Bayesian Approaches to Clinical Trials and Health-Care Evaluation (eBook)

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2004 | 1. Auflage
408 Seiten
Wiley (Verlag)
978-0-470-09259-0 (ISBN)

Lese- und Medienproben

Bayesian Approaches to Clinical Trials and Health-Care Evaluation -  Keith R. Abrams,  Jonathan P. Myles,  David J. Spiegelhalter
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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 exercises in all chapters
  • Accessible to anyone with a basic knowledge of statistics
  • Authors are at the forefront of research into Bayesian methods in medical research
  • Accompanied by a Web site featuring data sets and worked examples using Excel and WinBUGS - the most widely used Bayesian modelling package


Bayesian Approaches to Clinical Trials and Health-Care Evaluation is suitable for students and researchers in medical statistics, statisticians in the pharmaceutical industry, and anyone involved in conducting clinical trials and assessment of health-care technology.



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.


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 exercises in all chapters Accessible to anyone with a basic knowledge of statistics Authors are at the forefront of research into Bayesian methods in medical research Accompanied by a Web site featuring data sets and worked examples using Excel and WinBUGS - the most widely used Bayesian modelling package Bayesian Approaches to Clinical Trials and Health-Care Evaluation is suitable for students and researchers in medical statistics, statisticians in the pharmaceutical industry, and anyone involved in conducting clinical trials and assessment of health-care technology.

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.

"This is a terrific book and should be on the shelf of every
professional that works in clinical trials or health-care
evaluation. It 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)

Erscheint lt. Verlag 5.5.2004
Reihe/Serie Statistics in Practice
Sprache englisch
Themenwelt Mathematik / Informatik Mathematik Statistik
Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Medizin / Pharmazie
Technik
Schlagworte Bayesian analysis • Bayes-Verfahren • Biostatistics • Biostatistik • Gesundheits- u. Sozialwesen • Health & Social Care • Health Care Administration • Statistics • Statistik • Verwaltung im Gesundheitswesen
ISBN-10 0-470-09259-9 / 0470092599
ISBN-13 978-0-470-09259-0 / 9780470092590
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