Bayesian Approaches to Clinical Trials and Health-Care Evaluation / Statistics in Practice (PDF)

READ ALL ABOUT IT!

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.