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Home > Education > Mathematics > Meta-Analysis of Controlled Clinical Trials-eBook
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Over the last twenty years there has been a dramatic upsurge in the application of meta-analysis to medical research. This has mainly been due to greater emphasis on evidence-based medicine and the need for reliable summaries of the vast and expanding volume of clinical research. At the same time there have been great strides in the development and refinement of the associated statistical methodology. This book describes the planning, conduct and reporting of a meta-analysis as applied to a series of randomized controlled clinical trials. The various approaches are presented within a general unified framework. Meta-analysis techniques are described in detail, from their theoretical development through to practical implementation. Each topic discussed is supported by detailed worked examples. A comparison of fixed and random effects approaches is included, as well as a discussion of Bayesian methods and cumulative meta-analysis. Fully documented programs using standard statistical procedures in SAS are available on the Web. Ideally suited for practising statisticians and statistically-minded medical professionals, the book will also be of use to graduate students of medical statistics. The book is a self-contained and comprehensive account of the subject and an essential purchase for anyone involved in clinical trials.
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Title of ebook: Meta-Analysis of Controlled Clinical Trials
ISBN: 9780470854198
Publisher: John Wiley & Sons, Inc.
Internet download file size: 1574 kb
Released online for download: 08-09-2002
Author of eBook: Whitehead, Anne


Chapter One
Introduction

1.1 THE ROLE OF META ANALYSIS

Meta analysis was defined by Glass (1976) to be 'the statistical analysis of a large collection of analysis results from individual studies for the purpose of integrating the findings'. Although Glass was involved in social science research, the term 'meta analysis' has been adopted within other disciplines and has proved particularly popular in clinical research. Some of the techniques of meta analysis have been in use for far longer. Pearson (1904) applied a method for summarizing correlation coefficients from studies of typhoid vaccination, Tippet (1931) and Fisher (1932) presented methods for combining p values, and Yates and Cochran (1938) considered the combination of estimates from different agricultural experiments. However, the introduction of a name for this collection of techniques appears to have led to an upsurge in development and application.

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