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Methods for Meta–analysis in Medical Research: Wiley Series in Probability and Statistics - Applied Probability and Statistics Section

Autor AJ Sutton
en Limba Engleză Hardback – 23 oct 2000
With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field.
Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical treatments. The move towards evidence-based health care and practice is underpinned by the use of meta-analysis. This book:
* Provides a thorough criticism and an up-to-date survey of meta-analysis methods
* Emphasises the practical approach, and illustrates the methods by numerous examples
* Describes the use of Bayesian methods in meta-analysis
* Includes discussion of appropriate software for each analysis
* Includes numerous references to more advanced treatment of specialist topics
* Refers to software code used in the examples available on the authors' Web site
Practising statisticians, statistically-minded clinicians and health research professionals will benefit greatly from the clear presentation and numerous examples. Medical researchers will grasp the basic principles of meta-analysis, and learn how to apply the various methods.
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Specificații

ISBN-13: 9780471490661
ISBN-10: 0471490660
Pagini: 348
Dimensiuni: 156 x 234 x 22 mm
Greutate: 0.61 kg
Editura: Wiley
Seria Wiley Series in Probability and Statistics - Applied Probability and Statistics Section

Locul publicării:Chichester, United Kingdom

Public țintă

This text is aimed at the specialist market; for Practicing Statisticians, Statistically Minded Clinicians and Health Research Professionals.

Cuprins


Descriere

With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field. Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical treatments.