Professor Duncan Lee
- Professor of Statistics (Statistics)
telephone: 01413304047
email: Duncan.Lee@glasgow.ac.uk
R216 Level 2
Statistics
Mathematics Building
Glasgow G12 8QW
Research interests
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
Publications
2018
Napier, G., Lee, D., Robertson, C. and Lawson, A. (2018) A Bayesian space–time model for clustering areal units based on their disease trends. Biostatistics, (doi:10.1093/biostatistics/kxy024) (PMID:29917057) (Early Online Publication)
Hanlon, P. , Nicholl, B. I. , Jani, B. D. , Lee, D., McQueenie, R. and Mair, F. S. (2018) Frailty and pre-frailty in middle-aged and older adults and its association with multimorbidity and mortality: a prospective analysis of 493,737 UK Biobank participants. Lancet Public Health, (doi:10.1016/S2468-2667(18)30091-4) (Early Online Publication)
Lee, D. (2018) A locally adaptive process-convolution model for estimating the health impact of air pollution. Annals of Applied Statistics, (Accepted for Publication)
Lee, D., Rushworth, A. and Napier, G. (2018) Spatio-temporal areal unit modelling in R with conditional autoregressive priors using the CARBayesST package. Journal of Statistical Software, 84(9), (doi:10.18637/jss.v084.i09)
Huang, G., Lee, D. and Scott, E. M. (2018) Multivariate space-time modelling of multiple air pollutants and their health effects accounting for exposure uncertainty. Statistics in Medicine, 37(7), pp. 1134-1148. (doi:10.1002/sim.7570)
Gallacher, K. I. , McQueenie, R., Nicholl, B. , Jani, B. D. , Lee, D. and Mair, F. S. (2018) Risk factors and mortality associated with multimorbidity in people with stroke or transient ischaemic attack: a study of 8,751 UK Biobank participants. Journal of Comorbidity, 8(1), pp. 1-8. (doi:10.15256/joc.2018.8.129)
Hanlon, P. , Nicholl, B. I. , Jani, B. D. , McQueenie, R., Lee, D., Gallacher, K. I. and Mair, F. S. (2018) Examining patterns of multimorbidity, polypharmacy and risk of adverse drug reactions in chronic obstructive pulmonary disease: a cross-sectional UK Biobank study. BMJ Open, 8(1), e018404. (doi:10.1136/bmjopen-2017-018404) (PMID:29332840) (PMCID:PMC5781016)
2017
Neslihanoglu, S., Sogiakas, V., McColl, J. and Lee, D. (2017) Nonlinearities in the CAPM: evidence from developed and emerging markets. Journal of Forecasting, 36(8), pp. 867-897. (doi:10.1002/for.2389)
Jani, B. D. , Nicholl, B. I. , McQueenie, R., Connelly, D. T., Hanlon, P. , Gallacher, K. I. , Lee, D. and Mair, F. S. (2017) Multimorbidity and co-morbidity in atrial fibrillation and effects on survival: findings from UK Biobank cohort. Europace, (doi:10.1093/europace/eux322) (PMID:29112751) (Early Online Publication)
Lee, D., Mukhopadhyay, S., Rushworth, A. and Sahu, S. K. (2017) A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health. Biostatistics, 18(2), pp. 370-385. (doi:10.1093/biostatistics/kxw048) (PMID:28025181)
Pannullo, F. , Lee, D., Neal, L., Dalvi, M., Agnew, P., O'Connor, F. M., Mukhopadhyay, S., Sahu, S. and Sarran, C. (2017) Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England. Environmental Health, 16, 29. (doi:10.1186/s12940-017-0237-1) (PMID:28347336) (PMCID:PMC5368918)
Anderson, C. , Lee, D. and Dean, N. (2017) Spatial clustering of average risks and risk trends in Bayesian disease mapping. Biometrical Journal, 59(1), pp. 41-56. (doi:10.1002/bimj.201600018) (PMID:27492753)
Rushworth, A., Lee, D. and Sarran, C. (2017) An adaptive spatio-temporal smoothing model for estimating trends and step changes in disease risk. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66(1), pp. 141-157. (doi:10.1111/rssc.12155)
