Network Meta Analysis For Decision Making
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Network Meta Analysis For Decision Making
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Author : Sofia Dias
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-19
Network Meta Analysis For Decision Making written by Sofia Dias and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-19 with Mathematics categories.
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.
Network Meta Analysis For Decision Making
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Author : Sofia Dias
language : en
Publisher: John Wiley & Sons
Release Date : 2018-01-08
Network Meta Analysis For Decision Making written by Sofia Dias and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-08 with Mathematics categories.
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.
Network Meta Analysis
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Author : Giuseppe Biondi-Zoccai
language : en
Publisher: Nova Science Publishers
Release Date : 2014
Network Meta Analysis written by Giuseppe Biondi-Zoccai and has been published by Nova Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Meta-analysis categories.
Network meta-analyses and mixed treatment comparisons represent the uppermost level in the evidence hierarchy for decision making, in medicine as well as in other scholarly fields. This book covers the main topics which should be mastered to critically read and interpret as well as, if deemed worthwhile, perform and report independently a network meta-analysis and mixed treatment comparison. The text includes dozens of tables and illustrations to guide visually the reader in understanding the basics as well as the more refined details of network meta-analyses.
Diagnostic Meta Analysis
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Author : Giuseppe Biondi-Zoccai
language : en
Publisher: Springer
Release Date : 2018-07-24
Diagnostic Meta Analysis written by Giuseppe Biondi-Zoccai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-24 with Medical categories.
This book is the first exclusively devoted to the systematic synthesis of diagnostic test accuracy studies. It builds upon the major recent developments in reporting standards, search methods, and, in particular, statistical tools specifically devoted to diagnostic studies. In addition, it borrows extensively from the latest advances in systematic reviews and meta-analyses of intervention studies. After a section dedicated to methods for designing reviews, synthesizing evidence and appraising inconsistency in research, the application of these approaches is demonstrated in the context of case studies from various clinical disciplines. Diagnosis is central in medical decision-making, and in many other fields of human endeavor, such as education and psychology. The plurality of sources of evidence on diagnostic test accuracy poses a huge challenge for practitioners and researchers, as do the multiple dimensions of evidence validity, which include sensitivity, specificity, predictive values, and likelihood ratios. This book offers an invaluable resource for anyone aiming to improve decision-making processes in diagnosis, classification or risk prognostication, from epidemiologists to biostatisticians, radiologists, laboratory physicians and graduate students, as any physician interested in refining his methodological skills in clinical diagnosis.
Doing Meta Analysis With R
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Author : Mathias Harrer
language : en
Publisher: CRC Press
Release Date : 2021-09-15
Doing Meta Analysis With R written by Mathias Harrer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-15 with Mathematics categories.
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book
Cochrane Handbook For Systematic Reviews Of Interventions
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Author : Julian P. T. Higgins
language : en
Publisher: Wiley
Release Date : 2008-11-24
Cochrane Handbook For Systematic Reviews Of Interventions written by Julian P. T. Higgins and has been published by Wiley this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-24 with Medical categories.
Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
Meta Analysis With R
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Author : Guido Schwarzer
language : en
Publisher: Springer
Release Date : 2015-10-08
Meta Analysis With R written by Guido Schwarzer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-08 with Medical categories.
This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.
Network Meta Analysis
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Author : Giuseppe Biondi Zoccai
language : en
Publisher:
Release Date : 2014-06-14
Network Meta Analysis written by Giuseppe Biondi Zoccai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-14 with Meta-analysis categories.
Network meta-analyses and mixed treatment comparisons represent the uppermost level in the evidence hierarchy for decision making, in medicine as well as in other scholarly fields. They combine and exploit data from direct (i.e. head-to-head) randomized trials and combine them, when appropriate, with indirect estimates, in order to obtain more precise and robust estimates of effect to determine which management strategy is the safest, most effective, or cost-effective. They have been developed recently thanks to the current widespread availability of high power computers, but have already succeeded in becoming a highly read and impactful type of research design. Several important examples of network meta-analyses with pivotal practical implications are available, spanning from stents for coronary revascularization to psychiatric drugs. This book, the first devoted solely to this topic, aims to cover briefly but poignantly the main topics which should be mastered to critically read and interpret as well as, if deemed worthwhile, perform and report independently a network meta-analysis and mixed treatment comparison. The editorial team represents a veritable Who's Who of worldwide experts in these topics, and everyone involved in the collection has strived to provide correct and sound yet practical advice. This book includes dozens of tables and illustrations to guide visually the reader in understanding the basics as well as the more refined details of network meta-analyses. Quoted references are per se a uniquely useful component of this book, as they provide a commented guidance to the best and most informative papers on mixed treatment comparisons. Thus, this book will be uniquely useful to students or scholars interested in these topics, including clinical researchers and practitioners, as well as statisticians, epidemiologists, psychologists and sociologists.
Evidence Synthesis For Decision Making In Healthcare
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Author : Nicky J. Welton
language : en
Publisher: John Wiley & Sons
Release Date : 2012-04-12
Evidence Synthesis For Decision Making In Healthcare written by Nicky J. Welton and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-12 with Mathematics categories.
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.
Meta Analysis Decision Analysis And Cost Effectiveness Analysis
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Author : Diana B. Petitti
language : en
Publisher: OUP USA
Release Date : 2000
Meta Analysis Decision Analysis And Cost Effectiveness Analysis written by Diana B. Petitti and has been published by OUP USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Language Arts & Disciplines categories.
Public health and in health policy courses at the undergraduate and graduate level.