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Can I read Bayesian Approaches to Clinical Trials and Health-Care Evaluation (Statistics in Practice) on EtoBox?

Bayesian Approaches to Clinical Trials and Health-Care Evaluation (Statistics in Practice) by David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles is a nonfiction available to read on EtoBox.

What is Bayesian Approaches to Clinical Trials and Health-Care Evaluation (Statistics in Practice) about?

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 exer

Who reads Bayesian Approaches to Clinical Trials and Health-Care Evaluation (Statistics in Practice)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
David J. Spiegelhalter, Keith R. Abrams, Jonathan P. Myles
Publisher
John Wiley & Sons, Incorporated
Published
2004
Language
EN
ISBN
9780470092590
Category
nonfiction
Subjects
Mathematics, Medical, Technology

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