Yr Athro Gavin Shaddick

2025

• Shaddick, G. et al. 2025. Data science and AI for sustainable futures: Opportunities and challenges. Sustainability 17(5), article number: 2019. (10.3390/su17052019)

2024

• Jay, C. et al. 2024. Prioritize environmental sustainability in use of AI and data science methods. Nature Geoscience 17(2), pp. 106-108. (10.1038/s41561-023-01369-y)

2023

• Shaddick, G., Zidek, J. V. and Schmidt, A. M. 2023. Spatio-temporal methods in environmental epidemiology with R. Chapman and Hall/CRC. (10.1201/9781003352655)
• Lee, D., Walton, H., Evangelopoulos, D., Katsouyanni, K., Gowers, A. M., Shaddick, G. and Mitsakou, C. 2023. Health impact assessment for air pollution in the presence of regional variation in effect sizes: the implications of using different meta-analytic approaches. Environmental Pollution 336, article number: 122465. (10.1016/j.envpol.2023.122465)
• Chen, X., Bannister, R., Shaddick, G. and Zidek, J. 2023. On the stochasticity of reanalysis outputs of 4D-Var. [Online]. arXiv: Cornell University. (10.48550/arXiv.2304.03648) Available at: https://doi.org/10.48550/arXiv.2304.03648
• Thomas, M. L. et al. 2023. A data integration approach to estimating personal exposures to air pollution. Presented at: IEEE International Conference on Big Data (Big Data), Osaka, Japan, 17-20 December 2022Proceedings 2022 IEEE International Conference on Big Data (Big Data). IEEE pp. 4551-4559., (10.1109/BigData55660.2022.10020701)

2022

• Liu, X., Tai, A. P. K., Chen, Y., Zhang, L., Shaddick, G., Yan, X. and Lam, H. 2022. Publisher correction: dietary shifts can reduce premature deaths related to particulate matter pollution in China. Nature Food 3(1), article number: 86. (10.1038/s43016-022-00458-2)

2021

• Liu, X., Tai, A. P. K., Chen, Y., Zhang, L., Shaddick, G., Yan, X. and Lam, H. 2021. Dietary shifts can reduce premature deaths related to particulate matter pollution in China. Nature Food 2(12), pp. 997-1004. (10.1038/s43016-021-00430-6)
• Spooner, F. et al. 2021. A dynamic microsimulation model for epidemics. Social Science & Medicine 291, article number: 114461. (10.1016/j.socscimed.2021.114461)
• Morrissey, K., Spooner, F., Salter, J. and Shaddick, G. 2021. Area level deprivation and monthly COVID-19 cases: the impact of government policy in England. Social Science and Medicine 289, article number: 114413. (10.1016/j.socscimed.2021.114413)
• Charlton, R. A. et al. 2021. Risk of osteoarthritis in an incident cohort of people with psoriatic arthritis: a population-based cohort study. The Journal of Rheumatology 48(6), pp. 841-846. (10.3899/jrheum.200564)
• Dawkins, L. C., Williamson, D. B., Mengersen, K. L., Morawska, L., Jayaratne, R. and Shaddick, G. 2021. Where Is the clean air? A bayesian decision framework for personalised cyclist route selection using R-INLA. Bayesian Analysis 16(1), pp. 61-91. (10.1214/19-ba1193)
• Henderson, S. B., Morrison, K. T., McLean, K. E., Ding, Y., Yao, J., Shaddick, G. and Buckeridge, D. L. 2021. Staying ahead of the epidemiologic curve: evaluation of the british columbia asthma prediction system (BCAPS) during the unprecedented 2018 wildfire season. Frontiers in Public Health 9, article number: 499309. (10.3389/fpubh.2021.499309)
• Delgado-Saborit, J. M., Guercio, V., Gowers, A. M., Shaddick, G., Fox, N. C. and Love, S. 2021. A critical review of the epidemiological evidence of effects of air pollution on dementia, cognitive function and cognitive decline in adult population. Science of the Total Environment 757, article number: 143734. (10.1016/j.scitotenv.2020.143734)
• Thomas, M. L. et al. 2021. Tumor necrosis factor inhibitor monotherapy versus combination therapy for the treatment of psoriatic arthritis: combined analysis of european biologics databases. The Journal of Rheumatology 48(1), pp. 48-57. (10.3899/jrheum.190815)

