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Information Journal Paper

Title

AN ADDITIVE MODEL FOR SPATIO-TEMPORAL SMOOTHING OF CANCER MORTALITY RATES

Pages

  55-70

Abstract

 In this paper, a Bayesian hierarchical model is used to analyze the female breast CANCER MORTALITY rates for the State of Missouri from 1969 through 2001. The logit transformations of the mortality rates are assumed to be linear over the time with additive spatial and age effects as intercepts and slopes. Objective priors of the hierarchical model are explored. The Bayesian estimates are quite robustness in terms change of the hyperparamaters. The spatial correlations are appeared in both intercepts and slopes.

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    • Cite

    APA: Copy

    WHITE, G., SUN, D., & SCHOOTMAN, M.. (2007). AN ADDITIVE MODEL FOR SPATIO-TEMPORAL SMOOTHING OF CANCER MORTALITY RATES. IRANIAN JOURNAL OF MATHEMATICAL SCIENCES AND INFORMATICS (IJMSI), 2(1), 55-70. SID. https://sid.ir/paper/310306/en

    Vancouver: Copy

    WHITE G., SUN D., SCHOOTMAN M.. AN ADDITIVE MODEL FOR SPATIO-TEMPORAL SMOOTHING OF CANCER MORTALITY RATES. IRANIAN JOURNAL OF MATHEMATICAL SCIENCES AND INFORMATICS (IJMSI)[Internet]. 2007;2(1):55-70. Available from: https://sid.ir/paper/310306/en

    IEEE: Copy

    G. WHITE, D. SUN, and M. SCHOOTMAN, “AN ADDITIVE MODEL FOR SPATIO-TEMPORAL SMOOTHING OF CANCER MORTALITY RATES,” IRANIAN JOURNAL OF MATHEMATICAL SCIENCES AND INFORMATICS (IJMSI), vol. 2, no. 1, pp. 55–70, 2007, [Online]. Available: https://sid.ir/paper/310306/en

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