Understanding patterns in mortality across subpopulations is essential for local health policy
decision making. One of the key challenges of subnational mortality rate estimation is the …

This study proposes a new approach to modeling subnational mortality that relies on
individual features (eg, sex, geographical region, socioeconomic status) instead of dealing …

Objective Decompose the US black/white inequality in premature mortality into shared and
group-specific risks to better inform health policy. Setting All 50 US states and the District of …

Reliable subnational mortality estimates are essential in the study of health inequalities
within a country. One of the difficulties in producing such estimates is the presence of small …

We propose a new model in a Bayesian hierarchical framework to project mortality at both
national and subnational levels based on sparse or missing data. The new model, which …

Abstract Across the United States public health community in 2020, in the midst of a
pandemic and increased concern regarding racial/ethnic health disparities, there is …

Many public health databases index disease counts by age groups and calendar periods
within geographic regions (eg, states, districts, or counties). Issues around relative risk …

Mortality patterns at a subnational level or across subpopulations are often used to examine
the health of a population. In small populations, however, death counts are erratic. To deal …

Mortality forecasts are typically limited in that they pertain only to national death rates,
predict only all-cause mortality or do not capture and utilize the correlation between …

Accurate estimates of subnational populations are important for policy formulation and
monitoring population health indicators. For example, estimates of the number of women of …