Methods for Meta-Analysis in Medical Research

Autore del Libro: Alexander J. Sutton, Keith R. Abrams, David R. Jones, Trevor A. Sheldon, Fujian Song
Categoria del Libro: ,
Compralo a circa (128.53 €) su: Amazon
Numero di Pagine: 317
Editore: John Wiley & Sons Inc Print on; 1 edizione (27 dicembre 2000)
Collana: Wiley Series in Probability and Mathematical Statistics - Applied Probability and Statistics Section
Lingua: Inglese
ISBN-10: 0471490660
ISBN-13: 978-0471490661
Peso Spedizione: 640 g

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.