An Adaptive Spatiotemporal Smoothing Model for Estimating Trends and Step Changes in Disease Risk
An Adaptive Spatiotemporal Smoothing Model for Estimating Trends and Step Changes in Disease Risk
Summary Statistical models used to estimate the spatiotemporal pattern in disease risk from areal unit data represent the risk surface for each time period with known covariates and a set of spatially smooth random effects. The latter act as a proxy for unmeasured spatial confounding, whose spatial structure is often …