Lesaffre / Lawson Bayesian Biostatistics

1. Auflage 2012
ISBN: 978-1-119-94240-5
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 536 Seiten, E-Book

Reihe: Statistics in Practice

The growth of biostatistics has been phenomenal in recent years andhas been marked by considerable technical innovation in bothmethodology and computational practicality. One area that hasexperienced significant growth is Bayesian methods. The growing useof Bayesian methodology has taken place partly due to an increasingnumber of practitioners valuing the Bayesian paradigm as matchingthat of scientific discovery. In addition, computational advanceshave allowed for more complex models to be fitted routinely torealistic data sets.
Through examples, exercises and a combination of introductoryand more advanced chapters, this book provides an invaluableunderstanding of the complex world of biomedical statisticsillustrated via a diverse range of applications taken fromepidemiology, exploratory clinical studies, health promotionstudies, image analysis and clinical trials.
Key Features:
* Provides an authoritative account of Bayesian methodology, fromits most basic elements to its practical implementation, with anemphasis on healthcare techniques.
* Contains introductory explanations of Bayesian principlescommon to all areas of application.
* Presents clear and concise examples in biostatisticsapplications such as clinical trials, longitudinal studies,bioassay, survival, image analysis and bioinformatics.
* Illustrated throughout with examples using software includingWinBUGS, OpenBUGS, SAS and various dedicated Rprograms.
* Highlights the differences between the Bayesian and classicalapproaches.
* Supported by an accompanying website hosting free softwareand case study guides.
Bayesian Biostatistics introduces the reader smoothlyinto the Bayesian statistical methods with chapters that graduallyincrease in level of complexity. Master students in biostatistics,applied statisticians and all researchers with a good background inclassical statistics who have interest in Bayesian methods willfind this book useful.

Autoren/Hrsg.

Lesaffre, Emmanuel

Lawson, Andrew B.

Über Autor(innen)

Emmanuel Lesaffre, Professor of Statistics, BiostatisticalCentre, Catholic University of Leuven, Leuven, Belgium. Dr Lesaffrehas worked on and studied various areas of biostatistics for 25years. He has taught a variety of courses to students from manydisciplines, from medicine and pharmacy, to statistics andengineering, teaching Bayesian statistics for the last 5 years.Having published over 200 papers in major statistical and medicaljournals, he has also Co-Edited the book Disease Mapping andRisk Assessment for Public Health, and was the Associate Editorfor Biometrics. He is currently Co-Editor of the journal"Statistical Modelling: An International Journal",Special Editor of two volumes on Statistics in Dentistry inStatistical Methods in Medical Research, and a member of theEditorial Boards of numerous journals.
Andrew Lawson, Professor of Statistics, Dept ofEpidemiology & Biostatistics, University of South Carolina,USA. Dr Lawson has considerable and wide ranging experience in thedevelopment of statistical methods for spatial and environmentalepidemiology. He has solid experience in teaching Bayesianstatistics to students studying biostatistics and has also writtentwo books and numerous journal articles in the biostatistics area.Dr Lawson has also guest edited two special issues of"Statistics in Medicine" focusing on Disease Mapping.He is a member of the editorial boards of the journals:Statistics in Medicine and .