Statistical Methods for Disease Clustering
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 persp
- PDF / 10,141,747 Bytes
- 249 Pages / 439.37 x 666.142 pts Page_size
- 60 Downloads / 357 Views
For other titles published in this series, go to http://www.springer.com/series/2848
Toshiro Tango
Statistical Methods for Disease Clustering
Toshiro Tango Department of Technology Assesment & Biostatistics National Institute of Public Health 3-6 Minami 2 chome Wako, Saitama 351-0197 Japan [email protected] Editors: M. Gail National Cancer Institute Bethesda, MD 20892 USA Jonathan M. Samet Department of Preventive Medicine Keck School of Medicine University of Southern California 1441 Eastlake Ave. Room 4436, MC 9175 Los Angeles, CA 90089 USA
K. Krickeberg Le Chatelet F-63270 Manglieu France A. Tsiatis Department of Statistics North Carolina State University Raleigh, NC 27695 USA
W. Wong Department of Statistics Stanford University Stanford, CA 94305-4065 USA
ISSN 1431-8776 ISBN 978-1-4419-1571-9 e-ISBN 978-1-4419-1572-6 DOI 10.1007/978-1-4419-1572-6 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2010920016 © Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights.
Printed on acid-free paper
Springer is part of Springer Science+Business Media (www.springer.com)
Preface
This book is intended to provide a text on statistical methods for detecting clusters and/or clustering of health events that is of interest to final-year undergraduateand graduate-level statistics, biostatistics, epidemiology, and geography students but will also be of relevance to public health practitioners, statisticians, biostatisticians, epidemiologists, medical geographers, human geographers, environmental scientists, and ecologists. Prerequisites are introductory biostatistics and epidemiology courses. 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 tests for disease clustering now attracts a wide audience due to the perceived need to implement wide-ranging monitoring systems to detect possible health-related bioterrorism activity. With this background and the development of the geographical information system (GIS), the analysis of disease clustering of health events has seen considerable development over the last decade. Therefore, several excellent books on spatial epidemiology and statistics have recently been published. However, it seems to me t
Data Loading...
