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Information Journal Paper

Title

Bayesian Generalized Linear Mixed Modeling of Breast Cancer

Pages

  1043-1051

Abstract

 Background: Breast cancer is one of the most common cancers among women. Breast cancer treatment strate-gies in Nigeria need urgent strengthening to reduce mortality rate because of the disease. This study aimed to determine the relationship between the ages at diagnosis and established the prognostic factors of modality of treatment given to Breast cancer patient in Nigeria. Methods: The data was collected for 247 women between years 2011-2015 who had Breast cancer in two dif-ferent hospitals in Ekiti State, Nigeria. Model estimation is based on Bayesian approach via Markov Chain Mon-te Carlo. A Multilevel model based on generalized linear mixed model is used to estimate the random effect. Results: The mean age of the patients (at the time of diagnosis) was 42. 2 yr with 52% of the women aged be-tween 35-49 yr. The results of the two approaches are almost similar but preference is given to Bayesian because the approach is more robust than the frequentist. Significant factors of treatment modality are age, educational level and Breast cancer type. Conclusion: Differences in socio-demographic factors such as educational level and age at diagnosis signifi-cantly influence the modality of Breast cancer treatment in western Nigeria. The study suggests the use of Bayes-ian Multilevel approach in analyzing Breast cancer data for the practicality, flexibility and strength of the method.

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    APA: Copy

    ROPO EBENEZER, Ogunsakin, & LOUGUE, Siaka. (2019). Bayesian Generalized Linear Mixed Modeling of Breast Cancer. IRANIAN JOURNAL OF PUBLIC HEALTH, 48(6), 1043-1051. SID. https://sid.ir/paper/274958/en

    Vancouver: Copy

    ROPO EBENEZER Ogunsakin, LOUGUE Siaka. Bayesian Generalized Linear Mixed Modeling of Breast Cancer. IRANIAN JOURNAL OF PUBLIC HEALTH[Internet]. 2019;48(6):1043-1051. Available from: https://sid.ir/paper/274958/en

    IEEE: Copy

    Ogunsakin ROPO EBENEZER, and Siaka LOUGUE, “Bayesian Generalized Linear Mixed Modeling of Breast Cancer,” IRANIAN JOURNAL OF PUBLIC HEALTH, vol. 48, no. 6, pp. 1043–1051, 2019, [Online]. Available: https://sid.ir/paper/274958/en

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