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Meta–Analysis of Controlled Clinical Trials: Statistics in Practice

Autor A Whitehead
en Limba Engleză Hardback – 15 iul 2002
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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Specificații

ISBN-13: 9780471983705
ISBN-10: 0471983705
Pagini: 352
Dimensiuni: 161 x 244 x 24 mm
Greutate: 0.63 kg
Editura: Wiley
Seria Statistics in Practice

Locul publicării:Chichester, United Kingdom

Public țintă

Practising statisticians and statistically minded clinicians and health professionals.

Cuprins


Notă biografică

Anne Whitehead is Senior Lecturer in Modern and Contemporary Literature at Newcastle University, UK. She is the author of many books.


Descriere

Meta--analysis is one of the main statistical methods used in clinical trials. Previous accounts of meta--analysis have given the impression that the topic is a series of separate techniques. This book provides a unified approach, developing the subject from mathematical theory through to practical discussions of implementation.