2020

• Shaddick, G. et al. 2020. Global air quality: an inter-disciplinary approach to exposure assessment for burden of disease analyses. Atmosphere 12(1), article number: 48. (10.3390/atmos12010048)
• Stoner, O., Shaddick, G. and Economou, T. 2020. Global household energy model: a multivariate hierarchical approach to estimating trends in the use of polluting and clean fuels for cooking. Journal of the Royal Statistical Society: Series C 69(4), pp. 815-839. (10.1111/rssc.12428)
• Hamann, P. D., Pauling, J. D., McHugh, N., Hyrich, K., Shaddick, G. and BSRBR-RA, C. G. 2020. Early response to anti-TNF predicts long-term outcomes including sustained remission: an analysis of the BSRBR-RA. Rheumatology 59(7), pp. 1709-1714. (10.1093/rheumatology/kez518)
• Shaddick, G., Thomas, M. L., Mudu, P., Ruggeri, G. and Gumy, S. 2020. Half the world’s population are exposed to increasing air pollution. npj Climate and Atmospheric Science 3(1), article number: 23. (10.1038/s41612-020-0124-2)
• Blangiardo, M., Boulieri, A., Diggle, P., Piel, F. B., Shaddick, G. and Elliott, P. 2020. Advances in spatiotemporal models for non-communicable disease surveillance. International Journal of Epidemiology 49(Supple), pp. I26-I37. (10.1093/ije/dyz181)
• Toledano, M. B. et al. 2020. Electric field and air ion exposures near high voltage overhead power lines and adult cancers: a case control study across England and Wales. International Journal of Epidemiology 49(Supple), pp. I57-I66. (10.1093/ije/dyz275)
• Green, A. et al. 2020. Modifiable risk factors and the development of psoriatic arthritis in people with psoriasis. British Journal of Dermatology 182(3), pp. 714-720. (10.1111/bjd.18227)

2019

• Hamann, P. D., Pauling, J. D., McHugh, N., Shaddick, G., Hyrich, K. and BSRBR-RA, C. G. 2019. Predictors, demographics and frequency of sustained remission and low disease activity in anti-tumour necrosis factor-treated rheumatoid arthritis patients. Rheumatology 58(12), pp. 2162-2169. (10.1093/rheumatology/kez188)
• Watson, J., Zidek, J. V. and Shaddick, G. 2019. A general theory for preferential sampling in environmental networks. The Annals of Applied Statistics 13(4), pp. 2662-2700. (10.1214/19-aoas1288)
• Shaddick, G., Ranzi, A., Thomas, M., Aguirre-Perez, R., Bekker-Nielsen Dunbar, M., Parmagnani, F. and Martuzzi, M. 2019. Towards an assessment of the health impact of industrially contaminated sites: waste landfills in Europe. Presented at: The 2019 Annual Conference of the International Society for Environmental Epidemiology, Utrecht, 25-28 August 2019, Vol. 3. Vol. 1. International Society for Environmental Epidemiology (ISEE) pp. 324., (10.1097/01.ee9.0000609556.41642.f6)
• Antony, A. S. et al. 2019. Psoriatic nail dystrophy is associated with erosive disease in the distal interphalangeal joints in psoriatic arthritis: a retrospective cohort study. The Journal of Rheumatology 46(9), pp. 1097-1102. (10.3899/jrheum.180796)
• Betteridge, Z. et al. 2019. Frequency, mutual exclusivity and clinical associations of myositis autoantibodies in a combined European cohort of idiopathic inflammatory myopathy patients. Journal of Autoimmunity 101, pp. 48-55. (10.1016/j.jaut.2019.04.001)
• Martin, R. V., Brauer, M., van Donkelaar, A., Shaddick, G., Narain, U. and Dey, S. 2019. No one knows which city has the highest concentration of fine particulate matter. Atmospheric Environment: X 3, article number: 100040. (10.1016/j.aeaoa.2019.100040)
• Thomas, M., Shaddick, G., Simpson, D., De Hoogh, K. and Zidek, J. 2019. Data integration for high-resolution, continental-scale estimation of air pollution concentrations. [Online]. arXiv: Cornell University. (10.48550/arxiv.1907.00093) Available at: https://doi.org/10.48550/arXiv.1907.00093
• Hamann, P. D., Shaddick, G., Hyrich, K., Green, A., McHugh, N., Pauling, J. D. and BSRBR-RA, C. G. 2019. Gender stratified adjustment of the DAS28-CRP improves inter-score agreement with the DAS28-ESR in rheumatoid arthritis. Rheumatology 58(5), pp. 831-835. (10.1093/rheumatology/key374)
• Cohen, A. J. et al. 2019. Estimates and 25-year trends of the global burden of disease attributable to ambient air pollution: an analysis of data from the global burden of diseases study 2015. The Lancet 389(10082), pp. 1907-1918. (10.1016/S0140-6736(17)30505-6)
• Allard, A. et al. 2019. Trajectory of radiographic change over a decade: the effect of transition from conventional synthetic disease-modifying antirheumatic drugs to anti-tumour necrosis factor in patients with psoriatic arthritis. Rheumatology 58(2), pp. 269-273. (10.1093/rheumatology/key297)
• Charlton, R. et al. 2019. Risk of type 2 diabetes and cardiovascular disease in an incident cohort of people with psoriatic arthritis: a population-based cohort study. Rheumatology 58(1), pp. 144-148. (10.1093/rheumatology/key286)

