Statistical Methods in Spatial Epidemiology
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Statistical Methods in Spatial Epidemiology

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Published by John Wiley and Sons Ltd .
Written in English

Subjects:

  • Epidemiology & medical statistics,
  • Medical,
  • Epidemiology

Book details:

The Physical Object
FormatHardcover
Number of Pages424
ID Numbers
Open LibraryOL10278471M
ISBN 100470035773
ISBN 109780470035771

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This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models.   This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical. Statistical Methods in Spatial Epidemiology. Spatial Epidemiology is a rapidly growing field of research concerned with the analysis of the geographical distribution of disease.

The second part presents basic statistical methods used in spatial epidemiology, including fundamental likelihood principles, Bayesian methods, and testing and nonparametric approaches. With a focus on special methods, the third part describes geostatistical models, splines, quantile regression, focused clustering, mixtures, multivariate methods, and much more. Next, this chapter discusses various spatial regression methods used in spatial epidemiology for accounting spatial dependency and/or spatial heterogeneity in modeling the relationships between neighborhood characteristics and health outcomes, including spatial econometric models, Bayesian spatial models, and multilevel spatial models.   The author describes statistically sophisticated approaches using a Poisson process formulation, with the use of a clustering model based on an unknown number of clusters. The author is one of the pioneers of this approach in spatial : Jon Wakefield. PDF | On Jan 1, , Martin Kulldorff and others published Statistical Methods for Spatial Epidemiology: Tests for Randomness | Find, read and cite Author: Martin Kulldorff.

  This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic : Wiley. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book Author: Andrew B Lawson. ronmental, epidemiological and statistical challenges discussed are applicable in the wider environmental context. Quantifying the impact of air pollution is an inherently spatial as well as a temporal problem, because air pollution concentrations vary at ne spatio-temporal scales. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic : Pasta dura.