9780470061091 - evidence synthesis for decision making in healthcare: 132 (statistics in practice) de welton, nicky j.; sutton, alexander j.; cooper, nicola; abrams, keith r.; ades, a. e. (19 resultados)
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Editorial: Wiley, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Evidence Synthesis for Decision Making in Healthcare
Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola J.; Abrams, Keith R.; Ades, A. E.
Idioma: Inglés
Editorial: Wiley, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Evidence Synthesis for Decision Making in Healthcare
Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola J.; Abrams, Keith R.; Ades, A. E.
Idioma: Inglés
Editorial: Wiley, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Evidence Synthesis for Decision Making in Healthcare
Nicky J. Welton, Alexander J. Sutton, A. E. Ades, Nicola Cooper, Keith R. Abrams
Idioma: Inglés
Editorial: John Wiley and Sons Inc, US, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Hardback. Condición: New. 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.
Evidence Synthesis for Decision Making in Healthcare (Statistics in Practice)
Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola; Abrams, Keith R.; Ades, A. E.
Idioma: Inglés
Editorial: Wiley, 2012
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Evidence Synthesis for Decision Making in Healthcare
Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola J.; Abrams, Keith R.; Ades, A. E.
Idioma: Inglés
Editorial: Wiley, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Evidence Synthesis for Decision Making in Healthcare (Statistics in Practice)
Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola; Abrams, Keith R.; Ades, A. E.
Idioma: Inglés
Editorial: Wiley, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Evidence Synthesis for Decision Making in Healthcare
Ades A. E. Welton Nicky J. Sutton Alexander J. Cooper Nicola J. Abrams Keith R. Ades A.E.
Idioma: Inglés
Editorial: John Wiley & Sons, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Condición: New. pp. 294.
Evidence Synthesis for Decision Making in Healthcare
Welton, Nicky J.; Sutton, Alexander J.; Cooper, Nicola J.; Abrams, Keith R.; Ades, A. E.
Idioma: Inglés
Editorial: Wiley, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Condición: New. 2012. 1st Edition. Hardcover. 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 t…o synthesize evidence from multiple sources. Series: Statistics in Practice. Num Pages: 294 pages, Illustrations. BIC Classification: MB; MJ; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 157 x 19. Weight in Grams: 510. . . . . .
Evidence Synthesis for Decision Making in Healthcare
A. E. Ades Nicky J. Welton Alexander J. Sutton Nicola J. Cooper Keith R. Abrams A.E. Ades
Idioma: Inglés
Editorial: John Wiley & Sons, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Condición: New. pp. 294.
Idioma: Inglés
Editorial: John Wiley and Sons Ltd, 2012
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Condición: New. 2012. 1st Edition. Hardcover. 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 t…o synthesize evidence from multiple sources. Series: Statistics in Practice. Num Pages: 294 pages, Illustrations. BIC Classification: MB; MJ; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 157 x 19. Weight in Grams: 510. . . . . . Books ship from the US and Ireland.
Idioma: Inglés
Editorial: John Wiley & Sons, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Condición: New. In the evaluation of healthcare, rigorous methods of quantitative assessment arenecessary 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 evi.
Evidence Synthesis for Decision Making in Healthcare
Nicky J. Welton, Alexander J. Sutton, A. E. Ades, Nicola Cooper, Keith R. Abrams
Idioma: Inglés
Editorial: John Wiley and Sons Inc, US, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
- Tapa dura
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Hardback. Condición: New. 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.
Idioma: Inglés
Editorial: Wiley Mai 2012, 2012
Serie: Statistics in Practice, Libro 16 de 49. Libro 16 de 49 - Statistics in Practice
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Buch. Condición: Neu. Neuware - 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 a…ims 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.
Idioma: Inglés
Editorial: Wiley, 2012
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Condición: gut. Evidence Synthesis for Decision Making in Healthcare In englischer Sprache. pages.
Idioma: Inglés
Editorial: John Wiley & Sons Inc, 2009
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Hardcover. Condición: Brand New. 1st edition. 294 pages. 9.13x6.24x0.75 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Editorial: John Wiley & Sons Inc, New York, 2012
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Hardcover. Condición: new. 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 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. 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 item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
