6 citations · 8 across the 10 of their papers we have counts for
10 papers
A spatio-temporal process-convolution model for quantifying health inequalities in respiratory prescription rates in Scotland
Duncan Lee
The rates of respiratory prescriptions vary by GP surgery across Scotland, suggesting there are sizeable health inequalities in respiratory ill health across the country. The aim o…
Controlling for unmeasured confounding and spatial misalignment in long-term air pollution and health studies
Duncan Lee, Christophe Sarran
The health impact of long-term exposure to air pollution is now routinely estimated using spatial ecological studies, due to the recent widespread availability of spatial reference…
An adaptive spatio-temporal smoothing model for estimating trends and step changes in disease risk
Alastair Rushworth, Duncan Lee, Christophe Sarran
Statistical models used to estimate the spatio-temporal pattern in disease risk from areal unit data represent the risk surface for each time period with known covariates and a set…
Cluster detection and risk estimation for spatio-temporal health data
Duncan Lee, Andrew Lawson
In epidemiological disease mapping one aims to estimate the spatio-temporal pattern in disease risk and identify high-risk clusters, allowing health interventions to be appropriate…
Identifying Clusters in Bayesian Disease Mapping
Craig Anderson, Duncan Lee, Nema Dean
Disease mapping is the field of spatial epidemiology interested in estimating the spatial pattern in disease risk across areal units. One aim is to identify units exhibiting el…
Using prior information to identify boundaries in disease risk maps
Duncan Lee
Disease maps display the spatial pattern in disease risk, so that high-risk clusters can be identified. The spatial structure in the risk map is typically represented by a set of r…