2022

Yin, X., Napier, G. , Anderson, C. and Lee, D. (2022) Spatio-temporal disease risk estimation using clustering-based adjacency modelling. Statistical Methods in Medical Research, 31(6), pp. 1184-1203. (doi: 10.1177/09622802221084131) (PMID:35286183) (PMCID:PMC9245163)

2019

Napier, G. , Lee, D. , Robertson, C. and Lawson, A. (2019) A Bayesian space–time model for clustering areal units based on their disease trends. Biostatistics, 20(4), pp. 681-697. (doi: 10.1093/biostatistics/kxy024) (PMID:29917057) (PMCID:PMC6797054)

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, 29, pp. 85-96. (doi: 10.1016/j.sste.2019.02.003)

2018

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)

2016

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)

2015

Napier, G. , Nobile, A. and Neocleous, T. (2015) An online application for the classification and evidence evaluation of forensic glass fragments. Chemometrics and Intelligent Laboratory Systems, 146, pp. 418-425. (doi: 10.1016/j.chemolab.2015.06.013)

Napier, G., Neocleous, T. and Nobile, A. (2015) A composite Bayesian hierarchical model of compositional data with zeros. Journal of Chemometrics, 9(2), pp. 96-108. (doi: 10.1002/cem.2681)

Articles

Yin, X., Napier, G. , Anderson, C. and Lee, D. (2022) Spatio-temporal disease risk estimation using clustering-based adjacency modelling. Statistical Methods in Medical Research, 31(6), pp. 1184-1203. (doi: 10.1177/09622802221084131) (PMID:35286183) (PMCID:PMC9245163)

Napier, G. , Lee, D. , Robertson, C. and Lawson, A. (2019) A Bayesian space–time model for clustering areal units based on their disease trends. Biostatistics, 20(4), pp. 681-697. (doi: 10.1093/biostatistics/kxy024) (PMID:29917057) (PMCID:PMC6797054)

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, 29, pp. 85-96. (doi: 10.1016/j.sste.2019.02.003)

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)

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)

Napier, G. , Nobile, A. and Neocleous, T. (2015) An online application for the classification and evidence evaluation of forensic glass fragments. Chemometrics and Intelligent Laboratory Systems, 146, pp. 418-425. (doi: 10.1016/j.chemolab.2015.06.013)

Napier, G., Neocleous, T. and Nobile, A. (2015) A composite Bayesian hierarchical model of compositional data with zeros. Journal of Chemometrics, 9(2), pp. 96-108. (doi: 10.1002/cem.2681)