Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana
Joint Authors
Iddrisu, Abdul-Karim
Tawiah, Kassim
Bukari, Francis Kwame
Kumi, Williams
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Background.
Child mortality is a global health problem.
The United Nations’ 2018 report on levels and trends on child mortality indicated that under-five mortality is one of the major public health problems in Ghana with a rate of 60 deaths per 1000 live births.
To further mitigate this problem, it is important to identify the drivers of under-five mortality in order to achieve the United Nations SDG Goal 3 target 2.
Methods.
In this study, we investigated the effects of some selected risk factors on child mortality using data from the 2014 Ghana Demographic Health Survey.
We modelled the relationship between child mortality and the risk factors using a logistic regression model under the frequentist and Bayesian frameworks.
We used the Metropolis-Hastings Algorithm to simulate parameter estimates from the posterior distributions, and statistical analyses were carried out using STATA version 14.1.
Results.
Results from the frequentist framework are in line with those from the Bayesian framework.
The results showed an increased risk of death among children who were delivered through caesarean and reduced relative odds of death among children whose sizes are average or large at birth and whose mothers have formal education.
Conclusions.
There is a need for improved health facilities for better health-care for mothers and children.
Education should, among other things, emphasise on the need for mothers to go for regular check-ups during antinatal and postnatal periods for improved mother and child health.
American Psychological Association (APA)
Iddrisu, Abdul-Karim& Tawiah, Kassim& Bukari, Francis Kwame& Kumi, Williams. 2020. Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana. BioMed Research International،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1137338
Modern Language Association (MLA)
Iddrisu, Abdul-Karim…[et al.]. Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana. BioMed Research International No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1137338
American Medical Association (AMA)
Iddrisu, Abdul-Karim& Tawiah, Kassim& Bukari, Francis Kwame& Kumi, Williams. Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1137338
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1137338