Application of Logistic Regression Model in an Epidemiological Study

Renhao Jin; Fang Yan; Jie Zhu

doi:doi:10.11648/j.sjams.20150305.12

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Application of Logistic Regression Model in an Epidemiological Study

Renhao Jin, Fang Yan, Jie Zhu

Published in Science Journal of Applied Mathematics and Statistics (Volume 3, Issue 5)

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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TY  - JOUR
T1  - Application of Logistic Regression Model in an Epidemiological Study
AU  - Renhao Jin
AU  - Fang Yan
AU  - Jie Zhu
Y1  - 2015/09/17
PY  - 2015
N1  - https://doi.org/10.11648/j.sjams.20150305.12
DO  - 10.11648/j.sjams.20150305.12
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 225
EP  - 229
PB  - Science Publishing Group
SN  - 2376-9513
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

Renhao Jin

School of Information, Beijing Wuzi University, Beijing, China
Fang Yan

School of Information, Beijing Wuzi University, Beijing, China
Jie Zhu

School of Information, Beijing Wuzi University, Beijing, China

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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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

TY  - JOUR
T1  - Application of Logistic Regression Model in an Epidemiological Study
AU  - Renhao Jin
AU  - Fang Yan
AU  - Jie Zhu
Y1  - 2015/09/17
PY  - 2015
N1  - https://doi.org/10.11648/j.sjams.20150305.12
DO  - 10.11648/j.sjams.20150305.12
T2  - Science Journal of Applied Mathematics and Statistics
JF  - Science Journal of Applied Mathematics and Statistics
JO  - Science Journal of Applied Mathematics and Statistics
SP  - 225
EP  - 229
PB  - Science Publishing Group
SN  - 2376-9513
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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