Special Edition Introduction to Meta-Analysis with FREE MOBI EDITION Download Now!

Best Edition Introduction to Meta-Analysis with Free EASY Reading Download Now!

 4,7

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Best Edition Introduction to Meta-Analysis with Free EASY Reading Download Now!

This 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, and more. Several brand-new chapters provide a systematic “how to” approach to performing and reporting a meta-analysis from start to finish. Written by four of the world’s foremost authorities on all aspects of meta-analysis, the new edition: 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 effect size across studies Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Includes 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)™ Download videos, class materials, and worked examples at www.Introduction-to-Meta-Analysis.com    

At this time of writing, The Mobi Introduction to Meta-Analysis has garnered 9 customer reviews with rating of 5 out of 5 stars. Not a bad score at all as if you round it off, it’s actually a perfect TEN already. From the looks of that rating, we can say the Mobi is Good TO READ!

Best Edition Introduction to Meta-Analysis with Free EASY Reading!

My background is MBBS and master in epidemiology. At work I am required to produce a meta-analysis. This book is by far the best one on meta-analysis I've come across. For example for the topic of "random effect model", I search the net and read about 10 difference sources. Spent 10 hours, still didn't understand it. Two weeks later, I still had to find an answer to "What is random effect model". So happens this book offers a free chapter exactly on comparing fixed and random effect models. That chapter was very easy to understand, plus it went into adequate depth for me, plus it gave very nice working examples. This is fantastic. This book is good because it explains difficult concepts using simple language, repeats difficult points multiple times using different ways to explain. He shows you theoretical formulae, then he gives you actual examples with numbers to plug into the formulae. Very well written. I only wish he covered ANOVA and Multiple regression in a dedicated chapter, explain them from ground up, in simple terms, go into depth, and show examples. In the book he indicates ANOVA & Regression are beyond the scope of the book. Please do make it part of the book, make it a whole separate chapter please.

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