Dr Craig Wilkie

  • Lecturer in Statistics & Data Analytics (Statistics)

email: Craig.Wilkie@glasgow.ac.uk

Room 219, School of Mathematics and Statistics, University of Glasgow, University Place, Glasgow, G12 8QQ

Import to contacts

Research interests

I am interested in environmental statistics, with a focus on methods for spatiotemporal data fusion. My PhD focussed on developing a method of nonparametric statistical downscaling for fusing satellite and in-lake water quality data, with differing spatial and temporal supports. I aim to develop this further in my current research applied to river water data.

I have also worked on using statistical modelling to understand the effects of connectivity and stress on richness of key species in UK freshwater lakes.

I have also developed work recently in the modelling of healthcare and virology-related data, to understand vaccine effectiveness on different SARS-CoV-2 variants over time. I have also contributed to other projects in this area of research.

Research groups

Publications

List by: Type | Date

Jump to: 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2015
Number of items: 19.

2024

Zou, Z., O'Donnell, R. , Miller, C. , Lee, D. and Wilkie, C. (2024) A computationally efficient spatio-temporal fusion model for reflectance data. In: Developments in Statistical Modelling, 38th International Workshop on Statistical Modelling (IWSM 2024), Durham, UK, 14-19 Jul 2024, (Accepted for Publication)

Wilkie, C., Ray, S. , Miller, C. and Scott, M. (2024) Investigating River Water Quality Using Network Distance Based Spatiotemporal Flexible Regression. In: 52nd Scientific Meeting of the Italian Statistical Society, Bari, Italy, 17-20 Jun 2024, (Accepted for Publication)

2023

Cantoni, D. et al. (2023) Correlation between pseudotyped virus and authentic virus neutralisation assays, a systematic review and meta-analysis of the literature. Frontiers in Immunology, 14, 1184362. (doi: 10.3389/fimmu.2023.1184362) (PMID:37790941) (PMCID:PMC10544934)

Sekhar Sen, I. et al. (2023) Geochemical evolution of dissolved trace elements in space and time in the Ramganga River, India. Environmental Monitoring and Assessment, 195(10), 1150. (doi: 10.1007/s10661-023-11665-0) (PMID:37668950) (PMCID:37668950)

Pascall, D. J. et al. (2023) Directions of change in intrinsic case severity across successive SARS-CoV-2 variant waves have been inconsistent. Journal of Infection, 87(2), pp. 128-135. (doi: 10.1016/j.jinf.2023.05.019) (PMID:37270070) (PMCID:PMC10234362)

Ho, A. et al. (2023) Adeno-associated virus 2 infection in children with non-A-E hepatitis. Nature, 617(7961), pp. 555-563. (doi: 10.1038/s41586-023-05948-2) (PMID:36996873)

Pascall, D. J. et al. (2023) The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: a genomics-based retrospective cohort analysis. PLoS ONE, 18(4), e0284187. (doi: 10.1371/journal.pone.0284187) (PMID:37053201) (PMCID:PMC10101505)

2022

Ray, S. , Banerjee, A., Swift, A., Fanstone, J. W., Mamalakis, M., Vorselaars, B., Wilkie, C., Cole, J., Mackenzie, L. S. and Weeks, S. (2022) A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest x-rays. Scientific Reports, 12, 18220. (doi: 10.1038/s41598-022-21803-2) (PMID:36309547) (PMCID:PMC9617052)

Willett, B. J. et al. (2022) SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway. Nature Microbiology, 7(8), pp. 1161-1179. (doi: 10.1038/s41564-022-01143-7) (PMID:35798890) (PMCID:PMC9352574)

Boss, A. N. et al. (2022) Development of a mortality prediction model in hospitalised SARS-CoV-2 positive patients based on routine kidney biomarkers. International Journal of Molecular Sciences, 23(13), 7260. (doi: 10.3390/ijms23137260) (PMID:35806273) (PMCID:PMC9266863)

Chadwick, F. J. et al. (2022) Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country. Nature Communications, 13, 2877. (doi: 10.1038/s41467-022-30640-w) (PMID:35618714) (PMCID:PMC9135686)

Belmont Osuna, J. , Miller, C. , Scott, M. and Wilkie, C. (2022) A new statistical approach for identifying rare species under imperfect detection. Diversity and Distributions, 28(5), pp. 882-893. (doi: 10.1111/ddi.13495)

2021

Wilkie, C., Ray, S. , Scott, M. and Miller, C. (2021) Bayesian Spatiotemporal Statistical Modelling of Water Quality within Rivers. EGU General Assembly 2021, 19-30 Apr 2021. (doi: 10.5194/egusphere-egu21-10843)

Wilkie, C., Ray, S. , Scott, M. , Miller, C. , Sinha, R. and Bowes, M. (2021) Statistical Downscaling for the Fusion of In-river, Drone and Satellite Water Quality Data in a River Network. 8th Channel Network Conference, 07-09 April 2021.

