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)
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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Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola; Abrams, Keith R.; Ades, A. E.
Editorial: Wiley
ISBN 10: 047006109X ISBN 13: 9780470061091
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Alexander J. Sutton, Keith R. Abrams, A. E. Ades
Editorial: 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. Estado de conservación: New. 1. Auflage. 236 x 156 mm. 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. de la librería AAH9780470061091

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Alexander J. Sutton, Keith R. Abrams, A. E. Ades
Editorial: 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. Estado de conservación: New. 236 x 156 mm. 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. de la librería AAH9780470061091

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Nicky J. Welton
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ISBN 10: 047006109X ISBN 13: 9780470061091
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Descripción Wileyand#8211;Blackwell, 2012. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FW-9780470061091

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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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Alexander J. Sutton
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Descripción 2012. Hardcover. Estado de conservación: New. 1st. 235mm x 157mm x. Hardcover. 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 wil.Shipping may be from multiple locations in the US or from the UK, depending on stock availability. 294 pages. 0.510. Nº de ref. de la librería 9780470061091

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Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola; Abrams, Keith R.; Ades, A. E.
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NICKY J. WELTON
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Descripción John Wiley & Sons Inc, 2009. Hardcover. Estado de conservación: Brand New. 1st edition. 294 pages. 9.13x6.24x0.75 inches. In Stock. Nº de ref. de la librería __047006109X

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Descripción 2012. Hardcover. Estado de conservación: New. 1st. 235mm x 157mm x. Hardcover. In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish interventions that are both effective and cost-effective. Usually a sin.Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. 294 pages. 0.510. Nº de ref. de la librería 9780470061091

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