Bayesian Methods in Epidemiology

by Lyle D. Broemeling

Overview

Written by a biostatistics expert with over 20 years of experience in the field, Bayesian Methods in Epidemiology presents statistical methods used in epidemiology from a Bayesian viewpoint. It employs the software package WinBUGS to carry out the analyses and offers the code in the text and for download online.The book examines study designs that

Product Details

ISBN-13:	9781040220467
Publisher:	CRC Press
Publication date:	08/13/2013
Series:	Chapman & Hall/CRC Biostatistics Series
Sold by:	Barnes & Noble
Format:	eBook
Pages:	464
File size:	3 MB

About the Author

Lyle D. Broemeling

Table of Contents

Introduction to Bayesian Methods in Epidemiology. A Bayesian Perspective of Association between Risk Exposure and Disease. Bayesian Methods of Adjustment of Data. Regression Methods for Adjustment. A Bayesian Approach to Life Tables. A Bayesian Approach to Survival Analysis. Screening for Disease. Statistical Models for Epidemiology. Appendices. Index.

Editorial Reviews

"… the only book that I am aware of in literature that introduces epidemiology from a Bayesian point of view. … Each concept has been introduced in its standard definition as well as its analogy in the Bayesian approach, thereby making it easier for non-Bayesian researchers to understand. The book is very well written and structured in a way that makes the comprehension of the introduced concepts very smooth. The comprehensive range of covered topics is impressive but not daunting. … a great textbook for any researcher with considerable statistical background who is interested in applying Bayesian methods to public health data. … useful as a refresher course … I would highly recommend Bayesian Methods in Epidemiology as an introductory text to the subject as a whole. … also a valuable resource for experienced Bayesian analysts."
—Statistics in Medicine, 34, 2015

"This is a useful and interesting book … This book will help initiate those unfamiliar with Bayesian principles in Bayesian thinking and further implement Bayesian methodology in solving problems of import in medical applications. … an exciting book, which I believe has the potential to help public health practitioners identify important risk factors for disease and make important policy decisions."
—International Statistical Review, 82, 2014

"This book consists of some examples of Bayesian methods applications to the analysis of epidemiological statistical data. It covers analysis of associations between risk exposures and diseases; adjustment of mortality data; regression methods; life tables analysis; survival analysis with Bayesian Kaplan-Meyer methods and Cox proportional hazards models; and screening for diseases."
—R.E. Maiboroda, Zentralblatt MATH

"…by reading the book and working through the author’s examples, and the examples at the end of each chapter, analysts working in epidemiology are supposed to gain an understand

From the Publisher