3 papers
stat.ME2026
Nonprobability Samples for Small Area Estimation: A Review and Comparative Simulation Study
Sho Kawano, Daniel Vedensky, Qianyu Dong +5
Nonprobability samples (NPS) are attractive because they are less costly to collect, can provide substantially larger sample sizes, and may reach populations that traditional proba…
stat.CO2025
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…
stat.AP2025
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…