Statistical Methods For Disease Clustering (statistics For Biology And Health)
by Toshiro Tango /
2010 / English / PDF
10.3 MB Download
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.
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.