Mackenzie, L. S., Wilkie, C., Ray, S. , Banerjee, A., Mamalakis, M., Swift, A. J., Vorselaars, B., Fanstone, J. and Weeks, S. (2021) Can Kidney Function Be Used to Predict Survival of COVID-19 in Hospitals? Predictive Modelling in a Retrospective Cohort Study. Pharmacology 2021: Today's Science, Tomorrow's Medicines, 07-09 Sep 2021.

2020

Wilkie, C., Belmont, J., Miller, C. , Scott, M. , August, T. and Taylor, P. (2020) Hierarchical Species Distribution Modelling Across High Dimensional Nested Spatial Scales. In: 35th International Workshop on Statistical Modelling, Bilbao, Spain, 20-24 Jul 2020, pp. 450-453. ISBN 9788413192673

2019

Wilkie, C.J., Miller, C.A. , Scott, E.M. , O'Donnell, R.A. , Hunter, P.D., Spyrakos, E. and Tyler, A.N. (2019) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. Environmetrics, 30(3), e2549. (doi: 10.1002/env.2549)

2018

Wilkie, C., Miller, C. , Scott, M. , Simis, S., Groom, S., Hunter, P., Spyrakos, E. and Tyler, A. (2018) Spatiotemporal Statistical Downscaling for the Fusion of In-lake and Remote Sensing Data. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 207-212.

2015

Wilkie, C. J., Scott, E. M. , Miller, C. , Tyler, A. N., Hunter, P. D. and Spyrakos, E. (2015) Data Fusion of Remote-sensing and In-lake chlorophylla Data Using Statistical Downscaling. In: Spatial Statistics 2015: Emerging Patterns, Avignon, France, 9-12 Jun 2015, pp. 123-126. (doi: 10.1016/j.proenv.2015.05.014)

This list was generated on Fri May 24 17:15:32 2024 BST.
Number of items: 19.

Articles

Cantoni, D. et al. (2023) Correlation between pseudotyped virus and authentic virus neutralisation assays, a systematic review and meta-analysis of the literature. Frontiers in Immunology, 14, 1184362. (doi: 10.3389/fimmu.2023.1184362) (PMID:37790941) (PMCID:PMC10544934)

Sekhar Sen, I. et al. (2023) Geochemical evolution of dissolved trace elements in space and time in the Ramganga River, India. Environmental Monitoring and Assessment, 195(10), 1150. (doi: 10.1007/s10661-023-11665-0) (PMID:37668950) (PMCID:37668950)

Pascall, D. J. et al. (2023) Directions of change in intrinsic case severity across successive SARS-CoV-2 variant waves have been inconsistent. Journal of Infection, 87(2), pp. 128-135. (doi: 10.1016/j.jinf.2023.05.019) (PMID:37270070) (PMCID:PMC10234362)

Ho, A. et al. (2023) Adeno-associated virus 2 infection in children with non-A-E hepatitis. Nature, 617(7961), pp. 555-563. (doi: 10.1038/s41586-023-05948-2) (PMID:36996873)

Pascall, D. J. et al. (2023) The SARS-CoV-2 Alpha variant was associated with increased clinical severity of COVID-19 in Scotland: a genomics-based retrospective cohort analysis. PLoS ONE, 18(4), e0284187. (doi: 10.1371/journal.pone.0284187) (PMID:37053201) (PMCID:PMC10101505)

Ray, S. , Banerjee, A., Swift, A., Fanstone, J. W., Mamalakis, M., Vorselaars, B., Wilkie, C., Cole, J., Mackenzie, L. S. and Weeks, S. (2022) A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest x-rays. Scientific Reports, 12, 18220. (doi: 10.1038/s41598-022-21803-2) (PMID:36309547) (PMCID:PMC9617052)

Willett, B. J. et al. (2022) SARS-CoV-2 Omicron is an immune escape variant with an altered cell entry pathway. Nature Microbiology, 7(8), pp. 1161-1179. (doi: 10.1038/s41564-022-01143-7) (PMID:35798890) (PMCID:PMC9352574)

