Bayesian Methods in Epidemiology

• 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.

"… 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