Introduction to metaanalysis is an excellent resource for novices and experts alike. Introduction to meta analysis 2009 michael borenstein, larry v. The book starts with the motivating example of streptokinase, a blood clot buster. Introduction to metaanalysis michael borenstein, larry. Introduction to metaanalysis ebook written by michael borenstein, larry v. In this publication, we describe how to perform a meta analysis. Metaanalysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to metaanalysis by borenstein, michael ebook. It is illustrated with worked examples throughout, with visual explanations, using screenshots from excel spreadsheets and computer programs such as comprehensive metaanalysis cma or strata. He also helped to develop the bestselling software programs for statistical power analysis. Since the mid1990s, dr borenstein has lectured widely on metaanalysis.
As you move up the pyramid the amount of available literature on a given topic decreases, but the relevancy and quality of that literature increases. Introduction to metaanalysis by michael borenstein. He is the pi on several nih grants to develop software for metaanalysis and is the developer, with larry hedges, julian higgins, hannah rothstein and others, of comprehensive meta analysis, a bestselling computer program for metaanalysis. Mcdaniel, professor of human resources and organizational behavior, virginia commonwealth. This book provides a very clear overview of meta analysis what it is, why we use it, how to perform and interpret a meta analysis, and how to avoid common mistakes. The author shows how to identify questions that can be answered using metaanalysis, retrieve both published and unpublished studies, create a coding manual, use. Meta analysis is a very common way of bringing together data to help us decide which treatments might be best. These examples can serve as templates for reporting an analysis, while avoiding the mistakes discussed in earlier chapters. Subsequently, subsequently, 9 books appeared by 1990, 16 from 1991 to 2000, and 16 since 2000. Michael borenstein, director of biostatistical programming associates professor borenstein is the coeditor of the recently published wiley book publication bias in meta analysis, and has taught dozens of workshops on meta analysis.
Buy introduction to metaanalysis book online at low. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform metaanalysis with r. It examines the relations between the different kinds of treatment. This book discusses the history of metaanalysis over the past several decades how it emerged as a field, what role it has played in medicine and social science, and so on. In general, the use of meta analysis has been increasing over the last three decades with mental health as a major research topic. This paper provides an introduction to when and how to conduct a meta analysis.
This book comprehensively addresses all the relevant issues in computing treatment effects, including many not previously detailed in the literature. Such analyses are essentially observational, using trials as the unit of enrollment rather than individual patients. A meta analysis is a statistical procedure for combining numerical data from multiple separate studies. But, you have to take care when interpreting them theres a lot more to it than. There are many issues that researchers need to address in computing treatment effects, many of which have not been tackled thus far in the literature. The book includes a section with examples that show how to report the results of an analysis correctly. The book s author is the coauthor of the text introduction to metaanalysis, the bestselling text in this field. The book s author is the coauthor of the text introduction to meta analysis, the bestselling text in this field.
Download for offline reading, highlight, bookmark or take notes while you read introduction to metaanalysis. This book provides a clear and thorough introduction to metaanalysis, the process of synthesizing data from a series of separate studies. I just finished reading an excellent book on metaanalysis, introduction to meta analysis by borenstein et al. Meta analysis is widely accepted as the preferred method to synthesize research findings in various disciplines. Metaanalysis is the quantitative analysis of the results included in an sr. It is then essential to well understand its methodology and interpret its results. Objective meta analysis is of fundamental importance to obtain an unbiased assessment of the available evidence. Hunt is a journalist, and this book reads like an extended article in the science section of the new york times interesting, very well written, and informative. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to metaanalysis. Introduction to metaanalysis statistics in practice. The book is a great introduction to performing metaanalysis in r. Introduction to metaanalysis english edition ebook. Meta analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology.
It is often best to keep titles as short and descriptive as possible, by using the following formula. Critics may object to my statement that metaanalysis involves material good, bad, and indifferent, but consider the study by smith et al discussed in more detail later, which numbered among its authors the originator of the term. Metaanalysis methods 344 example of psychometric metaanalysis 346 comparison of artifact correction with metaregression 348 sources of information about artifact values 349 how heterogeneity is assessed 349 reporting in psychometric metaanalysis 350 concluding remarks 351 summary points 351 part 9. Introduction to metaanalysis by michael borenstein, larry. Introduction to metaanalysis 21 it is also possible to classify meta analysis studies into one of two categories. Metaanalysis is a research process used to systematically synthesise or merge the. In practice, this implies the combination of the results of several individual clinical trials using specialized statistical methodology. The purpose of this commentary is to expand on existing articles describing metaanalysis interpretation,6,14,42,61 discuss differences in the results of a metaanalysis based on the treatment questions, explore special cases in the use of metaanalysis, and. Early studies showed conflicting evidence of efficacy of the drug in preventing death following a heart attack. The statistical analysis of a large collection of analysis results for the purpose of integrating the. This book provides a comprehensive introduction to performing metaanalysis using the statistical software r. Common mistakes in metaanalysis and how to avoid them.
788 300 979 876 496 168 298 934 738 641 293 500 576 919 1442 848 927 1276 1173 175 701 366 439 890 401 883 695 1386 162 188 1048 301 1435 398