Professor Duncan Lee

  • Professor of Statistics (Statistics)

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

List by: Type | Date

Jump to: 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007
Number of items: 61.

2019

Jack, E., Lee, D. and Dean, N. (2019) Estimating the changing nature of Scotland's health inequalities using a multivariate spatio-temporal model. Journal of the Royal Statistical Society: Series A (Statistics in Society), 182(3), pp. 1061-1080. (doi:10.1111/rssa.12447)

Jani, B. D. , Hanlon, P. , Nicholl, B. I. , McQueenie, R., Gallacher, K. I. , Lee, D. and Mair, F. S. (2019) Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank Cohort. BMC Medicine, 17, 74. (doi:10.1186/s12916-019-1305-x) (PMID:30967141) (PMCID:PMC6456941)

Lee, D. , Roertson, C., Ramsay, C., Gillespie, C. and Napier, G. (2019) Estimating the health impact of air pollution in Scotland, and the resulting benefits of reducing concentrations in city centres. Spatial and Spatio-Temporal Epidemiology, (Accepted for Publication)

2018

Lee, D. (2018) A locally adaptive process-convolution model for estimating the health impact of air pollution. Annals of Applied Statistics, 12(4), pp. 2540-2558. (doi:10.1214/18-AOAS1167)

Jani, B. D. , Nicholl, B. I. , McQueenie, R., Connelly, D. T., Hanlon, P. , Gallacher, K. I. , Lee, D. and Mair, F. S. (2018) Multimorbidity and co-morbidity in atrial fibrillation and effects on survival: findings from UK Biobank cohort. Europace, 20, f329-f336. (doi:10.1093/europace/eux322) (PMID:29112751) (PMCID:PMC6277149)

Young, D. M., Parry, L. E. , Lee, D. and Ray, S. (2018) Spatial models with covariates improve estimates of peat depth in blanket peatlands. PLoS ONE, 13(9), e0202691. (doi:10.1371/journal.pone.0202691) (PMID:30192790) (PMCID:PMC6128521)

Cullen, B. , Newby, D., Lee, D. , Lyall, D. M. , Nevado-Holgado, A. J., Evans, J. J. , Pell, J. P. , Lovestone, S. and Cavanagh, J. (2018) Cross-sectional and longitudinal analyses of outdoor air pollution exposure and cognitive function in UK Biobank. Scientific Reports, 8, 12089. (doi:10.1038/s41598-018-30568-6) (PMID:30108252) (PMCID:PMC6092329)

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, 3(7), e323-e332. (doi:10.1016/S2468-2667(18)30091-4) (PMID:29908859) (PMCID:PMC6028743)

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)

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)

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)

This list was generated on Tue Jun 18 05:10:04 2019 BST.
Jump to: Articles | Book Sections | Conference Proceedings
Number of items: 61.

Articles

Jack, E., Lee, D. and Dean, N. (2019) Estimating the changing nature of Scotland's health inequalities using a multivariate spatio-temporal model. Journal of the Royal Statistical Society: Series A (Statistics in Society), 182(3), pp. 1061-1080. (doi:10.1111/rssa.12447)

Jani, B. D. , Hanlon, P. , Nicholl, B. I. , McQueenie, R., Gallacher, K. I. , Lee, D. and Mair, F. S. (2019) Relationship between multimorbidity, demographic factors and mortality: findings from the UK Biobank Cohort. BMC Medicine, 17, 74. (doi:10.1186/s12916-019-1305-x) (PMID:30967141) (PMCID:PMC6456941)

Lee, D. , Roertson, C., Ramsay, C., Gillespie, C. and Napier, G. (2019) Estimating the health impact of air pollution in Scotland, and the resulting benefits of reducing concentrations in city centres. Spatial and Spatio-Temporal Epidemiology, (Accepted for Publication)

Lee, D. (2018) A locally adaptive process-convolution model for estimating the health impact of air pollution. Annals of Applied Statistics, 12(4), pp. 2540-2558. (doi:10.1214/18-AOAS1167)

Jani, B. D. , Nicholl, B. I. , McQueenie, R., Connelly, D. T., Hanlon, P. , Gallacher, K. I. , Lee, D. and Mair, F. S. (2018) Multimorbidity and co-morbidity in atrial fibrillation and effects on survival: findings from UK Biobank cohort. Europace, 20, f329-f336. (doi:10.1093/europace/eux322) (PMID:29112751) (PMCID:PMC6277149)

Young, D. M., Parry, L. E. , Lee, D. and Ray, S. (2018) Spatial models with covariates improve estimates of peat depth in blanket peatlands. PLoS ONE, 13(9), e0202691. (doi:10.1371/journal.pone.0202691) (PMID:30192790) (PMCID:PMC6128521)

Cullen, B. , Newby, D., Lee, D. , Lyall, D. M. , Nevado-Holgado, A. J., Evans, J. J. , Pell, J. P. , Lovestone, S. and Cavanagh, J. (2018) Cross-sectional and longitudinal analyses of outdoor air pollution exposure and cognitive function in UK Biobank. Scientific Reports, 8, 12089. (doi:10.1038/s41598-018-30568-6) (PMID:30108252) (PMCID:PMC6092329)

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, 3(7), e323-e332. (doi:10.1016/S2468-2667(18)30091-4) (PMID:29908859) (PMCID:PMC6028743)

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)

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)

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.

This list was generated on Tue Jun 18 05:10:04 2019 BST.

Grants

Grants as PI.

  • 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.
  • EPSRC grant 'Linking air pollution and health in Scotland to inform on locations for a Low Emission Zone', July 2017, £14,962.
  • TB Alliance grant entitled 'Mathematical modelling of MDR, pre XDR, and XDR burden of the TB population', £24,068. 

