Langue: anglais
Edité par BCS, The Chartered Institute for IT, 2020
ISBN 10 : 1780175183 ISBN 13 : 9781780175188
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Ajouter au panierEtat : New.
Langue: anglais
Edité par BCS, The Chartered Institute for IT, 2020
ISBN 10 : 1780175183 ISBN 13 : 9781780175188
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Langue: anglais
Edité par BCS, The Chartered Institute for IT, 2020
ISBN 10 : 1780175183 ISBN 13 : 9781780175188
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 66,76
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 68,47
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Langue: anglais
Edité par John Wiley and Sons Inc, US, 2012
ISBN 10 : 047006109X ISBN 13 : 9780470061091
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 72,68
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Ajouter au panierHardback. Etat : 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.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 71,87
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Ajouter au panierEtat : New.
Vendeur : LOROS Bookshop, Leicester, Royaume-Uni
Edition originale
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Ajouter au panierHardcover, boards in decent condition, minimal signs of wear. Internally, all pages appear clean and bright, apart from owners name scribbled out in pen on rear of front board, no other indications of markings or annotation. Seller image provided. For further helpful synopsis and reviews try clicking on 'bookseller image'. Selling books since 1999, all proceeds help fund LOROS Charity.
Langue: anglais
Edité par BCS, The Chartered Institute for IT, 2020
ISBN 10 : 1780175183 ISBN 13 : 9781780175188
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 58,03
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 64,31
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Ajouter au panierEtat : New. In.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Langue: anglais
Edité par John Wiley and Sons Inc, US, 2018
ISBN 10 : 1118647505 ISBN 13 : 9781118647509
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 85,62
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Ajouter au panierHardback. Etat : New. A practical guide to network meta-analysis with examples and code In the evaluation of healthcare, rigorous methods of quantitative assessment are necessary to establish which interventions are effective and cost-effective. Often a single study will not provide the answers and it is desirable to synthesise evidence from multiple sources, usually randomised controlled trials. This book takes an approach to evidence synthesis that is specifically intended for decision making when there are two or more treatment alternatives being evaluated, and assumes that the purpose of every synthesis is to answer the question "for this pre-identified population of patients, which treatment is 'best'?" A comprehensive, coherent framework for network meta-analysis (mixed treatment comparisons) is adopted and estimated using Bayesian Markov Chain Monte Carlo methods implemented in the freely available software WinBUGS. Each chapter contains worked examples, exercises, solutions and code that may be adapted by readers to apply to their own analyses. This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. Methods used throughout this book can be applied consistently: model critique and checking for evidence consistency are emphasised.Methods are based on technical support documents produced for NICE Decision Support Unit, which support the NICE Methods of Technology Appraisal.Code presented is also the basis for the code used by the ISPOR Task Force on Indirect Comparisons.Includes extensive carefully worked examples, with thorough explanations of how to set out data for use in WinBUGS and how to interpret the output. Network Meta-Analysis for Decision Making will be of interest to decision makers, medical statisticians, health economists, and anyone involved in Health Technology Assessment including the pharmaceutical industry.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Ajouter au panierHardcover. Etat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Vendeur : Majestic Books, Hounslow, Royaume-Uni
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Ajouter au panierEtat : New. pp. 294.
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Ajouter au panierEtat : New. pp. 384.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Vendeur : moluna, Greven, Allemagne
EUR 71,94
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Ajouter au panierEtat : 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.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 113,83
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Vendeur : moluna, Greven, Allemagne
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Ajouter au panierEtat : New. SOFIA DIAS, University of Bristol, UKA.E. ADES, University of Bristol, UKNICKY J. WELTON, University of Bristol, UKJEROEN P. JANSEN, Precision Health Economics, USAALEXANDER J. SUTTON, University of Leicester, UKA practical guide to network meta-analysi.
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Ajouter au panierHardcover. Etat : Brand New. 1st har/psc edition. 456 pages. 9.00x6.00x1.00 inches. In Stock.
Langue: anglais
Edité par John Wiley and Sons Inc, US, 2012
ISBN 10 : 047006109X ISBN 13 : 9780470061091
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 67,45
Quantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : 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.