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Modeling Determinants Of Neonatal Mortality In Ethiopia

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dc.contributor.author Bacha Ewunetu
dc.date.accessioned 2020-12-14T10:54:35Z
dc.date.available 2020-12-14T10:54:35Z
dc.date.issued 2015-10
dc.identifier.uri http://10.140.5.162//handle/123456789/3471
dc.description.abstract Although neonatal mortality estimates continue to decline in Ethiopia over the years, it is a matter of a great concern among stake holders as the decline is not enough to reduce NM. Objective: The study aimed to investigate significant factors and appropriate model of neonatal mortality in Ethiopia and also to assess the effect region as a cluster. Method:The data was obtained from the EDHS, 2011.The study sample (n = 2604) was based on infants (0–1 months old) during the survey period; extracted from the women data base. Two model families, generalized estimating equation and alternating logistic regression models from marginal model family, and generalized linear mixed model from cluster specific model family were used for the analysis. AIC and QIC were used for model selection. Result: the result showed that among eligible children the proportion of NM was 14.78%. Alternating logisticregression model was best fits the data for population-averaged effects of the given factorson neonatal mortality than generalized estimating equation model and generalizedlinear mixed model with two random intercepts was the best model to evaluate within and betweenregional heterogeneity of neonatal mortality. From all the fitted model age of respondents (mothers), multiplicity of birth, birth interval, and birth order, age at first birth, residence, and birth size were found to be significant factors of neonatal mortality; whereas wealth, mothers educational level, sex of a child and place of delivery were non-significant factors. Conclusion: in line with objectives of this study marginal models, GEE and ALR, have been compared for the analysis of marginal or average effects of covariates on the response variable and, we conclude that, ALR model with measure of association exhibited the best fit for this data than GEE models. For this study also GLMM, with two random intercept models was found to be appropriate for the analysis of within and between regional variations for neonatal mortality in Ethiopia. This concluded that there is heterogeneity of neonatal mortality between and within regions. en_US
dc.language.iso en en_US
dc.subject Neonatal mortality en_US
dc.subject Generalized Estimating Equation en_US
dc.subject Alternating logistic regression en_US
dc.title Modeling Determinants Of Neonatal Mortality In Ethiopia en_US
dc.type Thesis en_US


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