6 papers
Automatic Variance Adjustment for Small Area Estimation
Jon Wakefield, Jitong Jiang, Yunhan Wu
Small area estimation (SAE) is a common endeavor and is used in a variety of disciplines. In low- and middle-income countries (LMICs), in which household surveys provide the most r…
Small Area Estimation Methods for Multivariate Health and Demographic Outcomes using Complex Survey Data
Austin E Schumacher, Jon Wakefield
Improving health in the most disadvantaged populations requires reliable estimates of health and demographic indicators to inform policy and interventions. Low- and middle-income c…
sae4health: An R Shiny Application for Small Area Estimation in Low- and Middle-Income Countries
Yunhan Wu, Qianyu Dong, Jieyi Xu +2
Accurate subnational estimation of health indicators is critical for public health planning, particularly in low- and middle-income countries (LMICs), where data and analytic tools…
Small Area Estimation of Fertility in Low- and Middle-Income Countries
Yunhan Wu, Jon Wakefield
Accurate fertility estimates at fine spatial resolution are essential for localized public health planning, particularly in low- and middle-income countries (LMICs). While national…
Toward a Principled Workflow for Prevalence Mapping Using Household Survey Data
Qianyu Dong, Yunhan Wu, Zehang Richard Li +1
Understanding the prevalence of key demographic and health indicators in small geographic areas and domains is of global interest, especially in low- and middle-income countries (L…
Small Area Estimation of Education Levels in Low- and Middle-Income Countries
Yunhan Wu, Ameer Dharamshi, Jon Wakefield
Education is a key driver of social and economic mobility, yet disparities in attainment persist, particularly in low- and middle-income countries (LMICs). Existing indicators, suc…