Author: Lemuel A. Moyé
Edition:
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584887249
Elementary Bayesian Biostatistics (Chapman & Hall/CRC Biostatistics)
Bayesian analyses have made important inroads in modern clinical research due, in part, to the incorporation of the traditional tools of noninformative priors as well as the modern innovations of adaptive randomization and predictive power. Medical books Elementary Bayesian Biostatistics . Presenting an introductory perspective to modern Bayesian procedures, Elementary Bayesian Biostatistics explores Bayesian principles and illustrates their application to healthcare research.
Building on the basics of classic biostatistics and algebra, this easy-to-read book provides a clear overview of the subject. It focuses on the history and mathematical foundation of Bayesian procedures, before discussing their implementation in healthcare research from first principles. The author also elaborates on the current controversies between Bayesian and frequentist biostatisticians Medical books Lemuel A. Moye: Elementary Bayesian Biostatistics [With CD]. Taylor & Francis Inc | 2007 | 400 pages | ISBN-13: 9781584887249 | ISBN-10: 1584887249 | You save 15%
Download link for Elementary Bayesian Biostatistics , 9781584887249
Taylor & Francis Inc | 2007 | 400 pages | ISBN-13: 9781584887249 | ISBN-10: 1584887249 | You save 15%
by Lemuel A. Moye - Taylor & Francis (2008) - Hardback - ISBN 1584887249 9781584887249
This book is written by Lemuel A. Moye Published by Taylor & Francis Group In 2007 and is available in Hardback POD will be shipped in 12 Days.
Contributors: Lemuel A. Moye - Author. Format: Hardcover
Medical Book Elementary Bayesian Biostatistics
Presenting an introductory perspective to modern Bayesian procedures, Elementary Bayesian Biostatistics explores Bayesian principles and illustrates their application to healthcare research.
Building on the basics of classic biostatistics and algebra, this easy-to-read book provides a clear overview of the subject. It focuses on the history and mathematical foundation of Bayesian procedures, before discussing their implementation in healthcare research from first principles. The author also elaborates on the current controversies between Bayesian and frequentist biostatisticians. The book concludes with recommendations for Bayesians to improve their standing in the clinical trials community. Calculus derivations are relegated to the appendices so as not to overly complicate the main text.
As Bayesian methods gain more acceptance in healthcare, it is necessary for clinical scientists to understand Bayesian principles. Applying Bayesian analyses to modern healthcare research issues, this lucid introduction helps readers make the correct choices in the development of clinical research programs.
