Home Page

Dr Gavin Shaddick is a Reader in Statistics within the department of Mathematical Sciences at the University of Bath and obtained his PhD in statistics and epidemiology from Imperial College, London. His research interests are primarily concerned with Bayesian methods and spatial-temporal modelling.  These have been applied in a variety of settings, including spatial epidemiology, health risk analysis, and environmental modelling. Recent publications have included development of methods for estimating personal exposures to environmental hazards, detecting increased risk around putative point sources of pollution, incorporating spatial modelling into studies of both short and long-term effects of pollution on health and the effects of ecological bias in health-exposure modelling.


Summary of publications (post 2002)

Ward, H., Toledano , M. B., Shaddick, G., Davies, B. and Elliott, P., June 2012. Oxford Handbook of Epidemiology for Clinicians. Oxford: Oxford University Press.

Shaddick, G., Lee, D. and Wakefield, J., 2012.. Ecological bias in studies of the short–term effects of air pollution on health. International Journal of Applied Earth Observations and Geoinformation

Tillett, W., Shaddick, G., Korendowych , E., De Vries, C. S. and McHugh , N., 2012. Forthcoming. Joint count reliability in psoriatic arthritis observational trials: an unreported problem. Rheumatology.

Bornn, L., Shaddick, G. and Zidek, J. V., 2012. Forthcoming. Modeling non-stationary processes through dimension expansion. Journal of the American Statistical Association

Sabel, C., Shaddick, G., Blangiardo, M., Salway, R., Zenie, A., Denby, B. and Gerharz, L., 2011. Uncertainty analysis within the EU HEIMTSA (Health and Environment Integrated Methodology and Toolbox for Scenario Assessment) project. Epidemiology, 22 (1), S176-S177.

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.

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.

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.

Shaddick, G., Lee, D., Zidek, J. V. and Salway, R., 2008. Estimating exposure response functions using ambient pollution concentrations. Annals of Applied Statistics, 2 (4), pp. 1249-1270.

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.

Zidek, J. V., Shaddick, G., Meloche, J., Chatfield, C. and White, R., 2007. A framework for predicting personal exposures to environmental hazards. Environmental and Ecological Statistics, 14 (4), pp. 411-431.

Toledano, M., Elliott, P., Briggs, D., Best, N., de Hoogh, C. and Shaddick, G., 2007. Adult cancers near overhead powerlines. Epidemiology, 18 (5), S130-S130.

Elliott, P., Shaddick, G., Wakefield, J. C., de Hoogh, C. and Briggs, D. J., 2007. Long-term associations of outdoor air pollution with mortality in Great Britain. Thorax, 62 (12), pp. 1088-1094.

Shaddick, G., Choo, L. L. and Walker, S. G., 2007. Modelling correlated count data with covariates. Journal of Statistical Computation and Simulation, 77 Nov-Dec (11-12), pp. 945-954.

Toledano, M. B., Elliott, P. and Shaddick, G., 2006. Seasonal variations in all-cause and cardiovascular mortality and the role of temperature. In: Marmot, M. and Elliott, P., eds.  Coronary Heart Disease Epidemiology, 495--527. Oxford: Oxford University Press

Toledano, M., Briggs, D., de Hoogh, C., Shaddick, G. and Elliott, P., 2006. Adult cancers near overhead power lines: Study design. Epidemiology, 17 (6), S156-S156.

Wakefield, J. and Shaddick, G., 2006. Health-exposure modeling and the ecological fallacy. Biostatistics, 7 (3), pp. 438-455.

Shaddick, G., Kounali, D., Briggs, D., Beelan, R., Hoek, G., Hoogh, C. D. E., Pebesma, E. and Vienneau, D., 2006. Using Bayesian Hierarchical modelling to produce high resolution maps of air pollution in the EU. Epidemiology, 17 (6), S243-S244.

Shaddick, G., Zidek, J., Lee, D., White, R., Meloche, J. and Chatfield, C., 2006. Using a probabilistic model (pCNEM) to estimate personal exposure to air pollution in a study of the short-term effect of PM10 on mortality. Epidemiology, 17 (6), S158-S158.

Petrakis, M., Kopania, T., Psiloglou, B., Briggs, D., Hoek, G., Aaheim, A., Shaddick, G., Sifakis, N. and Retalis, A., 2005. GIS and Remote Sensing Techniques in Emission Mapping for Health Management in Europe. IASME Transactions, 2, p. 383.

Briggs, D. J., Beelen, R., Hoek, G., de Hoogh, C., Pebesma, E., Shaddick, G. and Vienneau, D., 2005. Modelling high resolution variations in air pollution at the continental scale: A comparison of GIS-based methods. Epidemiology, 16 (5), S84-S84.

Shaddick, G., Zidek, J., White, R., Meloche, J. and Chatfield, C., 2005. Results of using a probabilistic model to estimate personal exposure to air pollution on a study of the short term effect of PM10 on mortality. Epidemiology, 16 (5), S90-S90.

Shaddick, G., Kounali, D., Briggs, D. J., Beelen, R., Hoek, G., de Hoogh, C., Pebesma, E. and Vienneau, D., 2005. Using Bayesian hierarchical modelling to produce high resolution maps of air pollution in the EU. Epidemiology, 16 (5), S89-S89.

Zidek, J. V., Shaddick, G., White, R., Meloche, J. and Chatfield, C., 2005. Using a probabilistic model (pCNEM) to estimate personal exposure to air pollution. Environmetrics, 16 (5), pp. 481-493.

Shaddick, G., Zidek, J., Meloche, J., Chatfield, C. and White, R. F., 2003. A computational model for estimating personal exposure to air pollutants for use in studies examining the relationship between air pollution and health. Epidemiology, 14 (5), S98-S98.

Briggs, D., Aahiem, A., Hoek, G., Petrakis, M., Shaddick, G. and Dore, C., 2003. Constructing a high resolution air pollution map of Europe for epidemiological applications: The apmosphere project. Epidemiology, 14 (5), S36-S36.

Shaddick, G. and Wakefield, J., 2003. Hierarchical time series models for examining the relationship between air pollution and health using modelled exposures. Epidemiology, 14 (5), S97-S98.

Shaddick, G. and Wakefield, J., 2002. Modelling daily multivariate pollutant data at multiple sites. Journal of the Royal Statistical Society: Series C - Applied Statistics, 51, pp. 351-372.

Ward, M. C., Brace, C. J., Vaughan, N. D., Shaddick, G., Ceen, R., Hale, T. and Kennedy, G., 2002. Bayesian statistics in engine mapping. In: International Conference on Statistics and Analytical Methods in Automotive Engineering. IMechE Conference Transactions, pp. 3-15.

Shaddick, G., Wakefield, J., Briggs, D. and Elliott, P., 2002. Modelling the association between mortality and long term exposure to air pollution. Epidemiology, 13 (4), S119-S119.

Shaddick, G., Wakefield, J. and Elliott, P., 2002. Modelling the effect of cold winter temperatures on mortality. Epidemiology, 13 (4), S220-S220.

Shaddick, G. and Wakefield, J., 2002. The effects of modelling pollution levels on the relative risk obtained from time series studies examining the relationship between air pollution and health. Epidemiology, 13 (4), S255-S255.

Martuzzi, M., Mitis, F. and Shaddick, G., 2002. Using hierarchical modelling for health impact assessment of environmental analysis. Epidemiology, 13 (4), S130-S130

E: g.shaddick@bath.ac.uk   T:+44 1225 386002   F:+44 1225 6492