Dr Duncan Lee

  • Reader (Statistics)

telephone: 01413304047
email: Duncan.Lee@glasgow.ac.uk

R216 Level 2
Statistics
Mathematics Building
Glasgow G12 8QW


Personal website

Research Interests

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.

Research Groups

List all by: Type | Date

Jump to: 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007
Number of items: 31.

2015

Lee, D., Minton, J., and Pryce, G. (2015) Bayesian inference for the dissimilarity index in the presence of spatial autocorrelation. Spatial Statistics, 11, pp. 81-95. (doi:10.1016/j.spasta.2014.12.001)

Lee, D., and Sarran, C. (2015) Controlling for unmeasured confounding and spatial misalignment in long-term air pollution and health studies. Environmetrics, (Accepted for Publication)

2014

Lee, D., Minton, J., and Pryce, G. (2014) Inference for segregation indices in the presence of spatial autocorrelation. In: Royal Statistical Society Annual Conference 2014, Sheffield, 2-4 Sept 2014,

Livingston, M., and Lee, D. (2014) "The Glasgow effect?"– the result of the geographical patterning of deprived areas? Health and Place, 29, pp. 1-9. (doi:10.1016/j.healthplace.2014.05.002)

Anderson, C., Lee, D., and Dean, N. (2014) Identifying clusters in Bayesian disease mapping. Biostatistics, 15(3), pp. 457-469. (doi:10.1093/biostatistics/kxu005) (PMID:24622038)

Rushworth, A., Lee, D., and Mitchell, R. (2014) A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in Greater London. Spatial and Spatio-Temporal Epidemiology, 10, pp. 29-38. (doi:10.1016/j.sste.2014.05.001)

Eze, J.I., Scott, E.M., Pollock, K.G., Stidson, R., Miller, C.A., and Lee, D. (2014) The association of weather and bathing water quality on the incidence of gastrointestinal illness in the west of Scotland. Epidemiology and Infection, 142(6), pp. 1289-1299. (doi:10.1017/S0950268813002148) (PMID:24007797)

Lee, D., Rushworth, A., and Sahu, S. K. (2014) A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution. Biometrics, 70(2), pp. 419-429. (doi:10.1111/biom.12156) (PMID:24571082) (PMCID:PMC4282098)

Powell, H., and Lee, D. (2014) Modelling spatial variability in concentrations of single pollutants and composite air quality indicators in health effects studies. Journal of the Royal Statistical Society: Series A (Statistics in Society), 177(3), pp. 607-623. (doi:10.1111/rssa.12034)

Miller, C., Magdalina, A.-M., Willows , R., Bowman, A., Scott, E., Lee, D., Burgess, C., Pope, L., Pannullo, F., and Haggarty, R. (2014) Spatiotemporal statistical modelling of long-term change in river nutrient concentrations in England & Wales. Science of the Total Environment, 466-7, pp. 914-923. (doi:10.1016/j.scitotenv.2013.07.113)

Lee, D., and Mitchell, R. (2014) Controlling for localised spatio-temporal autocorrelation in long-term air pollution and health studies. Statistical Methods in Medical Research, 23(6), pp. 488-506. (doi:10.1177/0962280214527384)

Mitchell, R., and Lee, D. (2014) Is there really a "wrong side of the tracks" in urban areas and does it matter for spatial analysis? Annals of the Association of American Geographers, 104(3), pp. 432-443. (doi:10.1080/00045608.2014.892321)

2013

Lee, D., and Mitchell, R. (2013) Locally adaptive spatial smoothing using conditional auto-regressive models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62(4), pp. 593-608. (doi:10.1111/rssc.12009)

Shaddick, G., Lee, D., and Wakefield, J. (2013) Ecological bias in studies of the short-term effects of air pollution on health. International Journal of Applied Earth Observation and Geoinformation, 22, pp. 65-74. (doi:10.1016/j.jag.2012.03.011)

2012

Powell, H., Lee, D., and Bowman, A. (2012) Estimating constrained concentration-response functions between air pollution and health. Environmetrics, 23(3), pp. 228-237. (doi:10.1002/env.1150)

Lee, D. (2012) Using spline models to estimate the varying health risks from air pollution across Scotland. Statistics in Medicine, 31(27), pp. 3366-3378. (doi:10.1002/sim.5420)

Lee, D., and Mitchell, R. (2012) Boundary detection in disease mapping studies. Biostatistics, 13(3), pp. 415-426. (doi:10.1093/biostatistics/kxr036)

Lee, D., and Mitchell , R. (2012) Localised spatial smoothing in Bayesian disease mapping. In: Royal Statistical Society (RSS) annual international conference, Telford, UK, 03 Sep 2012,

Willocks, L., Bhaskar, A., Ramsay, C., Lee, D., Brewster, D., Fischbacher, C., Chalmers, J., Morris, G., and Scott, E.M. (2012) Cardiovascular disease and air pollution in Scotland: no association or insufficient data and study design? BMC Public Health, 12, p. 227. (doi:10.1186/1471-2458-12-227)

