LOGISTIC REGRESSION ON THE PRIMIPARAL AGE OF WOMEN IN GOMBE, GOMBE STATE

  • A.U. Kinafa Department of mathematics, Gombe State University
  • M.B. Mohammed Department of mathematics and computer science, Federal University of Kashere
  • A. Abdulkadir Department of mathematics, Gombe State University
Keywords: Age, Primipara, Logistic Regression

Abstract

Failure of women to undergo a successful first child delivery is becoming one of the most challenging problem and a major concern to most of our healthcare providers. In this paper, we apply the binary logistic regression analysis to investigate whether age of women at first birth have a relationship with the outcome of their delivery (Success or failure). The data was collected from Gombe Town Maternity and was subjected to analysis. From the result of the analysis, we observed that most of the women at tender age (12-17) are classified to fail (69%) during their first child delivery while most of the women at higher age (19 and above) have a better chance of succeeding during their first parturition. Also, the result shows that the average age at which women ought to conceive successfully is 19 years. The Wald statistics result also shows that the logistic regression model fits the data very well.

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Published
2018-07-31
How to Cite
Kinafa, A., M.B. Mohammed, & A. Abdulkadir. (2018). LOGISTIC REGRESSION ON THE PRIMIPARAL AGE OF WOMEN IN GOMBE, GOMBE STATE . International Journal of Engineering Technologies and Management Research, 5(7), 7-16. https://doi.org/10.29121/ijetmr.v5.i7.2018.254