Statistical Methods in Spatial Epidemiology (Wiley Series in Probability and Statistics) - Hardcover

"...an important collection of methodologies for spatial clustering and modeling and brings together interesting applications previously dispersed throughout the literature..." (Annals of the Association of American Geographers) "The book is laid out in two sections...there are several technical appendixes, including one on software." (Technometrics, Vol. 43, No. 4, November 2001) "...surveys the most of the statistical methods currently available in spatial epidemiology..." (SciTech Book News, Vol. 25, No. 4, December 2001) "a good general introduction" (Short Book Reviews, December 2001) "...represents a good general introduction to spatial epidemiology... I can therefore recommend the book to...a mixed audience." (Short Book Reviews, Vol. 21, No. 3, December 2001) "I found this book very interesting" (Int Jnl of Epidemiology, Vol.30, No.6, 2001) "a coherent and comprehensive view...I really enjoyed reading this volume." (Biometrical Journal, Vol.43, No.7, 2001) "This book is an excellent and complete review of what is going on in the spatial epidemiology world...exciting reading, providing valuable tools for opening the doors to future research work..." (Mathematical Reviews 2002) "This book will therefore find a welcome home on my bookshelf..." (Biometrics, June 2002)

Spatial Epidemiology is a rapidly growing field of research concerned with the analysis of the geographical distribution of disease. This principally involves mapping the location of disease cases and the analysis of the mapped data using spatial statistical methods. The growth of the field looks set to continue in line with increasing public, government and media concern about environmental and health issues. Comprehensive overview of the main statistical methods used in spatial epidemiology Contains many data examples -- each represents a different approach to the analysis, and provides an insight into the various modelling techniques Describes modern simulation--based methods suitable for highly complex modelling problems Discusses the wide range of software available for analysing spatial data Contains an extensive bibliography The first part of the book provides all the necessary definitions and terminology, introduces some data examples, and considers map construction along with some basic models. The second part covers important problems in spatial epidemiology, with detailed coverage of disease mapping, ecological analysis, disease clustering and infectious disease modelling. Primarily aimed at medical statisticians, epidemiologists, environmental statisticians, and researchers in public health, this text will also appeal to postgraduate students of statistics or epidemiology.