2011

Lee, D., Ferguson, C., and Scott, E.M. (2011) Constructing representative air quality indicators with measures of uncertainty. Journal of the Royal Statistical Society: Series A (Statistics in Society), 174(1), pp. 109-126. (doi:10.1111/j.1467-985X.2010.00658.x)

Lee, D. (2011) A comparison of conditional autoregressive models used in Bayesian disease mapping. Spatial and Spatio-Temporal Epidemiology, 2(2), pp. 79-89. (doi:10.1016/j.sste.2011.03.001)

2010

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)

Salway, R., Lee, D., Shaddick, G., and Walker, S. (2010) Bayesian latent variable modelling in studies of air pollution and health. Statistics in Medicine, 29(26), pp. 2732-2742. (doi:10.1002/sim.4039)

Lee, D., and Neocleous, T. (2010) Bayesian quantile regression for count data with application to environmental epidemiology. Journal of the Royal Statistical Society: Series C (Applied Statistics), 59(5), pp. 905-920. (doi:10.1111/j.1467-9876.2010.00725.x)

Lee, D., Orr, A., and Pryce, G. (2010) Risk pricing on residential mortgages in the UK. In: CCHPR 20th Anniversary Conference: Housing – the next 20 years, Cambridge, 15-16 September 2010, (Unpublished)

Anderson, C., Lee, D., Pryce, G., and Taal, M. (2010) Factors affecting environmental attitudes and volunteering in England and Wales. Working Paper, (Unpublished)

Magdalina, A., Ferguson, C., Bowman, A., Willows, R., Johnson, D., Burgess, C., Pope, L., Scott, E.M., and Lee, D. (2010) Spatiotemporal modelling of nitrate and phosphorus in river catchments for England and Wales. In: 25th International Workshop on Statistical Modelling (IWSM 2010), Glasgow, UK, 5-9 Jul 2010,

2009

Lee, D., Ferguson, C., and Mitchell, R. (2009) Air pollution and health in Scotland: a multicity study. Biostatistics, 10(3), pp. 409-423. (doi:10.1093/biostatistics/kxp010) (PMID:19377033)

2008

Lee, D., and Shaddick, G. (2008) Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models. Environmetrics, 19(8), pp. 785-804. (doi:10.1002/env.894)

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)

2007

Lee, D., and Shaddick, G. (2007) Time-varying coefficient models for the analysis of air pollution and health outcome data. Biometrics, 63(4), pp. 1253-1261. (doi:10.1111/j.1541-0420.2007.00776.x)

This list was generated on Wed Jul 1 01:06:40 2015 BST.
Number of items: 31.

Articles

Lee, D., Minton, J., and Pryce, G. (2015) Bayesian inference for the dissimilarity index in the presence of spatial autocorrelation. Spatial Statistics, 11, pp. 81-95. (doi:10.1016/j.spasta.2014.12.001)

Lee, D., and Sarran, C. (2015) Controlling for unmeasured confounding and spatial misalignment in long-term air pollution and health studies. Environmetrics, (Accepted for Publication)

Livingston, M., and Lee, D. (2014) "The Glasgow effect?"– the result of the geographical patterning of deprived areas? Health and Place, 29, pp. 1-9. (doi:10.1016/j.healthplace.2014.05.002)

Anderson, C., Lee, D., and Dean, N. (2014) Identifying clusters in Bayesian disease mapping. Biostatistics, 15(3), pp. 457-469. (doi:10.1093/biostatistics/kxu005) (PMID:24622038)

Rushworth, A., Lee, D., and Mitchell, R. (2014) A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in Greater London. Spatial and Spatio-Temporal Epidemiology, 10, pp. 29-38. (doi:10.1016/j.sste.2014.05.001)

Eze, J.I., Scott, E.M., Pollock, K.G., Stidson, R., Miller, C.A., and Lee, D. (2014) The association of weather and bathing water quality on the incidence of gastrointestinal illness in the west of Scotland. Epidemiology and Infection, 142(6), pp. 1289-1299. (doi:10.1017/S0950268813002148) (PMID:24007797)

Lee, D., Rushworth, A., and Sahu, S. K. (2014) A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution. Biometrics, 70(2), pp. 419-429. (doi:10.1111/biom.12156) (PMID:24571082) (PMCID:PMC4282098)

Powell, H., and Lee, D. (2014) Modelling spatial variability in concentrations of single pollutants and composite air quality indicators in health effects studies. Journal of the Royal Statistical Society: Series A (Statistics in Society), 177(3), pp. 607-623. (doi:10.1111/rssa.12034)

Miller, C., Magdalina, A.-M., Willows , R., Bowman, A., Scott, E., Lee, D., Burgess, C., Pope, L., Pannullo, F., and Haggarty, R. (2014) Spatiotemporal statistical modelling of long-term change in river nutrient concentrations in England & Wales. Science of the Total Environment, 466-7, pp. 914-923. (doi:10.1016/j.scitotenv.2013.07.113)

Lee, D., and Mitchell, R. (2014) Controlling for localised spatio-temporal autocorrelation in long-term air pollution and health studies. Statistical Methods in Medical Research, 23(6), pp. 488-506. (doi:10.1177/0962280214527384)