2018

• GBD 2017 Risk Factor, C. and Shaddick, G. 2018. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017. The Lancet 392(10159), pp. 1923-1994. (10.1016/S0140-6736(18)32225-6)
• Coates, L. C., Tillett, W., Shaddick, G., Pincus, T., Kavanaugh, A. and Helliwell, P. S. 2018. Value of the routine assessment of patient index data 3 in patients with psoriatic arthritis: results from a tight-control clinical trial and an observational cohort. Arthritis Care & Research 70(8), pp. 1198-1205. (10.1002/acr.23460)
• Shaddick, G. et al. 2018. Data Integration for the assessment of population exposure to ambient air pollution for global burden of disease assessment. Environmental Science and Technology 52(16), pp. 9069–9078. (10.1021/acs.est.8b02864)
• Shaddick, G. et al. 2018. Data integration model for air quality: a hierarchical approach to the global estimation of exposures to ambient air pollution. Journal of the Royal Statistical Society. Series C: Applied Statistics 67(1), pp. 231-253. (10.1111/rssc.12227)

2017

• Liu, Y., Shaddick, G. and Zidek, J. V. 2017. Incorporating high-dimensional exposure modelling into studies of air pollution and health. Statistics in Biosciences 9(2), pp. 559-581. (10.1007/s12561-016-9150-3)
• Tillett, W. et al. 2017. Interval between onset of psoriasis and psoriatic arthritis comparing the UK Clinical Practice Research Datalink with a hospital-based cohort. Rheumatology 56(12), pp. 2109-2113. (10.1093/rheumatology/kex323)
• Tansley, S. L. et al. 2017. Autoantibodies in juvenile-onset myositis: their diagnostic value and associated clinical phenotype in a large UK cohort. Journal of Autoimmunity 84, pp. 55-64. (10.1016/j.jaut.2017.06.007)
• Williams, S. et al. 2017. How much rugby is too much? A seven-season prospective cohort study of match exposure and injury risk in professional rugby union players. Sports Medicine 47(11), pp. 2395–2402. (10.1007/s40279-017-0721-3)
• Charlton, R. et al. 2017. Risk of uveitis and inflammatory bowel disease in people with psoriatic arthritis: a population-based cohort study. Annals of the Rheumatic Diseases 77(2), pp. 277-280. (10.1136/annrheumdis-2017-212328)
• Shaddick, G., Green, A. and Watson, M. 2017. Impacts of a reduction in 11 kV voltage settings in South Wales. CIRED - Open Access Proceedings Journal 2017(1), pp. 2346-2349. (10.1049/oap-cired.2017.0367)
• GBD 2016 Risk Factors, C. and Shaddick, G. 2017. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet 390(10100), pp. 1345-1422. (10.1016/S0140-6736(17)32366-8)
• Wood, S. N., Li, Z., Shaddick, G. and Augustin, N. H. 2017. Generalized additive models for gigadata: modeling the U.K. black smoke network daily data. Journal of the American Statistical Association 112(519), pp. 1199-1210. (10.1080/01621459.2016.1195744)
• Hamann, P., Holland, R., Hyrich, K., Pauling, J. D., Shaddick, G., Nightingale, A. and McHugh, N. 2017. Factors associated with sustained remission in rheumatoid arthritis in patients treated with anti–tumor necrosis factor. Arthritis Care and Research 69(6), pp. 783-793. (10.1002/acr.23016)
