6 citations · 8 across the 10 of their papers we have counts for
7 papers · 1 filter
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…
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…
Locally adaptive spatial smoothing using conditional autoregressive models
Duncan Lee, Richard Mitchell
Conditional autoregressive (CAR) models are commonly used to capture spatial correlation in areal unit data, and are typically specified as a prior distribution for a set of random…
Estimating exposure response functions using ambient pollution concentrations
Gavin Shaddick, Duncan Lee, James V. Zidek +1
This paper presents an approach to estimating the health effects of an environmental hazard. The approach is general in nature, but is applied here to the case of air pollution. It…