Probabilistic expert systems are graphical networks which support the modeling of uncertainty and decisions in large complex domains, while retaining ease of calculation. Building on original research by the authors, this book gives a thorough and rigorous mathematical treatment of the underlying ideas, structures, and algorithms. The book will be of interest to researchers in both artificial intelligence and statistics, who desire an introduction to this fascinating and rapidly developing field. The book, winner of the DeGroot Prize 2002, the only book prize in the field of statistics, is new in paperback.

Probabilistic Networks and Expert Systems: Exact Computational Methods for Bayesian Networks (Information Science and Statistics)

Computers & Technology

Cowell, Robert G.

Dawid, Philip

Lauritzen, Steffen L.

Spiegelhalter, David J.

Computer Science

Springer

Certification

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. <ul>
<li> Illustrated throughout by detailed case studies and worked examples </li> <li> Includes exercises in all chapters </li> <li> Accessible to anyone with a basic knowledge of statistics </li> <li> Authors are at the forefront of research into Bayesian methods in medical research </li> <li> Accompanied by a Web site featuring data sets and worked examples using Excel and WinBUGS - the most widely used Bayesian modelling package </li> </ul>
 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.

Bayesian Approaches to Clinical Trials and Health-Care Evaluation

Science & Math

Abrams, Keith R.

Myles, Jonathan P.

Biological Sciences

wiley

Bayesian methods have&nbsp; increasingly become the standard statistical approach in medical research. Their use is encouraged by regulatory bodies, such as the FDA, due to the versatility of the methodology. This new edition of the leading text on Bayesian approaches to clinical trials has been extensively revised and updated to reflect recent developments in the field, and places greater emphasis on health technology assessment. New material on missing data and longitudinal analysis issues is also included. The book is introductory in nature and covers a broad array of essential topics. The first edition received universal praise.&nbsp; This update is designed to meet the developing needs of statisticians in the pharmaceutical industry, and anyone involved in conducting clinical trials and HTA work.

Bayesian Approaches to Clinical Trials and Health Technology Assessment (Statistics in Practice)

Mathematics

See the best price to sell, buy, or rent books by Spiegelhalter, David J.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Spiegelhalter, David J.