Bayesian Approaches to Clinical Trials and Health-Care Evaluation

David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles - Collection Statistics in Practice

392 pages, parution le 16/12/2003

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Résumé

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 rapidly 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

Introduction
Basic Concepts from Traditional Statistical Analysis
An Overview of the Bayesian Approach
Comparison of Alternative Approaches to Inference
Prior Distributions
Randomised Controlled Trials
Observational Studies
Evidence Synthesis
Cost-effectiveness, Policy-Making and Regulation
Conclusions and Implications for Future Research

A1 The site for this book
A2 Bayesian methods in health-care evaluation
A3 Bayesian software
A4 General Bayesian sites

Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
Collection	Statistics in Practice
Parution	16/12/2003
Nb. de pages	392
Format	15,5 x 23,5
Couverture	Relié
Poids	772g
Intérieur	Noir et Blanc
EAN13	9780471499756
ISBN13	978-0-471-49975-6