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Application of Logistic Regression Model in an Epidemiological Study

Received: 13 July 2015     Accepted: 22 July 2015     Published: 17 September 2015
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Abstract

This paper use the logistic regression model to an epidemiological study, i.e. bovine tuberculosis (bTB) occurrence in cattle herds, together with well-established risk factors in the area known as West Wicklow, in the east of Ireland. The binary target variable is whether the herd is in the restricted status, which is defined by whether any bTB reactor is detected in the herd. With the stepwise variables selection procedure, a final logistical regression model is found to adequately describe the data. Herd bTB incidence was positively associated with annual total rainfall, herd size and a herd bTB history in the previous three years, and presence /absence of commonage.

Published in Science Journal of Applied Mathematics and Statistics (Volume 3, Issue 5)
DOI 10.11648/j.sjams.20150305.12
Page(s) 225-229
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Logistic Regression, Bovine Tuberculosis, Stepwise Variables Selection

References
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  • APA Style

    Renhao Jin, Fang Yan, Jie Zhu. (2015). Application of Logistic Regression Model in an Epidemiological Study. Science Journal of Applied Mathematics and Statistics, 3(5), 225-229. https://doi.org/10.11648/j.sjams.20150305.12

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    ACS Style

    Renhao Jin; Fang Yan; Jie Zhu. Application of Logistic Regression Model in an Epidemiological Study. Sci. J. Appl. Math. Stat. 2015, 3(5), 225-229. doi: 10.11648/j.sjams.20150305.12

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    AMA Style

    Renhao Jin, Fang Yan, Jie Zhu. Application of Logistic Regression Model in an Epidemiological Study. Sci J Appl Math Stat. 2015;3(5):225-229. doi: 10.11648/j.sjams.20150305.12

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  • @article{10.11648/j.sjams.20150305.12,
      author = {Renhao Jin and Fang Yan and Jie Zhu},
      title = {Application of Logistic Regression Model in an Epidemiological Study},
      journal = {Science Journal of Applied Mathematics and Statistics},
      volume = {3},
      number = {5},
      pages = {225-229},
      doi = {10.11648/j.sjams.20150305.12},
      url = {https://doi.org/10.11648/j.sjams.20150305.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjams.20150305.12},
      abstract = {This paper use the logistic regression model to an epidemiological study, i.e. bovine tuberculosis (bTB) occurrence in cattle herds, together with well-established risk factors in the area known as West Wicklow, in the east of Ireland. The binary target variable is whether the herd is in the restricted status, which is defined by whether any bTB reactor is detected in the herd. With the stepwise variables selection procedure, a final logistical regression model is found to adequately describe the data. Herd bTB incidence was positively associated with annual total rainfall, herd size and a herd bTB history in the previous three years, and presence /absence of commonage.},
     year = {2015}
    }
    

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    T1  - Application of Logistic Regression Model in an Epidemiological Study
    AU  - Renhao Jin
    AU  - Fang Yan
    AU  - Jie Zhu
    Y1  - 2015/09/17
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    T2  - Science Journal of Applied Mathematics and Statistics
    JF  - Science Journal of Applied Mathematics and Statistics
    JO  - Science Journal of Applied Mathematics and Statistics
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    UR  - https://doi.org/10.11648/j.sjams.20150305.12
    AB  - This paper use the logistic regression model to an epidemiological study, i.e. bovine tuberculosis (bTB) occurrence in cattle herds, together with well-established risk factors in the area known as West Wicklow, in the east of Ireland. The binary target variable is whether the herd is in the restricted status, which is defined by whether any bTB reactor is detected in the herd. With the stepwise variables selection procedure, a final logistical regression model is found to adequately describe the data. Herd bTB incidence was positively associated with annual total rainfall, herd size and a herd bTB history in the previous three years, and presence /absence of commonage.
    VL  - 3
    IS  - 5
    ER  - 

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Author Information
  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

  • School of Information, Beijing Wuzi University, Beijing, China

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