Bayesian Approaches to Clinical Trials and Health-Care Evaluation

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Wiley, May 5, 2004 - Mathematics - 406 pages
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David Spiegelhalter has recently joined the ranks of Isaac Newton, Charles Darwin and Stephen Hawking by becoming a fellow of the Royal Society. Originating from the Medical Research Council’s biostatistics unit, David has played a leading role in the Bristol heart surgery and Harold Shipman inquiries.  

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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
  • Includes exercises in all chapters
  • Accessible to anyone with a basic knowledge of statistics
  • Authors are at the forefront of research into Bayesian methods in medical research
  • Accompanied by a Web site featuring data sets and worked examples using Excel and WinBUGS - the most widely used Bayesian modelling package


Bayesian Approaches to Clinical Trials and Health-Care Evaluation is suitable for students and researchers in medical statistics, statisticians in the pharmaceutical industry, and anyone involved in conducting clinical trials and assessment of health-care technology.

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About the author (2004)

is Jack, Lulu, and Sam Wilson Professor at the School of Medicine, Associate Chair of Psychiatry and Behavioral Sciences, and Medical Director at the Center for Integrative Medicine at Stanford University in Stanford, California.

Porf. Adrams' research includes: The development and application of Bayesian methods in healthcare evaluation, systematic reviews and meta-analysis and The joint modelling of longitudinal and time-to-event data. He has considerable experience of undertaking pradmatic TCT's and systematic reviews in a variety of settings, including cardiology, gastroenology, oncology and reproductive medicine.

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