Bayesian Approaches to Clinical Trials and Health-Care Evaluation by David J Spiegelhalter

Bayesian Approaches to Clinical Trials and Health-Care Evaluation by David J Spiegelhalter

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Summary

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.

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Bayesian Approaches to Clinical Trials and Health-Care Evaluation by David J Spiegelhalter

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.
"This is a terrific book and should be on the shelf of every professional that works in clinical trials or health-care evaluationIt gives a thorough pragmatic introduction to Bayesian methods for health-care interventions, provides many example along with data and software to reproduce the analyses, guides readers to areas where Bayesian methods are particularly valuable, and includes an excellent set of exercises." (Journal of the American Statistical Association, June 2009)

"Bayesian Approaches to Clinical Trials and Health-Care Evaluation' is a clear and comprehensive text for biostatisticians who want to understand and apply Bayesian statistical methods to clinical research." (Journal of Clinical Best Practices, Nov 2008)

"…an indispensable resource for all students and investigators who plan to incorporate Bayesian methods into their research." (The Annals of Pharmacotherapy, January 2005)

"...a valuable resource for libraries, and those who are involved in quantitative health care evaluation..." (Royal Statistical Society, Vol.168, No.1, January 2005)

"...The technical material is presented in an accessible style, and the examples given clearly illustrate the principles under discussion..." (Short Book Reviews, Vol.24, No.3, December 2004)

"...Bayesian analysis seems set to reach a wider audience with the publication of [this] introductory level text..." (Financial Times, 16 April 2004)

"...very well laid-out and easy to follow...a very good resource for teaching students..." (Statistical Methods in Medical Research, Vol 14, 2005)

"I would use with pleasure and interest this book as a textbook..." (Metron Journal, Vol.63, No.2, 2005)

"...I can pay the authors no higher tribute than to say that I would be proud to have written this book. It is elegant and it is destined to becoming a classic in the field." (Statistics in Medicine, 15th July 2005)

"...a generous supply of exercises...I recommend it very highly..." (Clinical Trials, No.1 2004)

"...Bayesian analysis seems set to reach a wider audience with the publication of [this] introductory level text..." (Financial Times, 16 April 2004)

"...a generous supply of exercises...I recommend it very highly..." (Clinical Trials, No.1 2004)

Sir David John Spiegelhalter, OBE FRS, is a British statistician and Winton Professor of the Public Understanding of Risk in the Statistical Laboratory at the University of Cambridge and a Fellow of Churchill College, Cambridge. Spiegelhalter is an ISI highly cited researcher.

Keith R. Abrams is the author of Bayesian Approaches to Clinical Trials and Health-Care Evaluation, published by Wiley.

Jonathan P. Myles is the author of Bayesian Approaches to Clinical Trials and Health-Care Evaluation, published by Wiley.

SKU Unavailable
ISBN 13 9780471499756
ISBN 10 0471499757
Title Bayesian Approaches to Clinical Trials and Health-Care Evaluation
Author David J Spiegelhalter
Series Statistics In Practice
Condition Unavailable
Binding Type Hardback
Publisher John Wiley & Sons Inc
Year published 2003-12-05
Number of pages 408
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.