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Introduction to Meta-Analysis
Hoofdkenmerken
Auteur: Michael Borenstein; Larry V. Hedges; Julian P. T. Higgins; Hannah R. Rothstein
Titel: Introduction to Meta-Analysis
Uitgever: Wiley Professional Development (P&T)
ISBN: 9781119558392
ISBN boekversie: 9781119558354
Editie: 2
Prijs: € 65.93
Verschijningsdatum: 20-04-2021
Inhoudelijke kenmerken
Categorie: Biostatistics
Taal: English
Imprint: John Wiley \u0026 Sons P\u0026T
Technische kenmerken
Verschijningsvorm: E-book
 

Inhoudsopgave:

\u003chtml\u003e\u003cp\u003e\u003cb\u003eThe new edition of the market-leading textbook, covering the latest developments in the rapidly growing field of meta-analysis \u003c/b\u003e\u003c/p\u003e \u003cp\u003eThis book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field.  The fully updated second edition includes new and expanded content on avoiding common mistakes in meta-analysis, understanding heterogeneity in effects, publication bias, reporting the Knapp-Hartung Sidik-Jonkman adjustment, and more. Several brand-new chapters provide a systematic \u0026ldquo;how to\u0026rdquo; approach to performing and reporting a meta-analysis from start to finish.  \u003c/p\u003e \u003cp\u003eWritten by four of the world\u0026rsquo;s foremost authorities on all aspects of meta-analysis, the new edition of \u003ci\u003eIntroduction to Meta-Analysis: \u003c/i\u003e\u003c/p\u003e \u003cul\u003e \u003cli\u003eOutlines the role of meta-analysis in the research process \u003c/li\u003e \u003cli\u003eShows how to compute effects sizes and treatment effects \u003c/li\u003e \u003cli\u003eExplains the fixed-effect and random-effects models for synthesizing data \u003c/li\u003e \u003cli\u003eDemonstrates how to assess and interpret variation in effect size across studies \u003c/li\u003e \u003cli\u003eExplains how to avoid common mistakes in meta-analysis \u003c/li\u003e \u003cli\u003eDiscusses controversies in meta-analysis \u003c/li\u003e \u003cli\u003eIncludes access to a companion website containing videos, spreadsheets, data files, free software for prediction intervals, and step-by-step instructions for performing analyses using Comprehensive Meta-Analysis (CMA) \u0026trade; \u003c/li\u003e \u003c/ul\u003e\u003c/html\u003e
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