Dr Duncan Lee
- Reader (Statistics)
R216 Level 2
Glasgow G12 8QW
My research interests are in developing statistical methods for use in epidemiology, focusing on disease mapping, and studies that investigate the effects of air pollution on human health. The aim in disease mapping is to quantify the spatial pattern in disease risk over a city or country, as well as determining whether there has been any increase or reduction in the risk over time. These spatio-temporal risk maps allow public health researchers to identify the areas at highest risk of disease, so that health resources can be targeted accordingly. The production of such risk maps requires flexible spatio-temporal statistical models to be developed, that can represent the changes in disease risk over space and through time. My second research interest is studies that estimate the health impact of air pollution exposure, both in the short and the long term. Both these themes are investigated using Bayesian methods, utilizing Markov chain monte carlo simulation.
Selected publications | View all publications
Lee, D., and Shaddick, G. (2010) Spatial modeling of air pollution in studies of its short-term health effects. Biometrics, 66(4), pp. 1238-1246. (doi:10.1111/j.1541-0420.2009.01376.x)
Shaddick, G., Lee, D., Zidek, J., and Salway, R. (2008) Estimating exposure response functions using ambient pollution concentrations. Annals of Applied Statistics, 2(4), pp. 1249-1270. (doi:10.1214/08-AOAS177)
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The main grants for which I have been or am PI for include:
- ESRC grant ‘Allowing for cliffs and slopes in the risk surface when modelling small-area data’, Oct 2010 - Sept 2012, £52,556.
- EPSRC grant ‘A rigorous statistical framework for estimating the long-term health effects of air pollution’, Jan 2013 - Dec 2015, £269,755.
- MRC grant entitled ‘A flexible class of Bayesian spatio-temporal models for cluster detection, trend estimation and forecasting of disease risk’, Feb 2015 - Jan 2018, £304, 000.