Lawson, A. and Lee, D. (2017) Bayesian disease mapping for public health. In: Srinivasa Rao, A. S.R., Pyne, S. and Rao, C.R. (eds.) Handbook of Statistics. Elsevier, pp. 443-481. ISBN 9780444369684 (doi:10.1016/bs.host.2017.05.001)
2016
Lee, D. and Lawson, A. (2016) Quantifying the spatial inequality and temporal trends in maternal smoking rates in Glasgow. Annals of Applied Statistics, 10(3), pp. 1427-1446. (doi:10.1214/16-AOAS941)
Lawson, A. B., Lee, D. and MacNab, Y. (2016) Editorial. Statistical Methods in Medical Research, 25(4), p. 1079. (doi:10.1177/0962280216660410) (PMID:27566766)
Pannullo, F. , Lee, D., Waclawski, E. and Leyland, A. H. (2016) How robust are the estimated effects of air pollution on health? Accounting for model uncertainty using Bayesian model averaging. Spatial and Spatio-Temporal Epidemiology, 18, pp. 53-62. (doi:10.1016/j.sste.2016.04.001) (PMID:27494960) (PMCID:PMC4985538)
Anderson, C. , Lee, D. and Dean, N. (2016) Bayesian cluster detection via adjacency modelling. Spatial and Spatio-Temporal Epidemiology, 16, pp. 11-20. (doi:10.1016/j.sste.2015.11.005) (PMID:26919751)
Napier, G., Lee, D., Robertson, C., Lawson, A. and Pollock, K. G. (2016) A model to estimate the impact of changes in MMR vaccine uptake on inequalities in measles susceptibility in Scotland. Statistical Methods in Medical Research, 25(4), pp. 1185-1200. (doi:10.1177/0962280216660420) (PMID:27566772)
Kavanagh, L., Lee, D. and Pryce, G. (2016) Is poverty decentralizing? Quantifying uncertainty in the decentralization of urban poverty. Annals of the American Association of Geographers, 106(6), pp. 1286-1298. (doi:10.1080/24694452.2016.1213156)
Lee, D. and Sahu, S. (2016) Estimating the health impact of air pollution fields. In: Lawson, A. B., Banerjee, S., Haining, R. P. and Ugarte, M. D. (eds.) Handbook of Spatial Epidemiology. Series: Chapman & Hall/CRC handbooks of modern statistical methods. CRC: Boca Raton, FL, pp. 271-288. ISBN 9781482253016
2015
Lee, D. and Sarran, C. (2015) Controlling for unmeasured confounding and spatial misalignment in long-term air pollution and health studies. Environmetrics, 26(7), pp. 477-487. (doi:10.1002/env.2348)
Huang, G., Lee, D. and Scott, M. (2015) An integrated Bayesian model for estimating the long-term health effects of air pollution by fusing modelled and measured pollution data: a case study of nitrogen dioxide concentrations in Scotland. Spatial and Spatio-Temporal Epidemiology, 14-15, pp. 63-74. (doi:10.1016/j.sste.2015.09.002) (PMID:26530824)
Pannullo, F. , Lee, D., Waclawski, E. and Leyland, A. H. (2015) Improving spatial nitrogen dioxide prediction using diffusion tubes: a case study in West Central Scotland. Atmospheric Environment, 118, pp. 227-235. (doi:10.1016/j.atmosenv.2015.08.009) (PMID:26435684) (PMCID:PMC4567077)
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)
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) (PMID:23988742)
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. (2013) CARBayes: an R package for Bayesian spatial modeling with conditional autoregressive priors. Journal of Statistical Software, 55(13), pp. 1-24.
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,
Scott, E. M. , Bowman, A. , Ferguson, C., Lee, D., O’Donnell, D., Villoria, M. F. and Gemmell, J. C. (2010) A Statistical Framework for an Evidence Base to Support Environmental Regulation and Policy. In: 25th International Workshop on Statistical Modelling (IWSM 2010), Glasgow, UK, 5-9 Jul 2010, pp. 25-32.
