(2 reviews) Author: ISBN : 9780471499756 New from $68.74 Format: PDFDavid 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.
- Series: Statistics in Practice (Book 13)
- Hardcover: 408 pages
- Publisher: Wiley; 1 edition (January 16, 2004)
- Language: English
- ISBN-10: 0471499757
- ISBN-13: 978-0471499756
- Product Dimensions: 1.1 x 6.3 x 9.3 inches
- Shipping Weight: 1.7 pounds (View shipping rates and policies)
Bayesian Approaches to Clinical Trials and Health-Care Evaluation PDF
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.
Order a copy of this author’s comprehensive text TODAY!
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.
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.By Michael R. Chernick
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.
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.By BC
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