Author: Toshiro Tango
Edition: 2010
Publisher: Springer
Binding: Hardcover
ISBN: 1441915710
Statistical Methods for Disease Clustering (Statistics for Biology and Health)
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. Medical books Statistical Methods for Disease Clustering . 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 Medical books Statistical Methods For Disease Clustering Tango, Toshiro. author toshiro tango format hardback language english publication year 18 02 2010 series statistics for biology and health subject mathematics sciences subject 2 mathematics title statistical methods for disease clustering author tango toshiro publisher springer verlag publication date mar 01 2010 pages 247 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 0 75 d isbn 1441915710 subject mathematics probability statistics general description the development of powerful computing environ
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author toshiro tango format hardback language english publication year 18 02 2010 series statistics for biology and health subject mathematics sciences subject 2 mathematics title statistical methods for disease clustering author tango toshiro publisher springer verlag publication date mar 01 2010 pages 247 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 0 75 d isbn 1441915710 subject mathematics probability statistics general description the development of powerful computing environ
Statistical Methods for Disease Clustering
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This book offers a modern perspective on statistical methods for detecting disease clustering. It offers analysis and illustration of methods for a variety of real data sets, and will provide an invaluable resource for a wide ranging of audience.
Medical Book Statistical Methods for Disease Clustering
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.
