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Keith R. Abrams | Akateeminen Kirjakauppa

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Bayesian Approaches to Clinical Trials and Health-Care Evaluation
David J. Spiegelhalter; Keith R. Abrams; Jonathan P. Myles
John Wiley & Sons Inc (2003)
Kovakantinen kirja
83,00
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The Advanced Handbook of Methods in Evidence Based Healthcare
Andrew J Stevens; Keith R Abrams; John Brazier; Ray Fitzpatrick; Richard J Lilford
SAGE Publications Inc (2001)
Kovakantinen kirja
128,60
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Methods for Meta-Analysis in Medical Research
Alexander J. Sutton; Keith R. Abrams; David R Jones; Trevor A. Sheldon; Fujian Song
John Wiley & Sons Inc (2000)
Kovakantinen kirja
133,00
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Evidence Synthesis for Decision Making in Healthcare
Nicky J. Welton; Alexander J. Sutton; Nicola Cooper; Keith R. Abrams; A. E. Ades
John Wiley & Sons Inc (2012)
Kovakantinen kirja
69,60
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Bayesian Approaches to Clinical Trials and Health-Care Evaluation
83,00 €
John Wiley & Sons Inc
Sivumäärä: 408 sivua
Asu: Kovakantinen kirja
Julkaisuvuosi: 2003, 05.12.2003 (lisätietoa)
Kieli: Englanti
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.

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Turku
Tampere
Bayesian Approaches to Clinical Trials and Health-Care Evaluationzoom
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