BAYESIAN ANALYSIS OF INFANT MORTALITY BY STOCHASTIC MULTINOMIAL MODEL

  • G.P. Singh Department of Community medicine and DST-CIMS, BHU, Varanasi, India
  • A. Tripathi Department of Community medicine and DST-CIMS, BHU, Varanasi, India
  • S.K. Singh Department of Statistics and DST-CIMS, BHU, Varanasi, India
  • Umesh Singh Department of Statistics and DST-CIMS, BHU, Varanasi, India
Keywords: Stochastic Model, Case-Control Study Design, Bayesian Approach

Abstract

In this study an effort was made to fit a multinomial model on the data, which came out from case control study design on the infant death in India. The Bayesian approach was used for data analysis. Some independent (Exposure) variables were taken to check whether they affect infant mortality. The considered independent variables were mother’s schooling, mother’s age, number of ANC, delivery conducted (Place), delivery conducted (Person), check up after delivery and breastfeeding initiation. It was found that mother’s age, delivery place and breastfeeding initiations significantly affect the infant mortality.

 

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Published
2015-09-30
Section
Articles