005 20140205084130.0008 130123s2013 njua b 001 0 enga 2012041108a 820118767 a 820123443a 9780691137285 q hardbacka 0691137285 q hardbacka 9780691137292 q paperbacka 0691137293 q paperbacka 40022187207a (Sirsi) o820123442a (OCoLC)820123442 z (OCoLC)820118767 z (OCoLC)820123443a pcca DLC b eng e rda c DLC d IG# d YDXCP d BTCTA d BDX d YAM d OCLCO d BWX d CDX d YUS d MUU d UKMGB d OCLCFa QH541.15.S72 b H36 2013a 576.8 2 23a SCI020000 a SCI027000 a MAT029000 2 bisacsha Handbook of metaanalysis in ecology and evolution / c edited by Julia Koricheva, Jessica Gurevitch, and Kerrie Mengersen.a Princeton : b Princeton University Press, c [2013]a xv, 498 pages : b illustrations ; c 26 cma text 2 rdacontenta unmediated 2 rdamediaa volume 2 rdacarriera "Metaanalysis is a powerful statistical methodology for synthesizing research evidence across independent studies. This is the first comprehensive handbook of metaanalysis written specifically for ecologists and evolutionary biologists, and it provides an invaluable introduction for beginners as well as an uptodate guide for experienced metaanalysts. The chapters, written by renowned experts, walk readers through every step of metaanalysis, from problem formulation to the presentation of the results. The handbook identifies both the advantages of using metaanalysis for research synthesis and the potential pitfalls and limitations of metaanalysis (including when it should not be used). Different approaches to carrying out a metaanalysis are described, and include moment and leastsquare, maximum likelihood, and Bayesian approaches, all illustrated using worked examples based on real biological datasets. This oneofakind 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 metaanalysis 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 " c Provided by publisher.a Includes bibliographical references (pages 447485) and index.a Place of metaanalysis among other methods of research synthesis / Julia Koricheva and Jessica Gurevitch  The procedure of metaanalysis in a nutshell / Isabelle M. Côté and Michael D. Jennions  First steps in beginning a metaanalysis / Gavin B. Stewart, Isabelle M. Côté, Hannah R. Rothstein, and Peter S. Curtis  Gathering data : searching literature and selection criteria / Isabelle M. Côté, 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 metaanalysis / Kerrie Mengersen and Jessica Gurevitch  Statistical models and approaches to inference / Kerrie Mengersen, Christopher H. Schmid, Michael D. Jennions, and Jessica Gurevitch  Moment and leastsquares based approaches to metaanalytic inference / Michael S. Rosenberg  Maximum likelihood approaches to metaanalysis / Kerrie Mengersen and Christopher H. Schmid  Bayesian metaanalysis / Christopher H. Schmid and Kerrie Mengersen  Software for statistical metaanalysis / 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 metaanalysis / 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 metaanalysis of nonindependent data / Kerrie Mengersen, Michael D. Jennions, and Christopher H. Schmid  Phylogenetic nonindependence and metaanalysis / Marc J. Lajeunesse, Michael S. Rosenberg, and Michael D. Jennions  Metaanalysis of primary data / Kerrie Mengersen, Jessica Gurevitch, and Christopher H. Schmid  Metaanalysis 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 metaanalysis : tests for mean effects and homogeneity / Marc J. Lajeunesse  Role of metaanalysis in interpreting the scientific literature / Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva  Using metaanalysis to test ecological and evolutionary theory / Michael D. Jennions, Christopher J. Lortie, and Julia Koricheva  History and progress of metaanalysis / Joseph Lau, Hannah R. Rothstein, and Gavin B. Stewart  Contributions of metaanalysis to conservation and management / Isabelle M. Côté and Gavin B. Stewart  Conclusions : past, present, and future of metaanalysis in ecology and evolution / Jessica Gurevitch and Julia Koricheva.a Ecology x Statistical methods.a Evolution x Mathematical models.a Metaanalysis.a SCIENCE / Life Sciences / Ecology. 2 bisacsha SCIENCE / Life Sciences / Evolution. 2 bisacsha MATHEMATICS / Probability & Statistics / General. 2 bisacsha Ecology x Statistical methods. 2 fast 0 (OCoLC)fst00901539a Evolution x Mathematical models. 2 fast 0 (OCoLC)fst00917273a Metaanalysis. 2 fast 0 (OCoLC)fst01017463a Koricheva, Julia, d 1967a Gurevitch, Jessica.a Mengersen, Kerrie, d 1962a Z0 b VA@a 18a QH541.15 .S72 H36 2013 w LC i X031580127 l STACKS m BLANDY t BOOK
Availability
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Blandy  Stacks  N/A  Available 
QH541.15 .S72 H36 2013 