Mitchell, R., and Lee, D. (2014) Is there really a "wrong side of the tracks" in urban areas and does it matter for spatial analysis? Annals of the Association of American Geographers, 104(3), pp. 432-443. (doi:10.1080/00045608.2014.892321)

Lee, D., and Mitchell, R. (2013) Locally adaptive spatial smoothing using conditional auto-regressive models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62(4), pp. 593-608. (doi:10.1111/rssc.12009)

Shaddick, G., Lee, D., and Wakefield, J. (2013) Ecological bias in studies of the short-term effects of air pollution on health. International Journal of Applied Earth Observation and Geoinformation, 22, pp. 65-74. (doi:10.1016/j.jag.2012.03.011)

Powell, H., Lee, D., and Bowman, A. (2012) Estimating constrained concentration-response functions between air pollution and health. Environmetrics, 23(3), pp. 228-237. (doi:10.1002/env.1150)

Lee, D. (2012) Using spline models to estimate the varying health risks from air pollution across Scotland. Statistics in Medicine, 31(27), pp. 3366-3378. (doi:10.1002/sim.5420)

Lee, D., and Mitchell, R. (2012) Boundary detection in disease mapping studies. Biostatistics, 13(3), pp. 415-426. (doi:10.1093/biostatistics/kxr036)

Willocks, L., Bhaskar, A., Ramsay, C., Lee, D., Brewster, D., Fischbacher, C., Chalmers, J., Morris, G., and Scott, E.M. (2012) Cardiovascular disease and air pollution in Scotland: no association or insufficient data and study design? BMC Public Health, 12, p. 227. (doi:10.1186/1471-2458-12-227)

Lee, D., Ferguson, C., and Scott, E.M. (2011) Constructing representative air quality indicators with measures of uncertainty. Journal of the Royal Statistical Society: Series A (Statistics in Society), 174(1), pp. 109-126. (doi:10.1111/j.1467-985X.2010.00658.x)

Lee, D. (2011) A comparison of conditional autoregressive models used in Bayesian disease mapping. Spatial and Spatio-Temporal Epidemiology, 2(2), pp. 79-89. (doi:10.1016/j.sste.2011.03.001)

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)

Salway, R., Lee, D., Shaddick, G., and Walker, S. (2010) Bayesian latent variable modelling in studies of air pollution and health. Statistics in Medicine, 29(26), pp. 2732-2742. (doi:10.1002/sim.4039)

Lee, D., and Neocleous, T. (2010) Bayesian quantile regression for count data with application to environmental epidemiology. Journal of the Royal Statistical Society: Series C (Applied Statistics), 59(5), pp. 905-920. (doi:10.1111/j.1467-9876.2010.00725.x)

Anderson, C., Lee, D., Pryce, G., and Taal, M. (2010) Factors affecting environmental attitudes and volunteering in England and Wales. Working Paper, (Unpublished)

Lee, D., Ferguson, C., and Mitchell, R. (2009) Air pollution and health in Scotland: a multicity study. Biostatistics, 10(3), pp. 409-423. (doi:10.1093/biostatistics/kxp010) (PMID:19377033)

Lee, D., and Shaddick, G. (2008) Modelling the effects of air pollution on health using Bayesian dynamic generalised linear models. Environmetrics, 19(8), pp. 785-804. (doi:10.1002/env.894)

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)

Lee, D., and Shaddick, G. (2007) Time-varying coefficient models for the analysis of air pollution and health outcome data. Biometrics, 63(4), pp. 1253-1261. (doi:10.1111/j.1541-0420.2007.00776.x)

Conference Proceedings

Lee, D., Minton, J., and Pryce, G. (2014) Inference for segregation indices in the presence of spatial autocorrelation. In: Royal Statistical Society Annual Conference 2014, Sheffield, 2-4 Sept 2014,

Lee, D., and Mitchell , R. (2012) Localised spatial smoothing in Bayesian disease mapping. In: Royal Statistical Society (RSS) annual international conference, Telford, UK, 03 Sep 2012,

Lee, D., Orr, A., and Pryce, G. (2010) Risk pricing on residential mortgages in the UK. In: CCHPR 20th Anniversary Conference: Housing – the next 20 years, Cambridge, 15-16 September 2010, (Unpublished)

Magdalina, A., Ferguson, C., Bowman, A., Willows, R., Johnson, D., Burgess, C., Pope, L., Scott, E.M., and Lee, D. (2010) Spatiotemporal modelling of nitrate and phosphorus in river catchments for England and Wales. In: 25th International Workshop on Statistical Modelling (IWSM 2010), Glasgow, UK, 5-9 Jul 2010,

This list was generated on Wed Jul 1 01:06:40 2015 BST.

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.

 

 

Current research staff

Gary Napier

Current PhD students

Guowen Huang (Quantifying the Effect of Pollution on Human Health)
Eilidh Jack
Aisyah Binti Nawawi
Francesca Pannullo

Current MSc students

Cillian Doherty