Author: Emmanuel Lesaffre
Edition: 1
Publisher: Wiley
Binding: Hardcover
ISBN: 0470018232
Bayesian Biostatistics (Statistics in Practice)
The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. Medical books Bayesian Biostatistics . One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets.
Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials Medical books Bayesian Biostatistics And Diagnostic Medicine Broemeling, Lyle D. (author). author lyle d broemeling format hardback language english publication year 12 07 2007 subject medicine subject 2 clinical medicine professional title bayesian biostatistics and diagnostic medicine author broemeling lyle d author publisher chapman hall publication date jul 16 2007 pages 198 binding hardcover edition 1 st dimensions 6 25 wx 9 50 hx 0 75 d isbn 1584887672 subject medical public health description bayesian approaches which combine diverse data with any prior information available
Download link for Bayesian Biostatistics (Statistics: A Series of Textbooks and Monographs)
Medical Book Bayesian Biostatistics
One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets.
Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials.
Key Features:
- Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques.
- Contains introductory explanations of Bayesian principles common to all areas of application.
- Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics.
- Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs.
- Highlights the differences between the Bayesian and classical approaches.
- Supported by an accompanying website hosting free software and case study guides.
Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.
