Multilevel Survival Analysis of Detrminants of Infant Mortality in Ethiopia
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Date
2015-07
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Addis Abeba university
Abstract
Infant mortality is one of the demographic variables that affect population trends and one of the
indicators of socio-economic development, especially in developing countries. This study seeks to
identify the determinants of infant mortality in Ethiopia using the 2011 Ethiopian Demographic &
Health Survey. It also searches for the existence of regional disparity in infant mortality applying
multilevel survival analysis. Standard models are not suitable for nested data because the
independence assumption is not generally true. To overcome this problem, the present work was
identify determinants of infant mortality in Ethiopia using Multilevel Survival analysis that is defined
for analysis of correlated nested time survival data. The statistical packages SPSS, and STATA
were employed to analyze the data. The result indicates that some socioeconomic and demographic
related variables have significant impact on an infant survival in Ethiopia whereas, health and
environmental related variables are found to have insignificant impact. It has also been found that
there is regional variation in survival time. The analysis identified mother’s age, place of residence,
wealth index, birth order, birth type, child sex and place of delivery as significant predictors of
infant mortality. For instance, multiple births had 3.468 times higher risk of death than singleton
births and an infant born from rich family has 65.4% lower risk of death than an infant born from
poor family
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Keywords
Servival Analysis of Determinants