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Network Meta-Analysis for Decision Making (Hardcover)
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Network Meta-Analysis for Decision Making (Hardcover)
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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.
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