Small area estimation in low- and middle-income countries with the sae4health R shiny application
Accurate subnational estimation of health indicators is critical for public health planning, particularly in low- and middle-income countries, where data and analytic tools are often limited. sae4health is an open-access Shiny application ( https://rsc.stat.washington.edu/sae4health/ ) that generates small area e...