Evidence synthesis for decision making in healthcare / Nicky J. Welton ... [et al.]
- 作者： Welton, Nicky J.
- 出版： Chichester, West Sussex : John Wiley & Sons 2012
- 叢書名： 空的權威內文
- 主題： Evidence-based medicine--Statistical methods , Decision Support Techniques. , Statistics as Topic , Evidence-Based Medicine--economics , Models, Statistical.
- ISBN： 9780470061091 (hbk.) :: US$78.00 、 047006109X (hbk.)
- 一般註：Includes bibliographical references and index
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讀者標籤：
- 系統號： 005210634 | 機讀編目格式
館藏資訊
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.
內容註
Introduction -- Bayesian methods and winBUGS -- Introduction to decision models -- Meta-analysis using Bayesian methods -- Exploring between study heterogeneity -- Model critique and evidence consistency in random effects meta-analysis -- Evidence synthesis in a decision modelling framework -- Multi-parameter evidence synthesis in epidemiological models -- Mixed treatment comparisons -- Markov models -- Generalised evidence synthesis -- Expected value of information for research prioritisation and study design