• Tillett, W. et al. 2017. Effect of anti-TNF and conventional synthetic disease-modifying anti-rheumatic drug treatment on work disability and clinical outcome in a multicentre observational cohort study of psoriatic arthritis. Rheumatology 56(4), pp. 603-612. (10.1093/rheumatology/kew433)
• Tillett, W., Jadon, D., Shaddick, G., Cavill, C., Korendowych, E., de Vries, C. and McHugh, N. 2017. Smoking and delay to diagnosis are associated with poorer functional outcome in psoriatic arthritis. Annals of the Rheumatic Diseases 72(8), pp. 1358-1361. (10.1136/annrheumdis-2012-202608)

2016

• Jadon, D. R. et al. 2016. Axial disease in psoriatic arthritis study: defining the clinical and radiographic phenotype of psoriatic spondyloarthritis. Annals of the Rheumatic Diseases 76(4), pp. 701-707. (10.1136/annrheumdis-2016-209853)
• Betteridge, Z. E. et al. 2016. Brief report: anti–eukaryotic initiation factor 2B autoantibodies are associated with interstitial lung disease in patients with systemic sclerosis. Arthritis & Rheumatology 68(11), pp. 2778-2783. (10.1002/art.39755)
• GBD 2015 Risk Factors, C. and Shaddick, G. 2016. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet 388(10053), pp. 1659-1724. (10.1016/S0140-6736(16)31679-8)
• GBD 2015 Mortality and Causes of Death, C. and Shaddick, G. 2016. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet 388(10053), pp. 1459-1544. (10.1016/S0140-6736(16)31012-1)
• Tansley, S. et al. 2016. Developing standardised treatment for adults with myositis and different phenotypes: an international survey of current prescribing preferences. Clinical and Experimental Rheumatology 34(5), pp. 880-884.
• Morrison, K. T., Shaddick, G., Henderson, S. B. and Buckeridge, D. L. 2016. A latent process model for forecasting multiple time series in environmental public health surveillance. Statistics in Medicine 35(18), pp. 3085-3100. (10.1002/sim.6904)
• Lee, D., Sahu, S. and Shaddick, G. 2016. Editorial for SSTE special issue on environment and health. Spatial and Spatio-temporal Epidemiology 18 (10.1016/S1877-5845(16)30062-4)
• Shaddick, G., Zidek, J. V. and Liu, Y. 2016. Mitigating the effects of preferentially selected monitoring sites for environmental policy and health risk analysis. Spatial and Spatio-temporal Epidemiology 18, pp. 44-52. (10.1016/j.sste.2016.03.005)
• Gabe-Thomas, E., Walker, I., Verplanken, B. and Shaddick, G. 2016. Householders' mental models of domestic energy consumption: using a sort-and-cluster method to identify shared concepts of appliance similarity. PLoS ONE 11(7), article number: e0158949. (10.1371/journal.pone.0158949)
• Tillett, W., Shaddick, G., Jadon, D., Robinson, G., Korendowych, E. and McHugh, N. 2016. Novel composite radiographic score for longitudinal observational studies of psoriatic arthritis: a proof-of-concept study. The Journal of Rheumatology 43(2), pp. 367-370. (10.3899/jrheum.150114)
• Brauer, M. et al. 2016. Ambient air pollution exposure estimation for the Global Burden of Disease 2013. Environmental Science and Technology 50(1), pp. 79–88. (10.1021/acs.est.5b03709)

