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Assessment of spatial variation in breast cancer-specific mortality using Louisiana SEER data

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  • Carroll, Rachel
  • Lawson, Andrew B.
  • Jackson, Chandra L.
  • Zhao, Shanshan

Abstract

Previous studies suggest spatial differences in mortality for many types of cancer, including breast cancer. Identifying explanations for these spatial differences results in a better understanding of what leads to longer survival time.

Suggested Citation

  • Carroll, Rachel & Lawson, Andrew B. & Jackson, Chandra L. & Zhao, Shanshan, 2017. "Assessment of spatial variation in breast cancer-specific mortality using Louisiana SEER data," Social Science & Medicine, Elsevier, vol. 193(C), pages 1-7.
    • Handle: RePEc:eee:socmed:v:193:y:2017:i:c:p:1-7
    DOI: 10.1016/j.socscimed.2017.09.045
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    References listed on IDEAS

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    1. Jiajia Zhang & Andrew B. Lawson, 2011. "Bayesian parametric accelerated failure time spatial model and its application to prostate cancer," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(3), pages 591-603, November.
    2. Bin Zou & Fen Peng & Neng Wan & Keita Mamady & Gaines J Wilson, 2014. "Spatial Cluster Detection of Air Pollution Exposure Inequities across the United States," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-14, March.
    3. Warnecke, R.B. & Oh, A. & Breen, N. & Gehlert, S. & Paskett, E. & Tucker, K.L. & Lurie, N. & Rebbeck, T. & Goodwin, J. & Flack, J. & Srinivasan, S. & Kerner, J. & Heurtin-Roberts, S. & Abeles, R. & Ty, 2008. "Approaching health disparities from a population perspective: The National Institutes of Health Centers for Population Health and Health Disparities," American Journal of Public Health, American Public Health Association, vol. 98(9), pages 1608-1615.
    4. Yi Li & Louise Ryan, 2002. "Modeling Spatial Survival Data Using Semiparametric Frailty Models," Biometrics, The International Biometric Society, vol. 58(2), pages 287-297, June.
    5. Youngjoo Cho & Debashis Ghosh, 2015. "Weighted Estimation of the Accelerated Failure Time Model in the Presence of Dependent Censoring," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-22, April.
    6. Henderson R. & Shimakura S. & Gorst D., 2002. "Modeling Spatial Variation in Leukemia Survival Data," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 965-972, December.
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    Cited by:

    1. Anis Kausar Ghazali & Thomas Keegan & Benjamin M. Taylor, 2021. "Spatial Variation of Survival for Colorectal Cancer in Malaysia," IJERPH, MDPI, vol. 18(3), pages 1-12, January.

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