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)
Articles
Napier, G., Lee, D., Robertson, C. and Lawson, A. (2018) A Bayesian space–time model for clustering areal units based on their disease trends. Biostatistics, (doi:10.1093/biostatistics/kxy024) (PMID:29917057) (Early Online Publication)
Hanlon, P. , Nicholl, B. I. , Jani, B. D. , Lee, D., McQueenie, R. and Mair, F. S. (2018) Frailty and pre-frailty in middle-aged and older adults and its association with multimorbidity and mortality: a prospective analysis of 493,737 UK Biobank participants. Lancet Public Health, (doi:10.1016/S2468-2667(18)30091-4) (Early Online Publication)
Lee, D. (2018) A locally adaptive process-convolution model for estimating the health impact of air pollution. Annals of Applied Statistics, (Accepted for Publication)
Lee, D., Rushworth, A. and Napier, G. (2018) Spatio-temporal areal unit modelling in R with conditional autoregressive priors using the CARBayesST package. Journal of Statistical Software, 84(9), (doi:10.18637/jss.v084.i09)
Huang, G., Lee, D. and Scott, E. M. (2018) Multivariate space-time modelling of multiple air pollutants and their health effects accounting for exposure uncertainty. Statistics in Medicine, 37(7), pp. 1134-1148. (doi:10.1002/sim.7570)
Gallacher, K. I. , McQueenie, R., Nicholl, B. , Jani, B. D. , Lee, D. and Mair, F. S. (2018) Risk factors and mortality associated with multimorbidity in people with stroke or transient ischaemic attack: a study of 8,751 UK Biobank participants. Journal of Comorbidity, 8(1), pp. 1-8. (doi:10.15256/joc.2018.8.129)
Hanlon, P. , Nicholl, B. I. , Jani, B. D. , McQueenie, R., Lee, D., Gallacher, K. I. and Mair, F. S. (2018) Examining patterns of multimorbidity, polypharmacy and risk of adverse drug reactions in chronic obstructive pulmonary disease: a cross-sectional UK Biobank study. BMJ Open, 8(1), e018404. (doi:10.1136/bmjopen-2017-018404) (PMID:29332840) (PMCID:PMC5781016)
Neslihanoglu, S., Sogiakas, V., McColl, J. and Lee, D. (2017) Nonlinearities in the CAPM: evidence from developed and emerging markets. Journal of Forecasting, 36(8), pp. 867-897. (doi:10.1002/for.2389)
Jani, B. D. , Nicholl, B. I. , McQueenie, R., Connelly, D. T., Hanlon, P. , Gallacher, K. I. , Lee, D. and Mair, F. S. (2017) Multimorbidity and co-morbidity in atrial fibrillation and effects on survival: findings from UK Biobank cohort. Europace, (doi:10.1093/europace/eux322) (PMID:29112751) (Early Online Publication)
Lee, D., Mukhopadhyay, S., Rushworth, A. and Sahu, S. K. (2017) A rigorous statistical framework for spatio-temporal pollution prediction and estimation of its long-term impact on health. Biostatistics, 18(2), pp. 370-385. (doi:10.1093/biostatistics/kxw048) (PMID:28025181)
Pannullo, F. , Lee, D., Neal, L., Dalvi, M., Agnew, P., O'Connor, F. M., Mukhopadhyay, S., Sahu, S. and Sarran, C. (2017) Quantifying the impact of current and future concentrations of air pollutants on respiratory disease risk in England. Environmental Health, 16, 29. (doi:10.1186/s12940-017-0237-1) (PMID:28347336) (PMCID:PMC5368918)
Anderson, C. , Lee, D. and Dean, N. (2017) Spatial clustering of average risks and risk trends in Bayesian disease mapping. Biometrical Journal, 59(1), pp. 41-56. (doi:10.1002/bimj.201600018) (PMID:27492753)
Rushworth, A., Lee, D. and Sarran, C. (2017) An adaptive spatio-temporal smoothing model for estimating trends and step changes in disease risk. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66(1), pp. 141-157. (doi:10.1111/rssc.12155)
Lee, D. and Lawson, A. (2016) Quantifying the spatial inequality and temporal trends in maternal smoking rates in Glasgow. Annals of Applied Statistics, 10(3), pp. 1427-1446. (doi:10.1214/16-AOAS941)
