A Bayesian Logistic Regression on Sickle Cell Anaemia: Variation in Survival by Age and Sex
Loading...
Date
2017-11
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
International Journal of Innovative Research & Development
Abstract
A study on variation in survival of sickle cell anaemia by age and sex was carried out. The dichotomous nature of the response variable (survival) suggested modelling with the logistic function. There is a dearth of Studies on the specific way in which survival of sickle cell anaemia varies across sex and different age groups of patients from the South-western part of Nigeria. Adequate information on the pattern of response of patients in the presence of significant covariates will yield more effective medical intervention. This study therefore was focused on the survival of sickle cell anaemia across sex and different age groups. The goal was to find out which of these two variables contribute significantly to the survival of sickle cell anaemia and the specific pattern across the different age groups. Data on Sickle cell anaemia patients obtained from the University
College Hospital, University of Ibadan, in the South-western part of Nigeria was analysed in the Bayesian logistic Regression approach. Survival varied significantly across different ages, the estimate of the coefficient was -0.04215 with a Bayesian confidence interval (-0.04215, -0.02338). For the female, the percentage alive reduced at the child bearing ages compared with other ages. Sex on the other hand did not significantly contribute to the variation in survival, having the estimate of its coefficient as -0.1298 with a Bayesian confidence interval (-0.13 and 0.452). Age-specific medical attention might increase the life expectancy of these people.
Description
Keywords
Logistic regression, Bayesian approach, Sickle cell, Variation