Whitehead Meta-Analysis of Controlled Clinical Trials

1. Auflage 2002
ISBN: 978-0-470-85419-8
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 352 Seiten, E-Book

Reihe: Statistics in Practice

Over the last twenty years there has been a dramatic upsurge in theapplication of meta-analysis to medical research. This has mainlybeen due to greater emphasis on evidence-based medicine and theneed for reliable summaries of the vast and expanding volume ofclinical research. At the same time there have been great stridesin the development and refinement of the associated statisticalmethodology. This book describes the planning, conduct andreporting of a meta-analysis as applied to a series of randomizedcontrolled clinical trials.
* The various approaches are presented within a general unifiedframework.
* Meta-analysis techniques are described in detail, from theirtheoretical development through to practical implementation.
* Each topic discussed is supported by detailed workedexamples.
* A comparison of fixed and random effects approaches is included,as well as a discussion of Bayesian methods and cumulativemeta-analysis.
* Fully documented programs using standard statistical proceduresin SAS are available on the Web.
Ideally suited for practising statisticians andstatistically-minded medical professionals, the book will also beof use to graduate students of medical statistics. The book is aself-contained and comprehensive account of the subject and anessential purchase for anyone involved in clinical trials.

Autoren/Hrsg.

Whitehead, Anne

Inhaltsverzeichnis

Introduction
Protocol development
Estimating the treatment difference in an individual trial
Combining estimates of a treatment difference across trials
Meta-analysis using individual patient data
Dealing with heterogeneity
Presentation and interpretation of results
Selection bias
Dealing with non-standard datasets
Inclusion of trials with different study designs
A Bayesian approach to meta-analysis
Sequential methods for meta-analysis
Appendix Methods of estimation and hypothesis testing