3 papers
stat.ME2026
Spatial Confounding in Multivariate Areal Data Analysis
Kyle Lin Wu, Sudipto Banerjee
We investigate spatial confounding in the presence of multivariate disease dependence. In the "analysis model perspective" of spatial confounding, adding a spatially dependent rand…
stat.ME2025
Assessing Spatial Disparities: A Bayesian Linear Regression Approach
Kyle Lin Wu, Sudipto Banerjee
Epidemiological investigations of regionally aggregated spatial data often involve detecting spatial health disparities among neighboring regions on a map of disease mortality or i…
stat.ME2025
Detecting Spatial Health Disparities Using Disease Maps
Luca Aiello, Sudipto Banerjee
Epidemiologists commonly use regional aggregates of health outcomes to map mortality or incidence rates and identify geographic disparities. However, to detect health disparities a…