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Bayesian approaches to clinical trials and health care evaluation

By: Spiegelhalter, David JContributor(s): Abrams, Keith R | Myles, Jonathan PSeries: Statistics in PracticePublication details: England: John Wiley and Sons Ltd., 2004Description: xiv, 391p. : 18 cmISBN: 9780471499756Subject(s): Bayesian statistical decision theory, Medicine--Research--Statistical methods, Clinical trials--Statistical methods, Medical care surveys, Clinical trialsDDC classification: W20.55.A5 Summary: 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.
Item type: Integrative Medicine
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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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