Dr Craig Anderson

  • Senior Lecturer (Statistics)

telephone: 01413302382
email: Craig.Anderson@glasgow.ac.uk

Room 343, School of Mathematics and Statistics

ORCID iDhttps://orcid.org/0000-0003-1554-5727

Research interests

My main research interests lie in developing statistical methodology for health data, with a focus on health inequalities both in Scotland and globally.  I have a particular interest in spatial statistics, and the development of methodology for disease mapping.  Disease maps are an important public health tool in compare the risks of a disease across a geographic region, and in particular to identify regions of high risk which require additional health care resources.

I also have an interest in growth modelling, where I work on identifying and developing suitable modelling strategies to accurately capture the growth trajectories of young children in low and middle income countries.  By doing so, one can often start to identify the social and environmental factors which may lead to poor growth in these regions.

Research units

Publications

List by: Type | Date

Jump to: 2019 | 2018 | 2017 | 2016 | 2014
Number of items: 9.

2019

McIntosh, A. and Anderson, C. (2019) Modelling the Risk of Exceeding Air Quality Monitoring Thresholds in Scotland. Project Report. Scottish Government.

Anderson, C. , Hafen, R., Sofrygin, O. and Ryan, L. (2019) Comparing predictive abilities of longitudinal child growth models. Statistics in Medicine, 38(19), pp. 3555-3570. (doi: 10.1002/sim.7693) (PMID:30094965)

Anderson, C. , Xiao, L. and Checkley, W. (2019) Using data from multiple studies to develop a child growth correlation matrix. Statistics in Medicine, 30(19), pp. 3540-3554. (doi: 10.1002/sim.7696) (PMID:29700850)

2018

Huque, M. H., Anderson, C. , Walton, R., Woolford, S. and Ryan, L. (2018) Smooth individual level covariates adjustment in disease mapping. Biometrical Journal, 60(3), pp. 597-615. (doi: 10.1002/bimj.201700143) (PMID:29577405)

2017

Anderson, C. and Ryan, L. (2017) A comparison of spatio-temporal disease mapping approaches including an application to ischaemic heart disease in New South Wales, Australia. International Journal of Environmental Research and Public Health, 14(2), 146. (doi: 10.3390/ijerph14020146) (PMID:28165383) (PMCID:PMC5334700)

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)

2016

Huque, M. H. , Anderson, C. , Walton, R. and Ryan, L. (2016) Individual level covariate adjusted conditional autoregressive (indiCAR) model for disease mapping. International Journal of Health Geographics, 15(1), 25. (doi: 10.1186/s12942-016-0055-7) (PMID:27473270) (PMCID:PMC4966783)

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)

2014

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)

This list was generated on Thu Sep 23 16:10:48 2021 BST.
Jump to: Articles | Research Reports or Papers
Number of items: 9.

Articles

Anderson, C. , Hafen, R., Sofrygin, O. and Ryan, L. (2019) Comparing predictive abilities of longitudinal child growth models. Statistics in Medicine, 38(19), pp. 3555-3570. (doi: 10.1002/sim.7693) (PMID:30094965)

Anderson, C. , Xiao, L. and Checkley, W. (2019) Using data from multiple studies to develop a child growth correlation matrix. Statistics in Medicine, 30(19), pp. 3540-3554. (doi: 10.1002/sim.7696) (PMID:29700850)

Huque, M. H., Anderson, C. , Walton, R., Woolford, S. and Ryan, L. (2018) Smooth individual level covariates adjustment in disease mapping. Biometrical Journal, 60(3), pp. 597-615. (doi: 10.1002/bimj.201700143) (PMID:29577405)

Anderson, C. and Ryan, L. (2017) A comparison of spatio-temporal disease mapping approaches including an application to ischaemic heart disease in New South Wales, Australia. International Journal of Environmental Research and Public Health, 14(2), 146. (doi: 10.3390/ijerph14020146) (PMID:28165383) (PMCID:PMC5334700)

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)

Huque, M. H. , Anderson, C. , Walton, R. and Ryan, L. (2016) Individual level covariate adjusted conditional autoregressive (indiCAR) model for disease mapping. International Journal of Health Geographics, 15(1), 25. (doi: 10.1186/s12942-016-0055-7) (PMID:27473270) (PMCID:PMC4966783)

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)

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)

Research Reports or Papers

McIntosh, A. and Anderson, C. (2019) Modelling the Risk of Exceeding Air Quality Monitoring Thresholds in Scotland. Project Report. Scottish Government.

This list was generated on Thu Sep 23 16:10:48 2021 BST.