Volume 3, Issue 5, October 2015, Page: 225-229
Application of Logistic Regression Model in an Epidemiological Study
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
Received: Jul. 13, 2015;       Accepted: Jul. 22, 2015;       Published: Sep. 17, 2015
DOI: 10.11648/j.sjams.20150305.12      View  3881      Downloads  199
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.
Logistic Regression, Bovine Tuberculosis, Stepwise Variables Selection
To cite this article
Renhao Jin, Fang Yan, Jie Zhu, Application of Logistic Regression Model in an Epidemiological Study, Science Journal of Applied Mathematics and Statistics. Vol. 3, No. 5, 2015, pp. 225-229. doi: 10.11648/j.sjams.20150305.12
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