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Estimation in Bayesian Disease Mapping

Author

Listed:
  • Ying C. MacNab
  • Patrick J. Farrell
  • Paul Gustafson
  • Sijin Wen

Abstract

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Suggested Citation

  • Ying C. MacNab & Patrick J. Farrell & Paul Gustafson & Sijin Wen, 2004. "Estimation in Bayesian Disease Mapping," Biometrics, The International Biometric Society, vol. 60(4), pages 865-873, December.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:4:p:865-873
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00241.x
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    References listed on IDEAS

    as
    1. Roger J. Marshall, 1991. "Mapping Disease and Mortality Rates Using Empirical Bayes Estimators," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(2), pages 283-294, June.
    2. Ying C. MacNab, 2003. "Hierarchical Bayesian Modeling of Spatially Correlated Health Service Outcome and Utilization Rates," Biometrics, The International Biometric Society, vol. 59(2), pages 305-315, 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.
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    Cited by:

    1. Woojoo Lee & Hans‐Peter Piepho & Youngjo Lee, 2021. "Resolving the ambiguity of random‐effects models with singular precision matrix," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 75(4), pages 482-499, November.
    2. Geòrgia Escaramís & Josep L. Carrasco & Carlos Ascaso, 2008. "Detection of Significant Disease Risks Using a Spatial Conditional Autoregressive Model," Biometrics, The International Biometric Society, vol. 64(4), pages 1043-1053, December.
    3. MacNab, Ying C. & Lin, Yi, 2009. "On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2950-2967, June.
    4. Ying C. MacNab, 2018. "Rejoinder on: Some recent work on multivariate Gaussian Markov random fields," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 554-569, September.
    5. Ugarte, M.D. & Goicoa, T. & Militino, A.F., 2009. "Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2938-2949, June.
    6. Youngjo Lee & Myoungjin Jang & Woojoo Lee, 2011. "Prediction interval for disease mapping using hierarchical likelihood," Computational Statistics, Springer, vol. 26(1), pages 159-179, March.

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