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101 0 $aeng
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181   $2rdacontent
182   $2rdamedia
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200 10$aIntroduction to meta-analysis /$fMichael Borenstein, Biostat, Inc, New Jersey, USA ; Larry V. Hedges, Northwestern University, Evanston, USA ; Julian P.T. Higgins, MRC, Cambridge, UK ; Hannah R. Rothstein, Baruch College, New York, USA
210  1$aChichester, West Sussex, U.K. ;$aHoboken :$cJohn Wiley & Sons,$d2009.
215   $a1 online resource (453 pages)
311 1 $a0-470-05724-6 
320   $aIncludes bibliographical references (pages [409]-414) and index.
327   $apt. 1. Introduction -- pt. 2. Effect size and precision -- pt. 3. Fixed-effect versus random-effects models -- pt. 4. Heterogeneity -- pt. 5. Complex data structures -- pt. 6. Other issues -- pt. 7. Issues related to effect size -- pt. 8. Further methods -- pt. 9. Meta-analysis in context -- pt. 10. Resources and software.
330   $aThis book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis:Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in
606   $aMeta-analysis
615  0$aMeta-analysis.
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700   $aBorenstein$b Michael$0921753
702   $aHedges$b Larry V
702   $aHiggins$b Julian P. T.
702   $aRothstein$b Hannah R.
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801  1$bMiAaPQ
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906   $aBOOK
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996   $aIntroduction to meta-analysis$92068022
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