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Type of bind: Hardcover
Dewey Decimal Number: 519.54202461
EAN num: 9780471499756
ISBN number: 0471499757
Label: Wiley
Manufacturer: Wiley
Quantity: 1
Page Count: 406
Printing Date: January 26, 2004
Publishing house: Wiley
Sale Popularity Level: 531851
Studio: Wiley
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Editor's Notes and Comments:
Product Description:
The Bayesian approach involves collecting data from past experience in order to reach conclusions about future events. Bayesian methods have become increasingly popular in recent years, notably in medical research. There are a large number of books on Bayesian analysis, but very few that cover clinical trials and biostatistical applications in any capacity. There is no book available that is introductory in nature and covers such a broad array of essential topics. This book provides a valuable overview of this quickly evolving field, not only for statisticians in the pharmaceutical industry, but also to anyone involved in conducting clinical trials and HTA work. Comprehensive coverage of Bayesian methods in medical research
- Illustrated throughout by case studies and worked examples
- Authors are at the forefront of research into Bayesian methods in medical research
- Suitable for those with a limited statistical background
- Accompanied by a Web site featuring data sets and worked examples in WinBUGS - the most widely accepted Bayesian modelling package
User popularity level:
Rated by buyers -
Clinical research in the US is heavily regulated by the FDA to insure that safe and effective products including drugs vaccines and medical devices come to market and that the clinical trials expose products that either are unsafe, ineffective or both. In recent years with the advent of Bayesian hierarchical models that have posterior distributions of the model parameters determined by Markov Chain Monte Carlo methods, the FDA has accepted the use of Bayesian approaches in medical devices and there seems to be some progress in the area of pharmaceuticals as well.
This book is a welcome addition to the literature on applied Bayesian methods. The authors provide a clear description of the methods and how they can be applied to clinical trials and health economic studies. It is very timely to have such a great reference since industrial statisticians are in need of learning and applying the techniques.
Rated by buyers -
This is an excellent introduction to Bayesian methods for anyone conducting health technology assessment, meta-analysis, and health economic analysis. Even if you're not a Bayesian, it adds depth and perspective to universal concepts such as statistical power, generalizability, and hypothesis testing. The chapters on cost-effectiveness and evidence-synthesis will be invaluable to anyone conducting pharmacoeconomics models or health technology assessments of pharmaceuticals or medical devices.
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