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Methods for Meta-analysis in Medical Res: 387 (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section) - Tapa dura
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Alex Sutton has published extensively on meta-analysis methodology generally, and on publication bias specifically in recent years, including a major systematic review on the topic of the methodology that has been developed for meta-analysis. He currently has an active interest in the area of partially reported study information, which is currently under-researched. Dr. Sutton is co-author of a textbook on metaanalysis (Methods for Meta Analysis in Medical Research), which was published by Wiley in 2000.
De la contraportada
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. Meta-analysis methods play a crucial role in health research and have been developed substantially over the last five years.
* 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.
"Sobre este título" puede pertenecer a otra edición de este libro.
- EditorialJohn Wiley & Sons
- Año de publicación2000
- ISBN 10 0471490660
- ISBN 13 9780471490661
- EncuadernaciónTapa dura
- IdiomaInglés
- Número de páginas348
- Contacto del fabricanteno disponible
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Methods for Meta-Analysis in Medical Research
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Methods for Meta-Analysis in Medical Research
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ISBN 10: 0471490660
ISBN 13: 9780471490661
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Methods for Meta-Analysis in Medical Research (Wiley Series in Probability and Statistics - Applied Probability and Statistics Section): 387
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Methods for Meta-Analysis in Medical Research.
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Chichester. John Wiley & Sons. 2000., 2000
ISBN 10: 0471490660
ISBN 13: 9780471490661
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Methods for Meta-Analysis in Medical Research (Wiley Series in Probability and Statistics)
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ISBN 10: 0471490660
ISBN 13: 9780471490661
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Condición: New. this is an excellent book. --Short Book Reviews, April 2001Meta-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 h. Nº de ref. del artículo: 446916817
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