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Bayesian Approaches to Clinical Trials and Health-Care Evaluation |
| David Spiegelhalter (MRC Biostatistics Unit, Cambridge, UK); Keith R. Abrams (Univ. of Leicester, UK); Jonathan Myles (MRC Biostatistics Unit, Cambridge, UK) |
| The Bayesian approach involves synthesising data and judgement in order to reach conclusions about unknown quantities and make predictions. Bayesian methods have become increasingly popular in recent years, notably in medical research, and although there are a number of books on Bayesian analysis, few cover clinical trials and biostatistical applications in any detail. Bayesian Approaches to Clinical Trials and Health-Care Evaluation provides a valuable overview of this rapidly evolving field, including basic Bayesian ideas, prior distributions, clinical trials, observational studies, evidence synthesis and cost-effectiveness analysis. § Covers a broad array of essential topics, building from the basics to
more advanced techniques.
§ Illustrated throughout by detailed case studies and worked examples.
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