We estimate mortality risk for each child in the data using a Bayesian hierarchical logistic regression model. 
Bayesian hierarchical logistic regression model
We use Demographic and Health Surveys (DHS) data on 1,691,039 births from 182 different surveys from 67 low and middle income countries, 51 of which had at least two surveys. 
Demographic and Health Surveys (DHS)
Goal 3.2 from the Sustainable Development Goals (SDG) calls for reductions in national averages of Under-5 Mortality.  We include commonly used risk factors for monitoring inequality in early life mortality for the SDG as well as their interactions.  We suggest that researchers and policy makers monitor inequality in under-5 mortality using multiple risk factors simultaneously, quantifying inequality as a function of several risk factors to identify left behind populations in need of policy interventions and to help monitor progress toward the SDG.
SDG