Overview
- Historical overview of methods for disease clustering
- Detailed treatment of selected methods useful for practical investigation of disease clustering
- Analysis and illustration of methods for a variety of real data sets
- Includes supplementary material: sn.pub/extras
Part of the book series: Statistics for Biology and Health (SBH)
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Table of contents (9 chapters)
Keywords
About this book
Reviews
From the reviews:
“There is an increasing awareness nowadays of environmental health risks, including bioterrorism, together with the development of modern data collection systems. This combination provides a major impetus for the sorts of studies described in this book. … Overall, the book is very practically oriented. … The explanations of the methods are very clear and detailed and the discussion is informative. … the book will be of good use to the novice coming into the subject and also for the initiated wishing to broaden their perspective.” (Martin Crowder, International Statistical Review, Vol. 79 (2), 2011)
“The first introductory chapter informs the reader about the basic classification of disease clustering (temporal clustering, spatial clustering, and space–time clustering), the data used in examples, and software (like R, SaTScan, FleXScan, Splancs). … The suitable audience are experts’ communities either in the medical field or in the mathematical modeling field with the focus on data mining and clustering.” (Adriana Hornikova, Technometrics, Vol. 53 (2), May, 2011)
Authors and Affiliations
Bibliographic Information
Book Title: Statistical Methods for Disease Clustering
Authors: Toshiro Tango
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-1-4419-1572-6
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2010
Hardcover ISBN: 978-1-4419-1571-9Published: 01 February 2010
Softcover ISBN: 978-1-4614-2556-4Published: 03 May 2012
eBook ISBN: 978-1-4419-1572-6Published: 09 January 2010
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 1
Number of Pages: VIII, 240
Topics: Probability Theory and Stochastic Processes, Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Epidemiology, Public Health, Cancer Research