 

Grants as CI.

  • Environment Agency  grant `'Spatiotemporal modelling of Nitrate and Phosphorus in River Catchments for England and Wales', 01/03/2009 - 31/10/2010 , £61,710.
  • Carnegie scholarship for PhD study for Craig Anderson, 01/10/2011 - 28/02/2015, £63,696.
  • NERC knowledge transfer grant 'Statistics, environmental management, policy and regulation: developing the evidence base', 01/08/2009 - 31/07/2012,  £295,868.85.
  • ESRC grant 'Applied Quantitative Methods Network: Phase II', 01/01/2013 - 30/12/2016 , £2,601,794
  • NERC Postgraduate and Professional Skills Development Award, 26/09/2013, £73,000.
  • ESRC grant entitled 'Urban Big Data Research Centre', 2014 - 2018, £6,003,547.
  • NERC grant entitled 'Advanced statistics training', 2014 - 2015, £73,000.
  • Carnegie scholarship for PhD study for Eilidh Jack, 01/10/2015 - 28/02/2019, £70,000.
  • NERC grant entitled 'Advanced statistics training', 2015 - 2016, £70,000.
  • Innovate UK grant entitled 'A new integrated decision-making tool for urban health and policy evaluation: ‘QCumber-envHealth’', October 2015 - September 2017, £456,398.
  • EPSRC grant (as part of the SECURE network) entitled 'Feasibility testing of low-cost sensors to represent spatio-temporal variability of ambient ground-level NO2 and O3 concentrations', October to December 2015, £25,000.
  • CI for a NERC funded CASE PhD studentship, 2016 - 2019, £60,000.
  • EPSRC grant (as part of the SECURE network) entitled 'Improved approaches for mapping and modelling blanket peatland extent and depth', May to August 2016, £24,962.
  •  Scottish Executive Health Department grant  entitled 'Multimorbidity in UK Biobank', December 2016, £22,029.

 

 


Supervision

Current research staff

Gary Napier

Current PhD students

Kamol Sanittham
Yoana Napier
Xueqing Yin (Mapping disease risk in space and time )


Teaching

  • S1Y Probability - first year course.
  • 3H and 5M Biostatistics - third year and masters course.
  • 4H and 5M Spatial statistics - fourth year and masters course.
  • Final year undergraduate and masters projects.

Research datasets

Jump to: 2018
Number of items: 1.

2018

Lee, D. (2018) A locally adaptive process-convolution model for estimating the health impact of air pollution. [Data Collection]

This list was generated on Tue Jun 18 05:10:06 2019 BST.

Additional information

Twitter

@DuncanPLee

Computer software

CARBayes - A package for the statistical software R to implement spatial generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The software is available on the Comprehensive R Archive Network (CRAN) here.Over 83,000 downloads between 2012 and 2018.

CARBayesST - A package for the statistical software R to implement spatio-temporal generalised linear mixed models for areal unit data, with inference in a Bayesian setting using Markov chain Monte Carlo (MCMC) simulation. The software is available on the Comprehensive R Archive Network (CRAN) here. Over 23,000 downloads between 2014 and 2018.

Visiting Researchers

  • Aritz Adin - Visiting PhD student from the Public University of Navarra, Spain,  working on Space-time disease modelling for 3 months in the summer of 2016.
  • Chawarat Rotejanaprasert -Visiting researcher from the Mahidol University, Thailand,  working on Space-time disease modelling for 3 months in the summer of 2018.

Professional activities

  • I am the conference chair for the biennial GEOMED conference, which will be held in Glasgow in August 2019. See www.geomed2019.org.uk.
  • Associate editorships at Journal of the Royal Statistical Society Series C, Biometrical Journal, and Spatial and Spatio-temporal Epidemiology.
  • Guest edited three special issues of Statistical Methods in Medical research and one special issue of Spatial and Spatio-temporal Epidemiology.
  • Invited semimars at the universities of: Bath, Bristol,  Edinburgh,  Lancaster, Leeds, Medical University of South Carolina, Newcastle, Sheffield, Southampton, St Andrews and Strathclyde.
  • Invited conference talks at:  7th meeting of the Classification and Data Analysis group of the Italian Statistical society -  September 2009, Catania; 58th World Statistics Congress of the International Statistical Institute -  September 2011, Dublin;  Joint Statistical Meetings -  August 2013, Montreal and August 2016, Chicago; GEOMED -  September 2013, Sheffield and September 2015 Florence; ERCIM -  December 2013, London; International Biometrics Conference -  July 2014, Florence; Royal Statistical Society -  September 2014, Sheffield;  Migrants in the City -  October 2015, Sheffield; Scottish Government Statistics day -  December 2015, Edinburgh; TIES -  July 2016, Edinburgh and July 2017, Bergamo; StEPhI project workshop -  September 2016, Pescara.
  • Organised conference sessions and meetings at Royal Statistical Society conferences in 2012, 2014, 2016,  2107, 2018; ISBA conference in 2014; TIES conference in 2016 and 2017; GEOMED conference in 2015 and 2017; workshops organised in conjunction with the Environmental Statistics Section of the RSS in 2013, 2014, 2015, 2016.
  • External PhD examiner at the Universities of Bath; Lancaster; Leeds; Oxford; Queensland Technology; Southampton; Technology Sydney.
  • ESRC Peer Review College - November 2012 to October 2019.
  • Secretary of the environmental statistics section (ESS) of the Royal Statistical Society between 2013 and 2016.


Room 342, Mathematics and Statistics Building, Glasgow G12 8SQ,