Boss, A. N. et al. (2022) Development of a mortality prediction model in hospitalised SARS-CoV-2 positive patients based on routine kidney biomarkers. International Journal of Molecular Sciences, 23(13), 7260. (doi: 10.3390/ijms23137260) (PMID:35806273) (PMCID:PMC9266863)

Chadwick, F. J. et al. (2022) Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country. Nature Communications, 13, 2877. (doi: 10.1038/s41467-022-30640-w) (PMID:35618714) (PMCID:PMC9135686)

Belmont Osuna, J. , Miller, C. , Scott, M. and Wilkie, C. (2022) A new statistical approach for identifying rare species under imperfect detection. Diversity and Distributions, 28(5), pp. 882-893. (doi: 10.1111/ddi.13495)

Wilkie, C.J., Miller, C.A. , Scott, E.M. , O'Donnell, R.A. , Hunter, P.D., Spyrakos, E. and Tyler, A.N. (2019) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. Environmetrics, 30(3), e2549. (doi: 10.1002/env.2549)

Conference or Workshop Item

Wilkie, C., Ray, S. , Scott, M. and Miller, C. (2021) Bayesian Spatiotemporal Statistical Modelling of Water Quality within Rivers. EGU General Assembly 2021, 19-30 Apr 2021. (doi: 10.5194/egusphere-egu21-10843)

Wilkie, C., Ray, S. , Scott, M. , Miller, C. , Sinha, R. and Bowes, M. (2021) Statistical Downscaling for the Fusion of In-river, Drone and Satellite Water Quality Data in a River Network. 8th Channel Network Conference, 07-09 April 2021.

Mackenzie, L. S., Wilkie, C., Ray, S. , Banerjee, A., Mamalakis, M., Swift, A. J., Vorselaars, B., Fanstone, J. and Weeks, S. (2021) Can Kidney Function Be Used to Predict Survival of COVID-19 in Hospitals? Predictive Modelling in a Retrospective Cohort Study. Pharmacology 2021: Today's Science, Tomorrow's Medicines, 07-09 Sep 2021.

Conference Proceedings

Zou, Z., O'Donnell, R. , Miller, C. , Lee, D. and Wilkie, C. (2024) A computationally efficient spatio-temporal fusion model for reflectance data. In: Developments in Statistical Modelling, 38th International Workshop on Statistical Modelling (IWSM 2024), Durham, UK, 14-19 Jul 2024, (Accepted for Publication)

Wilkie, C., Ray, S. , Miller, C. and Scott, M. (2024) Investigating River Water Quality Using Network Distance Based Spatiotemporal Flexible Regression. In: 52nd Scientific Meeting of the Italian Statistical Society, Bari, Italy, 17-20 Jun 2024, (Accepted for Publication)

Wilkie, C., Belmont, J., Miller, C. , Scott, M. , August, T. and Taylor, P. (2020) Hierarchical Species Distribution Modelling Across High Dimensional Nested Spatial Scales. In: 35th International Workshop on Statistical Modelling, Bilbao, Spain, 20-24 Jul 2020, pp. 450-453. ISBN 9788413192673

Wilkie, C., Miller, C. , Scott, M. , Simis, S., Groom, S., Hunter, P., Spyrakos, E. and Tyler, A. (2018) Spatiotemporal Statistical Downscaling for the Fusion of In-lake and Remote Sensing Data. In: 33rd International Workshop on Statistical Modelling (IWSM 2018), Bristol, UK, 16-20 Jul 2018, pp. 207-212.

Wilkie, C. J., Scott, E. M. , Miller, C. , Tyler, A. N., Hunter, P. D. and Spyrakos, E. (2015) Data Fusion of Remote-sensing and In-lake chlorophylla Data Using Statistical Downscaling. In: Spatial Statistics 2015: Emerging Patterns, Avignon, France, 9-12 Jun 2015, pp. 123-126. (doi: 10.1016/j.proenv.2015.05.014)

This list was generated on Fri May 24 17:15:32 2024 BST.

Teaching

  • STATS4044/STATS3017 Introduction to R Programming (2021 - 2022, 2022 - 2023 and 2023 - 2024).

Research datasets

Jump to: 2018
Number of items: 1.

2018

Wilkie, C., Miller, C. , Scott, E. M. , O'Donnell, R., Hunter, P., Spyrakos, E. and Tyler, A. (2018) Nonparametric statistical downscaling for the fusion of data of different spatiotemporal support. [Data Collection]

This list was generated on Fri May 24 07:09:28 2024 BST.