Bayesian approaches to clinical trials and health-care evaluation /

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 clini...

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Bibliographic Details
Main Author:	Spiegelhalter, D. J.
Other Authors:	Abrams, K. R. (Keith R.), Myles, Jonathan P.
Format:	eBook
Language:	English
Published:	Chichester : John Wiley & Sons, ©2004.
Series:	Statistics in practice (Chichester, England)
Subjects:	Bayesian statistical decision theory. Medical technology > Evaluation > Statistical methods. Clinical trials > Evaluation > Statistical methods. Decision making > Mathematical models. Medicine > Research > Statistical methods. Clinical trials > Statistical methods. Clinical Trials > methods Bayes Theorem Decision Support Techniques Technology Assessment, Biomedical
Online Access:	Connect to the full text of this electronic book

Description
Summary:	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.
Physical Description:	1 online resource (xiv, 391 pages) : illustrations
Format:	Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
Bibliography:	Includes bibliographical references and index.
ISBN:	0470092599 9780470092590