02954nam 2200673 450 991067754170332120221108192032.01-119-96437-71-282-12343-297866121234361-118-30334-20-470-74338-70-470-74337-9(CKB)1000000000719671(EBL)427912(SSID)ssj0000354378(PQKBManifestationID)11264315(PQKBTitleCode)TC0000354378(PQKBWorkID)10315156(PQKB)11595293(MiAaPQ)EBC427912(MiAaPQ)EBC4041330(Au-PeEL)EBL4041330(CaPaEBR)ebr11114234(PPN)199336814(OCoLC)352835868(EXLCZ)99100000000071967120081017d2009 uy 0engurcn#---|||||rdacontentrdamediardacarrierIntroduction to meta-analysis /Michael 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, USAChichester, West Sussex, U.K. ;Hoboken :John Wiley & Sons,2009.1 online resource (453 pages)0-470-05724-6 Includes bibliographical references (pages [409]-414) and index.pt. 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.This 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 inMeta-analysisMeta-analysis.300.72610.72CM 3400rvkSK 850rvkSOZ 720fstubBorenstein Michael1339926Hedges Larry VHiggins Julian P. T.Rothstein Hannah R.MiAaPQMiAaPQMiAaPQCaOWtUBOOK9910677541703321Introduction to meta-analysis3061388UNINA