ISSN:
1614-0176
Keywords:
Keywords: Cancer atlas, cluster model, disease mapping, Markov random field, relative risk.
Source:
Springer Online Journal Archives 1860-2000
Topics:
Mathematics
Notes:
Summary: This paper starts with a short overview of basic concepts in disease mapping such as relative risk and age-standardization. Then two recent methods for advanced statistical analysis of areal summary measures of health outcomes are reviewed which overcome difficulties in traditional mapping methods. Both methods account for spatial correlation in a hierarchical Bayesian framework and use computer-intensive Markov chain Monte Carlo methods for statistical inference. The methods are compared through analyses of cancer morality data from Germany, 1986–1990.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/s101820050012
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