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    • Graduate School - MU Theses and Dissertations (MU)
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    • 2018 Dissertations (MU)
    • 2018 MU dissertations - Freely available online
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    Bayesian hierarchical modeling of colorectal and breast cancer data in Missouri

    Du, Jiang, 1989-
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    [PDF] research.pdf (19.19Mb)
    Date
    2018
    Format
    Thesis
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    Abstract
    Data on cancer in the United States is collected through cancer registries. The Missouri Cancer Registry and Research Center (MCR-ARC) maintains a statewide cancer surveillance system and participate in research in support of the prevention of cancer and the reduction of the cancer burden among Missouri residents. We applied Bayesian hierarchical models to colorectal cancer (CRC) and breast cancer related data collected by the MCR-ARC. In the first project, CRC incidence and mortality rates in Missouri were studied with emphasis on different groups of people categorized by age, gender and county at diagnosis. The incidence and mortality data were aggregated into different spatial regions due to data confidential requirements, which was identified as a misaligned-region problem in multivariate disease mapping literature. The Marginally and Conditionally CAR models were built to address the problem. Later on, colorectal cancer screening (CRCS) prevalences were analyzed due to its importance to the early detection of CRC. We applied small area estimation techniques to produce county-level CRCS prevalences from the state-level Behavioral Risk Factor Surveillance System (BRFSS) data. The last two projects focused on breast cancer related data. One is about breast cancer survival analysis in Missouri with emphasis on detecting the spatial variation of survival time among counties in Missouri, after accounting for the differences in demographic and cancer stages. The other one is studying the disparities of breast cancer treatment delay with respect to patient's race, age, stage of cancer, county at diagnosis and year of diagnosis.
    URI
    https://hdl.handle.net/10355/66162
    https://doi.org/10.32469/10355/66162
    Degree
    Ph. D.
    Thesis Department
    Statistics (MU)
    Rights
    OpenAccess.
    This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
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    • Statistics electronic theses and dissertations (MU)
    • 2018 MU dissertations - Freely available online

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