2015

• Forouzanfar, M. H. et al. 2015. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the global burden of disease study 2013. The Lancet 386(10010), pp. 2287-2323. (10.1016/S0140-6736(15)00128-2)
• Li, R., Gu, C., Li, F., Shaddick, G. and Dale, M. 2015. Development of low voltage network templates - part II: peak load estimation by clusterwise regression. IEEE Transactions on Power Systems 30(6), pp. 3045-3052. (10.1109/tpwrs.2014.2371477)
• Li, R., Gu, C., Li, F., Shaddick, G. and Dale, M. 2015. Development of low voltage network templates - part I: substation clustering and classification. IEEE Transactions on Power Systems 30(6), pp. 3036-3044. (10.1109/tpwrs.2014.2371474)
• Jadon, D. R. et al. 2015. Psoriatic arthritis mutilans: characteristics and natural radiographic history. The Journal of Rheumatology 42(7), pp. 1169-1176. (10.3899/jrheum.150083)
• Shaddick, G. and Zidek, J. V. 2015. Spatio-temporal methods in environmental epidemiology. New York: Chapman and Hall/CRC. (10.1201/b18600)
• Jadon, D. R., Shaddick, G., Jobling, A., Ramanan, A. V. and Sengupta, R. 2015. Clinical outcomes and progression to orthopedic surgery in juvenile- versus adult-onset ankylosing spondylitis. Arthritis Care & Research 67(5), pp. 651-657. (10.1002/acr.22500)
• Tillett, W. et al. 2015. Factors influencing work disability in psoriatic arthritis: first results from a large UK multicentre study. Rheumatology 54(1), pp. 157–162. (10.1093/rheumatology/keu264)

2014

• Tansley, S. L., Betteridge, Z. E., Shaddick, G., Gunawardena, H., Arnold, K., Wedderburn, L. R. and McHugh, N. J. 2014. Calcinosis in juvenile dermatomyositis is influenced by both anti-NXP2 autoantibody status and age at disease onset. Rheumatology 53(12), pp. 2204-2208. (10.1093/rheumatology/keu259)
• Zidek, J. V., Shaddick, G. and Taylor, C. G. 2014. Reducing estimation bias in adaptively changing monitoring networks with preferential site selection. Annals of Applied Statistics 8(3), pp. 1640-1670. (10.1214/14-aoas745)
• Shaddick, G. and Zidek, J. V. 2014. A case study in preferential sampling: long term monitoring of air pollution in the UK. Spatial Statistics 9(C), pp. 51-65. (10.1016/j.spasta.2014.03.008)
• Tillett, W. et al. 2014. Feasibility, reliability, and sensitivity to change of four radiographic scoring methods in patients with psoriatic arthritis. Arthritis Care & Research 66(2), pp. 311-317. (10.1002/acr.22104)

