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Statistical Methods for Disease Clustering

Name: Statistical Methods for Disease Clustering
Brand: Springer-Verlag New York Inc.
SKU: 9781441915719
Price: 43628 HUF
Availability: InStock

Szerző: Toshiro Tango

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten alacsony példányszámban

Küldés 11-15 napon belül

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The development of powerful computing environment and the geographical information system (GIS) in r...

Információk a könyvről

Szerző

Toshiro Tango

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2010

oldal

240

EAN

9781441915719

ISBN

1441915710

Enbook ID

01420674

Kiadó

Springer-Verlag New York Inc.

Súly

544

Méretek

168 x 241 x 19

Teljes leírás

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.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.

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