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

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