Demonstrates how to assess and interpret variation in effect size across studies.Explains the fixed-effect and random-effects models for synthesizing data.Shows how to compute effects sizes and treatment effects.Outlines the role of meta-analysis in the research process.Written by four of the world’s foremost authorities on all aspects of meta-analysis, the new edition: Several brand-new chapters provide a systematic "how to" approach to performing and reporting a meta-analysis from start to finish. The fully updated second edition includes new and expanded content on avoiding common mistakes in meta-analysis, understanding heterogeneity in effects, publication bias, and more. 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. This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. In the course we build on this approach, using Excel, CMA, and interactive graphs to show how changes in the studies impact the study weights, the summary effect, and other statistics. This is the same approach that we will be taking in the course. That is, we make an intuitive argument that the meta-analysis should work in a particular way, and then show how the formula matches this goal. Importantly, we use the formulas to inform the concepts. While the book focuses on concepts, it also includes all the relevant formulas. In fact, this has been Amazon's best-selling book on Meta-Analysis since the 1st edition was released, and to date has sold more than 12,000 copies. The book takes a conceptual approach to meta-analysis, and for this reason has been widely embraced by the research community. #We used comprehensive meta analysis for how to#![]() This workshop is based on the book Introduction to Meta-Analysis (Michael Borenstein, Larry V Hedges, Julian PT Higgins, Hannah Rothstein), which was written with funding from NIH and published by Wiley in 2009. Introduction to Meta-Analysis, 2nd Edition
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