Lawson, A. B., Lee, D. and MacNab, Y. (2016) Editorial. Statistical Methods in Medical Research, 25(4), p. 1079. (doi:10.1177/0962280216660410) (PMID:27566766)
Pannullo, F. , Lee, D., Waclawski, E. and Leyland, A. H. (2016) How robust are the estimated effects of air pollution on health? Accounting for model uncertainty using Bayesian model averaging. Spatial and Spatio-Temporal Epidemiology, 18, pp. 53-62. (doi:10.1016/j.sste.2016.04.001) (PMID:27494960) (PMCID:PMC4985538)
Anderson, C. , Lee, D. and Dean, N. (2016) Bayesian cluster detection via adjacency modelling. Spatial and Spatio-Temporal Epidemiology, 16, pp. 11-20. (doi:10.1016/j.sste.2015.11.005) (PMID:26919751)
Napier, G., Lee, D., Robertson, C., Lawson, A. and Pollock, K. G. (2016) A model to estimate the impact of changes in MMR vaccine uptake on inequalities in measles susceptibility in Scotland. Statistical Methods in Medical Research, 25(4), pp. 1185-1200. (doi:10.1177/0962280216660420) (PMID:27566772)
Kavanagh, L., Lee, D. and Pryce, G. (2016) Is poverty decentralizing? Quantifying uncertainty in the decentralization of urban poverty. Annals of the American Association of Geographers, 106(6), pp. 1286-1298. (doi:10.1080/24694452.2016.1213156)
Lee, D. and Sarran, C. (2015) Controlling for unmeasured confounding and spatial misalignment in long-term air pollution and health studies. Environmetrics, 26(7), pp. 477-487. (doi:10.1002/env.2348)
Huang, G., Lee, D. and Scott, M. (2015) An integrated Bayesian model for estimating the long-term health effects of air pollution by fusing modelled and measured pollution data: a case study of nitrogen dioxide concentrations in Scotland. Spatial and Spatio-Temporal Epidemiology, 14-15, pp. 63-74. (doi:10.1016/j.sste.2015.09.002) (PMID:26530824)
Pannullo, F. , Lee, D., Waclawski, E. and Leyland, A. H. (2015) Improving spatial nitrogen dioxide prediction using diffusion tubes: a case study in West Central Scotland. Atmospheric Environment, 118, pp. 227-235. (doi:10.1016/j.atmosenv.2015.08.009) (PMID:26435684) (PMCID:PMC4567077)
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)
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) (PMID:23988742)
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. (2013) CARBayes: an R package for Bayesian spatial modeling with conditional autoregressive priors. Journal of Statistical Software, 55(13), pp. 1-24.
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)
Book Sections
Lawson, A. and Lee, D. (2017) Bayesian disease mapping for public health. In: Srinivasa Rao, A. S.R., Pyne, S. and Rao, C.R. (eds.) Handbook of Statistics. Elsevier, pp. 443-481. ISBN 9780444369684 (doi:10.1016/bs.host.2017.05.001)
Lee, D. and Sahu, S. (2016) Estimating the health impact of air pollution fields. In: Lawson, A. B., Banerjee, S., Haining, R. P. and Ugarte, M. D. (eds.) Handbook of Spatial Epidemiology. Series: Chapman & Hall/CRC handbooks of modern statistical methods. CRC: Boca Raton, FL, pp. 271-288. ISBN 9781482253016
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,
Scott, E. M. , Bowman, A. , Ferguson, C., Lee, D., O’Donnell, D., Villoria, M. F. and Gemmell, J. C. (2010) A Statistical Framework for an Evidence Base to Support Environmental Regulation and Policy. In: 25th International Workshop on Statistical Modelling (IWSM 2010), Glasgow, UK, 5-9 Jul 2010, pp. 25-32.
Grants
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.
Supervision
Current research staff
Current PhD students
Eilidh Jack
Kamol Sanittham
Yoana Borisova
Current MSc students
Postgraduate opportunities
Mapping disease risk in space and time
