Research Article
Volume 3 Issue 3 - 2021
Application of Bayesian Nonparametric Estimation on Cervical Cancer: A Case Study of University College Hospital, Nigeria
Onatunji Adewale P1, Folorunso Serifat A2*, Oluwasola Timothy AO3, Adesina Oluwaseun A4 and Uthman Kafayat T5
1LAUTECH Int’l College, Ogbomoso, Oyo State, Nigeria
2University of Ibadan Laboratory for Interdisciplinary Statistical Analysis (UI-LISA), Nigeria
3Department of Obstetrics and Gynecology, College of Medicine, University of Ibadan, Nigeria
4Department of Mathematics and Statistics, The Polytechnic, Ibadan, Oyo State, Nigeria
5National Centre for Genetic Resources and Biotechnology, Ibadan, Oyo State, Nigeria
*Corresponding Author: Folorunso Serifat A,Department of Statistics, University of Ibadan, Oyo State, Nigeria.
Received: October 28, 2020; Published: February 12, 2021


Cervical cancer is the third most common malignancy in women worldwide, and in developing countries, it remains a leading cause of cancer-related death for women. The disease is a significant illness in women in Sub Sahara Africa Countries like Nigeria. Cervical cancer ranks as the 2nd most prevalent cancer among women in Nigeria and the most prevalent cancer among ages 15 - 44 years. Some of the identified risk factors of this disease have been wrongly captured in some statistical models. This consequentially makes the result of the analysis wrongly interpreted and concluded when the risk factors are continuous. This study is aimed at examining the Bayesian estimation of cervical cancer on a woman’s age and survival period of the disease using the application of non-parametric techniques. The study is a means to apply Bayesian Nonparametric estimation on cervical cancer. The study findings reveal that women between ages 40 - 60 years have a significant increase in the probability of mortality from cervical cancer when the survival period is between stage I-IV. Also, there is an increase in woman’s age and survival period of living with the disease which is significantly likely to decrease the mortality from cervical cancer in the study area.


Keywords: Bayesian Estimation; Mortality; Risk Factors; Probability; Survival Time


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Citation: Folorunso Serifat A., et al. “Application of Bayesian Nonparametric Estimation on Cervical Cancer: A Case Study of University College Hospital, Nigeria”. EC Nursing and Healthcare 3.3 (2021): 161-167.

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