Focusing on data commonly found in public health databases and clinical settings, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology provides an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. The book explores a range of topics in Bayesian inference and
Berchuck, S., M. Janko, F. Medeiros, W. Pan, and S. Mukherjee (2019). Bayesian non-parametric factor analysis for longitudinal spatial surfaces. arxiv:1911.04337v1. prepub. Berman, M. and T. R. Turner (1992).
mapping. Environmetrics, 14:475–490. Lambert, D. (1992). Zero-inflated Poisson regression, with an application to ... Multilevel modelling of the geographical distributions of diseases. ... Disease Mapping with WinBUGS and MLwiN.
Providing a unified framework on the principles and applications of the science of health disparities research, this important volume: Defines the field of health disparities science and suggests new directions in scholarship and research ...
It is possible to calculate exact maximum likelihood estimates by using Gauss - Hermite quadrature estimation ( see , for example , Hedeker and Gibbons , 1994 , and Rabe - Hesketh et al . , 2001 ) but typically these methods are time ...
Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using ...
Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: ...
Bayesian detection of clusters and discontinuities in disease maps. Biometrics 56, 13–21. ... Modelling disease incidence data with spatial and spatio-temporal Dirichlet process mixtures. ... Disease Mapping with WinBUGS and MLwiN.
Lawson A 2009Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology. Chapmand and Hall/CRC, New York. ... Lawson A, Browne W and Vidal Rodeiro C 2003 Disease Mapping with WinBUGS and MLwiN, v2.10.
This is a new paperback edition of the well received text Spatial Epidemiology: Methods and Applications. It is an easy to read, clear and concise exploration of the field of...
Provides an accessible foundation to Bayesian analysis using real world models This book aims to present an introduction to Bayesian modelling and computation, by considering real case studies drawn from diverse fields spanning ecology, ...