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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
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: 12 MB
- Tipos de archivo: PDF Document
- Descargada: 196 times
- 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 ebooks
Network Meta‐Analysis for Decision-Making ~ Statistics in Practice is an important international series of texts that provide detailed coverage of statistical concepts, . Title: Network meta-analysis for decision-making / by Sofia Dias, University of Bristol, Bristol, UK [and four others].
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Network meta-analysis: a technique to gather evidence from ~ Tonin FS, Rotta I, Mendes AM, Pontarolo R. Network meta-analysis: a technique to gather evidence from direct and indirect . and statistics, . protocol formulation and decision making.8,9 Although meta-analysis has been employed in clinical practice since
Network Meta-Analysis for Decision-Making Statistics in ~ 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, .
Network Meta-Analysis for Decision-Making / Wiley ~ 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 (Statistics in ~ Network Meta-Analysis for Decision-Making (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 Meta-Analysis for Decision-Making (Statistics in .
Network Meta‐Analysis for Decision Making / Wiley Online Books ~ 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.
Network Meta-Analysis for Decision Making / Request PDF ~ Network Meta-Analysis for Decision Making. . In practice, we would recommend . There were significant overlaps in the rank statistics in the other safety outcomes including mortality, .
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Network Meta-Analysis: A Brief Tutorial - ISCTM ~ comparison/network meta-analysis study questionnaire to assess relevance and credibility to inform health care decision making: An ISPOR-AMCP-NPC Good Practice Task Force Report. Value in Health 2014; 17:157-173. • Salanti G, Del Giovane C, Chaimani A, Caldwell DM, Higgins JPT. Evaluating the quality of evidence from a network mta-analysis.
Network Meta-Analysis for Decision-Making [Book] ~ 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. … - Selection from Network Meta-Analysis for Decision-Making [Book]
Network meta-analysis for decision making / Dias, Sofia ~ Network meta-analysis for decision making / Dias, Sofia / download / B–OK. Download books for free. Find books
Network meta-analysis for decision making (eBook, 2018 ~ Preface xiiiList of Abbreviations xxiAbout the Companion Website xxv1 Introduction to Evidence Synthesis 11.1 Introduction 11.2 Why Indirect Comparisons and Network Meta -Analysis? 21.3 Some Simple Methods 41.4 An Example of a Network Meta -Analysis 61.5 Assumptions Made by Indirect Comparisons and Network Meta -Analysis 91.6 Which Trials to Include in a Network 121.6.1 The Need for a Unique .
WHO / Use of network meta-analysis in clinical guidelines ~ In 2015, GRADE working groups published guidance on how to use GRADE in conjunction with network meta-analysis. 7 Furthermore, the National Institute for Health and Clinical Excellence (NICE) in the United Kingdom of Great Britain and Northern Ireland has included recommendations on network meta-analysis within its clinical guidelines manual. 8 However, in 2012 only 8% of 138 NICE clinical .
Network Meta-Analysis for Decision-Making: Dias, Sofia ~ 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, .
Network Meta-Analysis - an overview / ScienceDirect Topics ~ In a network meta-analysis of 22 clinical trials with 143,153 participants who did not have diabetes at randomization, the risk of new-onset diabetes was most pronounced with diuretics and β-blockers (more so than with other classes of antihypertensive agents), implying a negative metabolic effect by the β-blockers. 37 β-Blockers may contribute to the development of diabetes by weight gain .
Network Meta-Analysis for Decision-Making » Medical Books Free ~ 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.
Network meta-analysis: the highest level of medical ~ Network meta-analyses synthesise networks of direct and indirect comparisons of interventions, and enable researchers to simultaneously assess the effects of more than two interventions for the same condition.1 Indirect evidence refers to estimates from different direct meta-analyses with a common comparator and allows for treatment comparisons that have not been directly compared in a .
Network meta-analysis-highly attractive but more ~ Network meta-analysis, in the context of a systematic review, is a meta-analysis in which multiple treatments (that is, three or more) are being compared using both direct comparisons of interventions within randomized controlled trials and indirect comparisons across trials based on a common comparator. To ensure validity of findings from network meta-analyses, the systematic review must be .
Network Meta-Analysis Using R: A Review of Currently ~ Network meta-analysis (NMA) – a statistical technique that allows comparison of multiple treatments in the same meta-analysis simultaneously – has become increasingly popular in the medical literature in recent years. The statistical methodology underpinning this technique and software tools for implementing the methods are evolving.
Network Meta-Analysis for Decision-Making - Sofia Dias, A ~ 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.
An introduction to network meta-analysis (mixed treatment ~ References – The key assumptions of network meta-analysis (1) Jansen JP, Fleurence R, Devine B et al. Interpreting indirect treatment comparisons and network meta-analysis for health-care decision making: report of the ISPOR Task Force on Indirect Treatment Comparisons Good Research Practices: part 1. Value Health 2011; 14: 417–428.
Model-Based Network Meta-Analysis: A Framework for ~ Model-based meta-analysis (MBMA) is increasingly used in drug development to inform decision-making and future trial designs, through the use of complex dose and/or time course models. Network meta-analysis (NMA) is increasingly being used by reimbursement agencies to estimate a set of coherent relative treatment effects for multiple treatments that respect the randomization within the trials.
Demystifying trial networks and network meta-analysis ~ Networks of randomized clinical trials can be evaluated in the context of a network meta-analysis, a procedure that permits inferences into the comparative effectiveness of interventions that may or may not have been evaluated directly against each other. This approach is quickly gaining popularity among clinicians and guideline decision makers.