ArticleBioMed research international2020
Frequentist and Bayesian Regression Approaches for Determining Risk Factors of Child Mortality in Ghana.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Factors Associated with Under-Five Child Mortality.BioMed research international · 2022Pooled it
- Improved prediction of childhood anemia using hybrid ensemble learning and dual-level explainability.Journal of public health research · 2026Article
- Spatial analysis of under-five children mortality and associated determinants in Ghana: Mapping regional disparities for targeted interventions.PLOS global public health · 2026Article
- Comparative analysis of predictors of child mortality in Ethiopia via frequentist and Bayesian approaches.Scientific reports · 2025Article
- Article
- Time to death and its determinants of under-five children in rural Ethiopia by using shared frailty.Scientific reports · 2024Article
- Survival time discrepancy among under-five-year children of rural parts of Ethiopia.Journal of research in health sciences · 2022Article
- Bayesian Analysis of Trends in Utilization of Maternal Healthcare Services in Pakistan during 2006-2018.Computational and mathematical methods in medicine · 2021Article
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4 authors.
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Abstract
backgroundChild 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.
methodsIn 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.
resultsResults 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.
conclusionsThere 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.
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