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Bayesian Disease Mapping - 9781584888406

Un libro in lingua di Lawson Andrew B. edito da Taylor & Francis, 2008

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Lawson (biostatistics, Medical U. of South Carolina) explores Bayesian hierarchical modeling and its application to the geographical analysis of disease. He introduces Bayesian inference and modeling, then centers on computation, including Markov chain Monte Carlo methods and Metropolis or Metropolis-Hastings algorithms, perfect sampling, posterior and likelihood approximations, residuals, and goodness-of-fit. He then applies these basic techniques to general themes, including disease map reconstruction and relative risk estimation, disease cluster detection, ecological analysis, multiple scale analysis, multivariant disease analysis, spatial survival and longitudinal analysis, and spatiotemporal disease mapping. Lawson's appendices include information on basic R and WinBUGS code. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

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