The book’s author is the co-author of the text Introduction to Meta-Analysis, the best-selling text in this field. These examples can serve as templates for reporting an analysis, while avoiding the mistakes discussed in earlier chapters. The book includes a section with examples that show how to report the results of an analysis correctly. The examples show the real-world consequences of the mistakes, explaining (for example) how the mistakes can lead to the adoption of interventions that may actually be harmful in some populations. The book is intended primarily for researchers, and so the discussion is conceptual rather than statistical. For each, it explains why it is a mistake, the implications of the mistake, and how to avoid the mistake. This book outlines the most common mistakes, using examples in medicine, epidemiology, education, psychology, criminal justice, and other fields. Among the thousands of meta-analyses that have been published over the past several decades, there are a number of mistakes that appear on a fairly regular basis.
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