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Bivariate Generalized Linear Models for Analyzing Survival of Live Births at Neonatal, Infant and under Five Stages

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dc.contributor.author Ahmed, B.M. Rajib
dc.date.accessioned 2016-11-01T08:39:49Z
dc.date.available 2016-11-01T08:39:49Z
dc.date.issued 2015-07-12
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/1940
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Applied Statistics of East West University, Dhaka, Bangladesh en_US
dc.description.abstract Dependence on binary response may pose challenges in analyzing longitudinal data. For the child survival longitudinal data, determinants of child survival for the child death by relationship between rick factor and survival status. In the previous studies mainly marginal analysis was performed for specific birth order or combined analysis all birth orders. However the dependence in the outcome of survival status of the consecutive birth order was not taken into account. This study also show that there is no sex performance of the survival status for first three children at neonatal infant and under 5 stages. It is also found that there is statistically significant dependence of the survival status of the consecutive births. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;AS00002
dc.subject Child Survival, longitudinal data, neonatal, infant, under five years child, consectutive births en_US
dc.title Bivariate Generalized Linear Models for Analyzing Survival of Live Births at Neonatal, Infant and under Five Stages en_US
dc.type Thesis en_US


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