A Spatial and Temporal Analysis of the Socioeconomic Factors Associated with Breast Cancer in Illinois Using Geographically Weighted Generalized Linear Regression-Reference-Cited by-同舟云学术

A Spatial and Temporal Analysis of the Socioeconomic Factors Associated with Breast Cancer in Illinois Using Geographically Weighted Generalized Linear Regression

Published:2018-02-06 Issue:1 Volume:2 Page:
ISSN:2509-8810
Container-title:Journal of Geovisualization and Spatial Analysis
language:en
Short-container-title:J geovis spat anal

Author:

Chen Xuwei^ORCID

Funder

Northern Illinois University

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Link

http://link.springer.com/article/10.1007/s41651-017-0011-5/fulltext.html

Reference66 articles.

1. Akaike H (1974) A new look at the statistical model identification. In: Parzen E, Tanabe K, Kitagawa G (eds) Selected papers of Hirotugu Akaike. Springer series in statistics (perspectives in statistics). Springer, New York. https://doi.org/10.1007/978-1-4612-1694-0_16

2. Akinyemiju TF, Pisu M, Waterbor JW, Altekruse SF (2015) Socioeconomic status and incidence of breast cancer by hormone receptor subtype. SpringerPlus 4(1):508. https://doi.org/10.1186/s40064-015-1282-2

3. American Cancer Society (ACS) (2015) Breast cancer facts & figures 2015–2016. American Cancer Society, Inc., Atlanta

4. Andaya AA, Enewold L, Horner MJ, Jatoi I, Shriver CD, Zhu K (2012) Socioeconomic disparities and breast cancer hormone receptor status. Cancer Causes Control 23(6):951–958. https://doi.org/10.1007/s10552-012-9966-1

5. Bakken K, Fournier A, Lund E, Waaseth M, Dumeaux V, Clavel-Chapelon F, Fabre A et al. (2011) “Menopausal hormone therapy and breast cancer risk: impact of different treatments. The european prospective investigation into cancer and nutrition.” Int J Cancer 128(1):144–56. https://doi.org/10.1002/ijc.25314

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