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Bayesian Detection and Modeling of Spatial Disease Clustering

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  • Ronald E. Gangnon
  • Murray K. Clayton

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  • Ronald E. Gangnon & Murray K. Clayton, 2000. "Bayesian Detection and Modeling of Spatial Disease Clustering," Biometrics, The International Biometric Society, vol. 56(3), pages 922-935, September.
    • Handle: RePEc:bla:biomet:v:56:y:2000:i:3:p:922-935
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2000.00922.x
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    References listed on IDEAS

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    1. Peter J. Diggle, 1990. "A Point Process Modelling Approach to Raised Incidence of a Rare Phenomenon in the Vicinity of a Prespecified Point," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 153(3), pages 349-362, May.
    2. Julian Besag & James Newell, 1991. "The Detection of Clusters in Rare Diseases," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 154(1), pages 143-155, January.
    3. Selvin, S. & Schulman, J. & Merrill, D. W., 1992. "Distance and risk measures for the analysis of spatial data: A study of childhood cancers," Social Science & Medicine, Elsevier, vol. 34(7), pages 769-777, April.
    4. Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
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    Cited by:

    1. Dayton M. Lambert & Kevin T. McNamara, 2009. "Location determinants of food manufacturers in the United States, 2000–2004: are nonmetropolitan counties competitive?," Agricultural Economics, International Association of Agricultural Economists, vol. 40(6), pages 617-630, November.
    2. K C Flórez & A Corberán-Vallet & A Iftimi & J D Bermúdez, 2020. "A Bayesian unified framework for risk estimation and cluster identification in small area health data analysis," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-17, May.
    3. Sam Hui & Eric Bradlow, 2012. "Bayesian multi-resolution spatial analysis with applications to marketing," Quantitative Marketing and Economics (QME), Springer, vol. 10(4), pages 419-452, December.
    4. Minge Xie & Qiankun Sun & Joseph Naus, 2009. "A Latent Model to Detect Multiple Clusters of Varying Sizes," Biometrics, The International Biometric Society, vol. 65(4), pages 1011-1020, December.
    5. Shang, Zuofeng, 2012. "On latent process models in multi-dimensional space," Statistics & Probability Letters, Elsevier, vol. 82(7), pages 1259-1266.
    6. Junho Lee & Ying Sun & Huixia Judy Wang, 2021. "Spatial cluster detection with threshold quantile regression," Environmetrics, John Wiley & Sons, Ltd., vol. 32(8), December.

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