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A Latent Model to Detect Multiple Clusters of Varying Sizes

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  • Minge Xie
  • Qiankun Sun
  • Joseph Naus

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  • 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.
    • Handle: RePEc:bla:biomet:v:65:y:2009:i:4:p:1011-1020
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2009.01197.x
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    References listed on IDEAS

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    1. Wei Pan, 2001. "Akaike's Information Criterion in Generalized Estimating Equations," Biometrics, The International Biometric Society, vol. 57(1), pages 120-125, March.
    2. Nicolas Molinari & Chistophe Bonaldi & Jean-Pierre Daurés, 2001. "Multiple Temporal Cluster Detection," Biometrics, The International Biometric Society, vol. 57(2), pages 577-583, June.
    3. 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.
    4. D. G. T. Denison & C. C. Holmes, 2001. "Bayesian Partitioning for Estimating Disease Risk," Biometrics, The International Biometric Society, vol. 57(1), pages 143-149, March.
    5. 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.
    6. Xiaoping Su & Sylvan Wallenstein & David Bishop, 2001. "Nonoverlapping Clusters: Approximate Distribution and Application to Molecular Biology," Biometrics, The International Biometric Society, vol. 57(2), pages 420-426, June.
    7. Leonhard Knorr-Held & Günter Raßer, 2000. "Bayesian Detection of Clusters and Discontinuities in Disease Maps," Biometrics, The International Biometric Society, vol. 56(1), pages 13-21, March.
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    Cited by:

    1. Kunihiko Takahashi & Hideyasu Shimadzu, 2018. "Multiple-cluster detection test for purely temporal disease clustering: Integration of scan statistics and generalized linear models," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-15, November.

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