2013

• Shaddick, G., Yan, H. and Vienneau, D. 2013. A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe. Environmental and Ecological Statistics 20(4), pp. 553–570. (10.1007/s10651-012-0234-z)
• Roberts, S. P., Trewartha, G., England, M., Shaddick, G. and Stokes, K. A. 2013. Epidemiology of time-loss injuries in English community-level rugby union. BMJ Open 3(11), article number: e003998. (10.1136/bmjopen-2013-003998)
• Strickland, G., Pauling, J., Cavill, C., Shaddick, G. and McHugh, N. 2013. Mortality in systemic sclerosis - A single centre study from the UK. Clinical Rheumatology 32(10), pp. 1533-1539. (10.1007/s10067-013-2289-0)
• 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(1), pp. 65-74. (10.1016/j.jag.2012.03.011)
• Zhang, Y., Li, F., Hu, Z. and Shaddick, G. 2013. Quantification of low voltage network reinforcement costs: A statistical approach. IEEE Transactions on Power Systems 28(2), pp. 810-818. (10.1109/TPWRS.2012.2210572)
• Elliott, P., Shaddick, G., Douglass, M., de Hoogh, K., Briggs, D. J. and Toledano, M. B. 2013. Adult cancers near high-voltage overhead power lines. Epidemiology 24(2), pp. 184-190. (10.1097/ede.0b013e31827e95b9)
• Shaddick, G., Yan, H., Salway, R., Vienneau, D., Kounali, D. and Briggs, D. 2013. Large-scale Bayesian spatial modelling of air pollution for policy support. Journal of Applied Statistics 40(4), pp. 777-794. (10.1080/02664763.2012.754851)

2012

• Fantke, P., Wieland, P., Juraske, R., Shaddick, G., Eva, S. I., Friedrich, R. and Olivier, J. 2012. Parameterization models for pesticide exposure via crop consumption. Environmental Science and Technology 46(23), pp. 12864-12872. (10.1021/es301509u)
• Tillett, W., Shaddick, G., Korendowych, E., de Vries, C. and McHugh, N. 2012. Joint count reliability in psoriatic arthritis observational trials-an unreported problem. Rheumatology 51(7), pp. 1333-1334. (10.1093/rheumatology/kes095)
• Bornn, L., Shaddick, G. and Zidek, J. 2012. Modeling nonstationary processes through dimension expansion. Journal of the American Statistical Association 107(497), pp. 281-289. (10.1080/01621459.2011.646919)

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. (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. (10.1002/sim.4039)

2008

• Shaddick, G., Lee, D., Zidek, J. and Salway, R. 2008. Estimating exposure response functions using ambient pollution concentrations. The Annals of Applied Statistics 2(4), pp. 1249-1270. (10.1214/08-AOAS177)
• 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. (10.1002/env.894)

2007

• Shaddick, G., Choo, L. and Walker, S. 2007. Modelling correlated count data with covariates. Journal of Statistical Computation and Simulation 77(11), pp. 945-954. (10.1080/10629360600851974)
• Zidek, J., 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. (10.1007/s10651-007-0028-x)
• Elliott, P., Shaddick, G., Wakefield, J., de Hoogh, C. and Briggs, D. 2007. Long-term associations of outdoor air pollution with mortality in Great Britain. Thorax 62(12), pp. 1088-1094. (10.1136/thx.2006.076851)
• Diggle, P., Morris, S., Elliott, P. and Shaddick, G. 2007. Regression modelling of disease risk in relation to Point sources. Journal of the Royal Statistical Society: Statistics in Society Series A 160(3), pp. 491-505. (10.1111/j.1467-985X.1997.00076.x)
• Miranda, M. S., Shaddick, G., Dunn, R. W., Li, F. and Bell, K. R. 2007. Bayesian inferencing for wind resource characterisation. Presented at: International Conference on Probabilistic Methods Applied to Power Systems, Stockholm, Sweden, 11-15 June 2006Proceedings 2006 International Conference on Probabilistic Methods Applied to Power Systems. IEEE pp. 1-6., (10.1109/PMAPS.2006.360207)
• 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. (10.1111/j.1541-0420.2007.00776.x)

2006

• Wakefield, J. and Shaddick, G. 2006. Health-exposure modeling and the ecological fallacy. Biostatistics 7(3), pp. 438-455. (10.1093/biostatistics/kxj017)
• Miranda, M., Shaddick, G. and Dunn, R. 2006. Spatial characterisation of wind resource using a Bayesian approach. Presented at: EWEC 2006, Athens, Greece, 27 February - 02 March 2006Proceedings European Wind Energy Conference and Exhibition 2006, Vol. 3. pp. 2221-2227.

