Bayesian Detection and Modeling of Spatial Disease Clustering

DOI10.1111/j.0006-341X.2000.00922.xzbMath1060.62610OpenAlexW2131528659WikidataQ52074160 ScholiaQ52074160MaRDI QIDQ4670442

Murray K. Clayton, Ronald E. Gangnon

Publication date: 22 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.2000.00922.x

zbMATH Keywords

Monte CarloleukemiaBayesian model averagingPoissonspatial patternMarkov connected component fielddisease clustering

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

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Cites Work

• Bayesian image restoration, with two applications in spatial statistics (with discussion)
• A test to detect clusters of disease
• Model Selection and Accounting for Model Uncertainty in Graphical Models Using Occam's Window
• Hierarchical Spatio-Temporal Mapping of Disease Rates
• Markov connected component fields
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