Items where Author is "Best, Nicky"

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Number of items: 7.

Article

Foreman, Kyle, Li, Guangquan, Best, Nicky and Ezzati, Majid (2017) Small area forecasts of cause-specific mortality: application of a Bayesian hierarchical model to US vital registration data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66 (1). pp. 121-139. ISSN 0035-9254

Bennett, James, Li, Guangquan, Foreman, Kyle, Best, Nicky, Kontis, Vasilis, Pearson, Clare, Hambly, Peter and Ezzati, Majid (2015) The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting. The Lancet, 386 (9989). pp. 163-170. ISSN 0140-6736

Li, Guangquan, Haining, Robert, Richardson, Sylvia and Best, Nicky (2014) Space–time variability in burglary risk: A Bayesian spatio-temporal modelling approach. Spatial Statistics, 9. pp. 180-191. ISSN 2211-6753

Li, Guangquan, Haining, Robert, Richardson, Sylvia and Best, Nicky (2013) Evaluating the No Cold Calling zones in Peterborough, England: application of a novel statistical method for evaluating neighbourhood policing policies. Environment and Planning A, 45 (8). pp. 2012-2026. ISSN 0308-518X

Li, Guangquan, Best, Nicky, Hansell, Anna, Ahmed, Ismail and Richardson, Sylvia (2012) BaySTDetect: detecting unusual temporal patterns in small area data via Bayesian model choice. Biostatistics, 13 (4). pp. 695-710. ISSN 1465-4644

Haining, Robert, Li, Guangquan, Maheswaran, Ravi, Blangiardo, Marta, Law, Jane, Best, Nicky and Richardson, Sylvia (2010) Inference from ecological models: Estimating the relative risk of stroke from air pollution exposure using small area data. Spatial and Spatio-temporal Epidemiology, 1 (2-3). pp. 123-131. ISSN 18775845

Book Section

Li, Guangquan, Richardson, Sylvia, Fortunato, Lea, Ahmed, Ismail, Hansell, Anna, Toledano, Mireille and Best, Nicky (2011) Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect. In: 2011 IEEE 11th International Conference on Data Mining Workshops. IEEE, Piscataway, NJ, pp. 885-890. ISBN 978-1-4673-0005-6

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