2005

• 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. (10.1002/env.716)
• Toledano, M., Shaddick, G. and Elliott, P. 2005. Seasonal variations in all-cause and cardiovascular mortality and the role of temperature. In: Marmot, M. and Elliott, P. eds. Coronary Heart Disease Epidemiology: From Aetiology to Public Health (2nd Edition). Oxford Medical Publications Oxford University Press, pp. 495-527., (10.1093/acprof:oso/9780198525738.003.0031)

2002

• Shaddick, G. and Wakefield, J. 2002. Modelling daily multivariate pollutant data at multiple sites. Journal of the Royal Statistical Society: Series C 51(3), pp. 351-372. (10.1111/1467-9876.00273)

2000

• Elliott, P., Eaton, N., Shaddick, G. and Carter, R. 2000. Cancer incidence near municipal solid waste incinerators in Great Britain. Part 2: Histopathological and case-note review of primary liver cancer cases. British Journal of Cancer 82(5), pp. 1103-1106. (10.1054/bjoc.1999.1046)

1999

• Wilkinson, P., Elliott, P., Grundy, C., Shaddick, G., Thakrar, B., Walls, P. and Falconer, S. 1999. Case-control study of hospital admission with asthma in children aged 5-14 years: Relation with road traffic in north west London. Thorax 54(12), pp. 1070-1074. (10.1136/thx.54.12.1070)

1997

• Eaton, N., Shaddick, G., Dolk, H. and Elliott, P. 1997. Small-area study of the incidence of neoplasms of the brain and central nervous system among adults in the West Midlands Region, 1974-86. British Journal of Cancer 75(7), pp. 1080-1083. (10.1038/bjc.1997.184)
• Wilkinson, P. et al. 1997. Cancer incidence and mortality around the Pan Britannica Industries pesticide factory, Waltham Abbey. Occupational & Environmental Medicine 54(2), pp. 101-107. (10.1136/oem.54.2.101)
• Dolk, H., Elliott, P., Shaddick, G., Walls, P. and Thakrar, B. 1997. Cancer incidence near radio and television transmitters in Great Britain. II. All high power transmitters. American Journal of Epidemiology 145(1), pp. 10-17. (10.1093/oxfordjournals.aje.a009026)
• Dolk, H., Shaddick, G., Walls, P., Grundy, C., Thakrar, B., Kleinschmidt, I. and Elliott, P. 1997. Cancer incidence near radio and television transmitters in Great Britain. I. Sutton Coldfield transmitter. American Journal of Epidemiology 145(1), pp. 1-9. (10.1093/oxfordjournals.aje.a009025)

1996

• Shaddick, G. and Elliott, P. 1996. Use of stone's method in studies of disease risk around point sources of environmental pollution. Statistics in Medicine 15(18), pp. 1927-1934. (10.1002/(sici)1097-0258(19960930)15:18<1927::aid-sim405>3.0.co;2-g)
• Livingstone, A., Shaddick, G., Grundy, C. and Elliott, P. 1996. Do people living near inner city main roads have more asthma needing treatment? Case-control study. British Medical Journal 312(7032), pp. 676-677. (10.1136/bmj.312.7032.676)
• Elliott, P., Shaddick, G., Kleinschmidt, I., Jolley, D., Walls, P. and Beresford, J. 1996. Cancer incidence near municipal solid waste incinerators in Great Britain. British Journal of Cancer 73(5), pp. 702-710. (10.1038/bjc.1996.122)

1995

• Dolk, H., Mertens, B., Kleinschmidt, I., Walls, P., Shaddick, G. and Elliott, P. 1995. A standardisation approach to the control of socioeconomic confounding in small area studies of environment and health. Journal of Epidemiology and Community Health 49(SUPPL.) (10.1136/jech.49.Suppl_2.S9)
• Elliott, P., Martuzzi, M. and Shaddick, G. 1995. Spatial statistical methods in environmental epidemiology: A critique. Statistical Methods in Medical Research 4(2), pp. 137-159. (10.1177/096228029500400204)
• Sans, S. et al. 1995. Cancer incidence and mortality near the Baglan Bay petrochemical works, South Wales. Occupational & Environmental Medicine 52(4), pp. 217-224. (10.1136/oem.52.4.217)