chidinma-godwin/infant_mortality

A Bayesian hierarchical modelling of infant mortality in Nigeria # infant_mortality Bayesian Hierarchical modelling of infant mortality in Nigeria ## Overview Infant mortality is an important index of the overall physical health of a country, it has received global attention with a resultant effect of drastic decline in infant mortality rate in some regions of the world. These achievements are challenged by differences that persist among countries. The under developed and disadvantaged populations still grapple with the burden of infant mortality. This research is aimed at examining the variables that are associated with infant mortality in Nigeria, the direction and magnitude of the effect, and determination of the geographical variations (if it exists). ## Data Source The Data used is from the fifth round Multiple Indicator Survey (MICS5, 2016-2017). ## Content - **first_model** contains code for single level logistic regression model - **second_model** contains code for three level logistic regression model - **inf_data** contains the cleaned data used in this research - **requirements** contains software used and their versions - **model_1.rds** and **model_2.rds** contains the saved model 1 and model 2 objects