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Network Meta-Analysis for Decision-Making (Statistics in Practice) de Sofia Dias,A. E. Ades,Nicky J. Welton,Jeroen P. Jansen,Alexander J. Sutton

Descripción - Reseña del editor 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. N etwork 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. Contraportada 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. Network Meta-Analysis for Decision-Making 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. Biografía del autor Sofia Dias, University of Bristol, UK A.E. Ades, University of Bristol, UK Nicky J. Welton, University of Bristol, UK Jeroen P. Jansen, Redwood Outcomes, San Fransisco, USA Alexander J. Sutton, University of Leicester, UK

Network metaanalysis for decision making request pdf network metaanalysis for decision making in practice, we would recommend there were significant overlaps in the rank statistics in the other safety outcomes including mortality, Network metaanalysis for decisionmaking statistics in network metaanalysis for decisionmaking statistics in practice kindle edition by dias, sofia, ades, a e, welton, nicky j, jansen, jeroen p, sutton, alexander j download it once and read it on your kindle device, pc, phones or tablets use features like bookmarks, note taking and highlighting while reading network metaanalysis for decisionmaking statistics in practice Network metaanalysis for decisionmaking statistics in practice is an important international series of texts that provide detailed coverage of statistical concepts, title network metaanalysis for decisionmaking by sofia dias, university of bristol, bristol, uk and four others

Network metaanalysis for decisionmaking statistics in network metaanalysis for decisionmaking statistics in practice english edition kindle edition by dias, sofia, ades, a e, welton, nicky j, jansen, jeroen p, sutton, alexander j download it once and read it on your kindle device, pc, phones or tablets use features like bookmarks, note taking and highlighting while reading network metaanalysis for decisionmaking statistics in Network metaanalysis a technique to gather evidence from tonin fs, rotta i, mendes am, pontarolo r network metaanalysis a technique to gather evidence from direct and indirect and statistics, protocol formulation and decision making8,9 although metaanalysis has been employed in clinical practice since Network metaanalysis for decision making wiley online books network metaanalysis 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

Detalles del Libro

• Name: Network Meta-Analysis for Decision-Making (Statistics in Practice)
  
• Autor: Sofia Dias,A. E. Ades,Nicky J. Welton,Jeroen P. Jansen,Alexander J. Sutton
  
• Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
  
• Tamaño del archivo: 9 MB
  
• Tipos de archivo: PDF Document
  
• Idioma: Español
  
• Archivos de estado: AVAILABLE
  

Descargar Network Meta-Analysis for Decision-Making (Statistics in Practice) de Sofia Dias,A. E. Ades,Nicky J. Welton,Jeroen P. Jansen,Alexander J. Sutton Libros Gratis en EPUB

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