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https://doi.org/10.11564/20-1-384

has been cited by the following article:

• TITLE: Model for Assessment of Child Mortality under Different Parity: A Bayesian Swatch

  AUTHORS: Arunabh Tripathi, G. P. Singh, Abhinav Singh

  KEYWORDS: Child Mortality, Model Fitting, Bayesian Procedure

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.7 No.5, May 20, 2019

  ABSTRACT: In this study a model is conceptualized to measure the child mortality under different parity of women such that a better strategy can be formulated to bring down mortality rates. In the estimation of probability of child mortality some socio demographic variables are taken in consideration. The estimates are obtained under Bayesian procedure. Two different models are formulated for it and model fitting is observed by graphical approach along with the chi square test. First model is betabinomial and second is binomial regression model. Second model shows the better fit on the data. The estimate of probability of child mortality at higher parities namely, parity 3, parity 4 and parity 5 were obtained as 0.06, 0.09 and 0.13 respectively on the basis of the second model.