Bivariate Generalized Linear Models for Analyzing Survival of Live Births at Neonatal, Infant and under Five Stages
Date
2015-07-12
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
East West University
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.
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
Keywords
Child Survival, longitudinal data, neonatal, infant, under five years child, consectutive births
