Evidence Synthesis for Decision Making in Healthcare (Statistics in Practice)

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9780470061091: Evidence Synthesis for Decision Making in Healthcare (Statistics in Practice)
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Book by Welton Nicky J Sutton Alexander J Cooper Nicola J

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Reseña del editor:

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods. Key features: * A coherent approach to evidence synthesis from multiple sources. * Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation. * Provides methods to statistically combine evidence from a range of evidence structures. * Emphasizes the importance of model critique and checking for evidence consistency. * Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book. * WinBUGS code is provided for all examples. Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies.

Reseña del editor:

In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are beneficial, are superior to all alternatives and are cost-effective. Usually one study will not provide answers to these questions and it will be necessary to synthesize evidence from multiple sources. This book aims to outline a coherent approach to such evidence synthesis, for the purpose of decision making. Each chapter contains worked examples, exercises and solutions drawn from a variety of medical disciplines Evidence Syntesis for Decision Making intends to provide a practical guide to the appropriate methods for synthesizing evidence for use in analytical decision models. More specifically, it proposes a comprehensive evidence synthesis framework, which models all the available data appropriately and efficiently in a format that can be incorporated directly into a decision model.

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1.

Alexander J. Sutton, Keith R. Abrams, A. E. Ades
Publicado por John Wiley and Sons Ltd, United States (2012)
ISBN 10: 047006109X ISBN 13: 9780470061091
Nuevo Tapa dura Original o primera edición Cantidad disponible: 10
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Descripción John Wiley and Sons Ltd, United States, 2012. Hardback. Condición: New. 1. Auflage. Language: English . Brand New Book. In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods. Key features: * A coherent approach to evidence synthesis from multiple sources. * Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation. * Provides methods to statistically combine evidence from a range of evidence structures. * Emphasizes the importance of model critique and checking for evidence consistency. * Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book. * WinBUGS code is provided for all examples. Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies. Nº de ref. del artículo: AAH9780470061091

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Nicky J. Welton (author), Alexander J. Sutton (author), Nicola Cooper (author), Keith R. Abrams (author), A. E. Ades (author)
Publicado por Wiley 2012-05-11, Chichester (2012)
ISBN 10: 047006109X ISBN 13: 9780470061091
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Descripción Wiley 2012-05-11, Chichester, 2012. hardback. Condición: New. Nº de ref. del artículo: 9780470061091

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Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola; Abrams, Keith R.; Ades, A. E.
Publicado por Wiley
ISBN 10: 047006109X ISBN 13: 9780470061091
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Descripción Wiley. Hardcover. Condición: New. 047006109X New Condition. Nº de ref. del artículo: NEW7.1819511

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Alexander J. Sutton, Keith R. Abrams, A. E. Ades
Publicado por John Wiley and Sons Ltd, United States (2012)
ISBN 10: 047006109X ISBN 13: 9780470061091
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Descripción John Wiley and Sons Ltd, United States, 2012. Hardback. Condición: New. 1. Auflage. Language: English . Brand New Book. In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods. Key features: * A coherent approach to evidence synthesis from multiple sources. * Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation. * Provides methods to statistically combine evidence from a range of evidence structures. * Emphasizes the importance of model critique and checking for evidence consistency. * Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book. * WinBUGS code is provided for all examples. Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies. Nº de ref. del artículo: AAH9780470061091

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Nicky J. Welton
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Alexander J. Sutton (University of Leicester, UK); Keith R. Abrams; A.E Ades; Nicola J. Cooper; Nicky J. Welton
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Descripción John Wiley and Sons. Condición: New. Brand New. Nº de ref. del artículo: 047006109X

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Welton, Nicky J., Sutton, Alexander J.,
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Descripción Wiley, 2012. Hardcover. Condición: New. Never used!. Nº de ref. del artículo: P11047006109X

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Welton, Nicky J.
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Alexander J. Sutton, Keith R. Abrams, A. E. Ades
Publicado por John Wiley and Sons Ltd, United States (2012)
ISBN 10: 047006109X ISBN 13: 9780470061091
Nuevo Tapa dura Original o primera edición Cantidad disponible: 10
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Descripción John Wiley and Sons Ltd, United States, 2012. Hardback. Condición: New. 1. Auflage. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. Brand New Book. In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a single study will not fully address these issues and it is desirable to synthesize evidence from multiple sources. This book aims to provide a practical guide to evidence synthesis for the purpose of decision making, starting with a simple single parameter model, where all studies estimate the same quantity (pairwise meta-analysis) and progressing to more complex multi-parameter structures (including meta-regression, mixed treatment comparisons, Markov models of disease progression, and epidemiology models). A comprehensive, coherent framework is adopted and estimated using Bayesian methods. Key features: * A coherent approach to evidence synthesis from multiple sources. * Focus is given to Bayesian methods for evidence synthesis that can be integrated within cost-effectiveness analyses in a probabilistic framework using Markov Chain Monte Carlo simulation. * Provides methods to statistically combine evidence from a range of evidence structures. * Emphasizes the importance of model critique and checking for evidence consistency. * Presents numerous worked examples, exercises and solutions drawn from a variety of medical disciplines throughout the book. * WinBUGS code is provided for all examples. Evidence Synthesis for Decision Making in Healthcare is intended for health economists, decision modelers, statisticians and others involved in evidence synthesis, health technology assessment, and economic evaluation of health technologies. Nº de ref. del artículo: BTE9780470061091

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NICKY J. WELTON
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Descripción 2012. Hardback. Condición: NEW. 9780470061091 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Nº de ref. del artículo: HTANDREE0782601

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