Bayesian approaches to clinical trials and health-care evaluation / David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles.

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
Online Access: Full Text (via EBSCO)
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:

MARC

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245 1 0 |a Bayesian approaches to clinical trials and health-care evaluation /  |c David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles. 
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505 0 |a 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. 
520 |a 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. 
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