Dr Craig Anderson

  • Senior Lecturer (Statistics)

telephone: 01413302382
email: Craig.Anderson@glasgow.ac.uk
pronouns: He/him/his

Room 343, School of Mathematics and Statistics

Import to contacts

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

Biography

Dr Craig Anderson is a Senior Lecturer in Statistics at the University of Glasgow. He obtained a BSc in Statistics from the University of Glasgow in 2011, and a PhD in Statistics from the same university in 2015. Craig worked as a Postdoctoral Research Fellow at the University of Technology Sydney from 2015-2017 before returning to Glasgow to take up his current role.

As well as his research and teaching activities, Craig has a strong passion for outreach and statistics communication, and enjoys working with schools and the general public to improve understanding of the subject. He enjoys writing articles for non-academic media outlets such as The Conversation, and has also appeared several times on local and national radio to talk about this work.

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 groups

Publications

List by: Type | Date

Jump to: 2026 | 2025 | 2024 | 2023 | 2022 | 2019 | 2018 | 2017 | 2016 | 2014
Number of items: 15.

2026

Channgam, Taweesak, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2026) Bayesian group and sparse-group LASSO with spike-and-slab priors in quantile mixed models: an application to child growth data. Thailand Statistician, (Accepted for Publication)

2025

Yin, Xueqing, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Napier, Gary ORCID logoORCID: https://orcid.org/0000-0002-2447-4126 (2025) Risk estimation and boundary detection in Bayesian disease mapping. International Journal of Biostatistics, 21(1), pp. 129-150. (doi: 10.1515/ijb-2023-0138) (PMID:40418785)

2024

Rocha, A. S. et al. (2024) Postnatal growth in small vulnerable newborns: a longitudinal study of 2 million Brazilians using routine register-based linked data. American Journal of Clinical Nutrition, 119(2), pp. 444-455. (doi: 10.1016/j.ajcnut.2023.12.009) (PMID:38128734)

2023

Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 (2023) Delivering spatially comparable inference on the risks of multiple severities of respiratory disease from spatially misaligned disease count data. Biometrics, 79(3), pp. 2691-2704. (doi: 10.1111/biom.13739) (PMID:35972420)

2022

Sullivan, M. K. et al. (2022) The presence and impact of multimorbidity clusters on adverse outcomes across the spectrum of kidney function. BMC Medicine, 20, 420. (doi: 10.1186/s12916-022-02628-2) (PMID:36320059) (PMCID:PMC9623942)

Yin, Xueqing, Napier, Gary ORCID logoORCID: https://orcid.org/0000-0002-2447-4126, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 and Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 (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

McIntosh, Alasdair and Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 (2019) Modelling the Risk of Exceeding Air Quality Monitoring Thresholds in Scotland. Project Report. Scottish Government.

Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Hafen, Ryan, Sofrygin, Oleg and Ryan, Louise (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, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Xiao, Luo and Checkley, William (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, Md Hamidul, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Walton, Richard, Woolford, Samuel and Ryan, Louise (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, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 and Ryan, Louise (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, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 (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, Md. Hamidul, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Walton, Richard and Ryan, Louise (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, Craig, Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 (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, Craig, Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 (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 Sat Jan 17 16:52:03 2026 GMT.
Jump to: Articles | Research Reports or Papers
Number of items: 15.

Articles

Channgam, Taweesak, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2026) Bayesian group and sparse-group LASSO with spike-and-slab priors in quantile mixed models: an application to child growth data. Thailand Statistician, (Accepted for Publication)

Yin, Xueqing, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Napier, Gary ORCID logoORCID: https://orcid.org/0000-0002-2447-4126 (2025) Risk estimation and boundary detection in Bayesian disease mapping. International Journal of Biostatistics, 21(1), pp. 129-150. (doi: 10.1515/ijb-2023-0138) (PMID:40418785)

Rocha, A. S. et al. (2024) Postnatal growth in small vulnerable newborns: a longitudinal study of 2 million Brazilians using routine register-based linked data. American Journal of Clinical Nutrition, 119(2), pp. 444-455. (doi: 10.1016/j.ajcnut.2023.12.009) (PMID:38128734)

Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 (2023) Delivering spatially comparable inference on the risks of multiple severities of respiratory disease from spatially misaligned disease count data. Biometrics, 79(3), pp. 2691-2704. (doi: 10.1111/biom.13739) (PMID:35972420)

Sullivan, M. K. et al. (2022) The presence and impact of multimorbidity clusters on adverse outcomes across the spectrum of kidney function. BMC Medicine, 20, 420. (doi: 10.1186/s12916-022-02628-2) (PMID:36320059) (PMCID:PMC9623942)

Yin, Xueqing, Napier, Gary ORCID logoORCID: https://orcid.org/0000-0002-2447-4126, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 and Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 (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)

Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Hafen, Ryan, Sofrygin, Oleg and Ryan, Louise (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, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Xiao, Luo and Checkley, William (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, Md Hamidul, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Walton, Richard, Woolford, Samuel and Ryan, Louise (2018) Smooth individual level covariates adjustment in disease mapping. Biometrical Journal, 60(3), pp. 597-615. (doi: 10.1002/bimj.201700143) (PMID:29577405)

Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 and Ryan, Louise (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, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 (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, Md. Hamidul, Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727, Walton, Richard and Ryan, Louise (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, Craig, Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 (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, Craig, Lee, Duncan ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 (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, Alasdair and Anderson, Craig ORCID logoORCID: https://orcid.org/0000-0003-1554-5727 (2019) Modelling the Risk of Exceeding Air Quality Monitoring Thresholds in Scotland. Project Report. Scottish Government.

This list was generated on Sat Jan 17 16:52:03 2026 GMT.

Supervision

Teaching

Head of Level 4 Statistics

Course Lecturer - Linear Mixed Models
Course Lecturer - Environmental Statistics


A photograph of Dr Craig Anderson

Dr Craig Anderson on Twitter