Spatial Epidemiology is a rapidly growing field of research concerned with the ysis of the geographical distribution of disease. This principally involves mapping the location of disease cases and the ysis of the mapped data using spatial statistical methods. The growth of the field looks set to continue in line with increasing public, government and media concern about environmental and health issues.
∗ Comprehensive overview of the main statistical methods used in spatial epidemiology
∗ Contains many data examples – each represents a different approach to the ysis, and provides an insight into the various modelling techniques
∗ Describes modern simulation–based methods suitable for highly complex modelling problems
∗ Discusses the wide range of software available for ysing spatial data
∗ Contains an extensive bibliography
The first part of the book provides all the necessary definitions and terminology, introduces some data examples, and considers map construction along with some basic models. The second part covers important problems in spatial epidemiology, with detailed coverage of disease mapping, ecological ysis, disease clustering and infectious disease modelling.
Primarily aimed at medical statisticians, epidemiologists, environmental statisticians, and researchers in public health, this text will also appeal to postgraduate students of statistics or epidemiology.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Spatial epidemiology is a rapidly growing field of research concerned with the analysis of the geographical distribution of disease. This principally involves mapping the location of disease cases and the analysis of mapped data using spatial statistical methods. The growth of the field looks set to continue in line with increasing public, government and media concern about environmental issues.
∗ Comprehensive overview of the main statistical methods used in spatial epidemiology
∗ Contains many data examples – each represents a different approach to the analysis, and provides an insight into the various modelling techniques
∗ Describes modern simulation–based methods suitable for highly complex modelling problems
∗ Discusses the wide range of software available for analysing spatial data
∗ Contains an extensive bibliography
The first part of the book provides all the necessary definitions and terminology, introduces some data examples, and considers map construction along with some basic models. The second part covers important problems in spatial epidemiology, with detailed coverage of disease mapping, ecological analysis, disease clustering, and infectious disease modelling.
Primarily aimed at medical statisticians, epidemiologists, environmental statisticians, and researchers in public health, this text will also appeal to postgraduate students of statistics or epidemiology.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Zustand: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail. Bestandsnummer des Verkäufers OTV.0471975729.G
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