Abstract

This paper is mainly focused on the application of logistic regression analysis on child mortality. A cross sectional study design is adopted with 836 sample observations and 31 prognostic variables are considered as determinants of child mortality. Out of those prognostic variables, 8 variables namely TTF (type of toilet facility), NHM (number of family members), TCB (total children ever born), CMT (use contraceptive), ING (ideal number of girls), DBF (duration of breastfeeding), DPT and PAR (parity) are found significant. And their amounts of impact on child mortality are explicitly expressed.

Author: Salam Shantikumar Singh

Received on: May, 2018

Accepted on: March, 2019