American Journal of Mathematics and Statistics
pISSN: 2162948X eISSN: 21628475
2019; 9(1): 1722
doi:10.5923/j.ajms.20190901.03
Obubu Maxwell^{1}, Babalola A. Mayowa^{2}, Ikediuwa U. Chinedu^{1}, Amadi E. Peace^{3}
^{1}Department of Statistics, Nnamdi Azikiwe University, Awka, Nigeria
^{2}Department of Statistics, University of Ilorin, Ilorin, Nigeria
^{3}Department of Statistics, Abia State Polytechnic, Aba, Nigeria
Correspondence to: Obubu Maxwell, Department of Statistics, Nnamdi Azikiwe University, Awka, Nigeria.
Email: 
Copyright © 2019 The Author(s). Published by Scientific & Academic Publishing.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/
The world mortality rate has declined 45% since 1990, but still 800 women die every day from pregnancy or childbirth related causes. According to the United Nations Population Fund (UNFPA) this is equivalent to about one woman every two minutes and for every woman who dies, 20 or 30 encounter complications with serious or longlasting consequences. Young mothers face higher risks of complications and death during pregnancy than older mothers, especially adolescents aged 15 years or younger. Adolescents have higher risks for postpartum hemorrhage, thus, an increased risk of death during pregnancy or childbirth compared with older women. The study is therefore focused on addressing the issue of good statistical estimators, is born out of the weaknesses of the estimators in use, and the apparent lack of research into the application of other methods. Survival analysis technique was employed, once the survival function has been developed, various tests and the modeling of Maternal Mortality, as well as the determination of the appropriate distributions that best describes maternal mortality was done, using both the parametric and nonparametric methods. These include the identification of prognostic factors through regression analysis and the determination of an appropriate distribution for maternal survival. Results of its application to data from Oyo State, Nigeria showed that while about 90% of pregnant women made it alive to delivery, only 86% of them survived to the end of the postpartum period. There were significant differentials by location, and Maternal Age: The Weibull distribution described maternal survival well.
Keywords: Maternal Mortality, Hazard, Survival Analysis, Weibull Distribution, Maternal Survival, Maternal Cox Regression
Cite this paper: Obubu Maxwell, Babalola A. Mayowa, Ikediuwa U. Chinedu, Amadi E. Peace, Parametric Survival Modeling of Maternal Obstetric Risk; a Censored Study, American Journal of Mathematics and Statistics, Vol. 9 No. 1, 2019, pp. 1722. doi: 10.5923/j.ajms.20190901.03.

Figure 1. Hazard plot for Maternal Survival against time 


