Statistical Methods for Disease Clustering Hardcover - 2010 - 2010th Edition
by Toshiro Tango
From the rear cover
The development of powerful computing environment and the geographical information system (GIS) in recent decades has thrust the analysis of geo-referenced disease incidence data into the mainstream of spatial epidemiology. This book offers a modern perspective on statistical methods for detecting disease clustering, an indispensable procedure to find a statistical evidence on aetiology of the disease under study.
With increasing public health concerns about environmental risks, the need for sophisticated methods for analyzing spatial health events is immediate. Furthermore, the research area of statistical methods for disease clustering now attracts a wide audience due to the perceived need to implement wide-ranging monitoring systems to detect possible health-related events such as the occurrence of the severe acute respiratory syndrome (SARS), pandemic influenza and bioterrorism
As an invaluable resource for a wide range of audience including public health researchers, epidemiologists and biostatistians, this book features:
- A concise introduction to basic concepts of disease clustering/clusters
- A historical overview of methods for disease clustering
- A detailed treatment of selected methods useful for practical investigation of disease clustering
- Analysis and illustration of methods for a variety of real data sets
Toshiro Tango, Ph.D., is the Director of Department of Technology Assessment and Biostatistics of National Institute of Public Health, Japan. He has published a number of methodological and applied articles on various aspects of biostatistics. He is Past President of the Japanese Region of the International Biometric Society. He has served as Associate Editor for several journals including Statistics in Medicine and Biometrics.
Details
- Title Statistical Methods for Disease Clustering
- Author Toshiro Tango
- Binding Hardcover
- Edition number 2010th
- Edition 2010
- Pages 240
- Volumes 1
- Language ENG
- Publisher Springer
- Date 2010-02-01
- Illustrated Yes
- Features Bibliography, Illustrated, Index
- ISBN 9781441915719 / 1441915710
- Weight 1.19 lbs (0.54 kg)
- Dimensions 9.21 x 6.14 x 0.63 in (23.39 x 15.60 x 1.60 cm)
-
Themes
- Aspects (Academic): Science/Technology Aspects
- Library of Congress subjects Data Interpretation, Statistical, Epidemiology - Statistical methods
- Library of Congress Catalog Number 2010920016
- Dewey Decimal Code 614.407
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