Statistical Methods for Disease Clustering

Tango, Toshiro

ISBN 10: 1441915710 / ISBN 13: 9781441915719

Edité par Springer, New York, 2010

A propos de cet article

Hardcover with printed boards, no dust jacket, in very good condition. Boards are slightly scuffed. Lower board edges and spine foot are slightly bumped. Binding is sound and pages are clear. LW.

N° de réf. du vendeur 549536

Détails bibliographiques

• Titre: Statistical Methods for Disease Clustering
• Éditeur: Springer, New York
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 1441915710
• ISBN à 13 chiffres: 9781441915719
• Reliure: Hardcover
• État de l'article: Very Good
• État de la jaquette: No Dust Jacket
• Type de livre: Used
• Catalogues du vendeur:
  • Research Methods/Statistics/Information Sys

A propos de ce titre

Synopsis

This book is intended to provide a text on statistical methods for detecting clus ters and/or clustering of health events that is of interest to ?nal year undergraduate and 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 scien tists, 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. Further more, 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 re cently been published. However, it seems to me that there is no other book solely focusing on statistical methods for disease clustering. I hope that readers will ?nd this book useful and interesting as an introduction to the subject.

Présentation de l'éditeur

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.