Projects per year
Personal profile
Research interests
My research is in methods for data with spatial and temporal structure. In particular, I am interested in applications in public health and medicine and in computation for latent Gaussian models.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Statistics, Doctor of Philosophy, University of Washington
Award Date: 30 Jun 2014
External positions
Senior Research Associate, Lancaster University
Jun 2014 → Jun 2016
Keywords
- Statistics
- Biostatistics
- Spatial Epidemiology
- Bayesian Inference
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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“Super Rehab”: Can we achieve coronary artery disease regression in metabolic patients? (a feasibility study)
National Institute for Health Research
1/01/22 → 30/09/24
Project: Central government, health and local authorities
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Royal Society Short Industry Fellowship with Mayden- DYNAMIC PREDICTION OF COMPETING RISKS IN ELECTRONIC PATIENT RECORDS SYSTEMS
1/10/21 → 31/07/22
Project: Research council
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(GCRF) Bringing statistical and data science capacity building to Mongolia
Faraway, J., Kyprianou, A. & Smith, T.
Engineering and Physical Sciences Research Council
12/07/21 → 31/03/22
Project: Research council
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UKRI GCRF/Newton Fund : Building an Early Warning System for community-wide infectious disease spread: SARS-CoV-2 tracking in Africa via environment fingerprinting- COVID-19
Kasprzyk-Hordern, B., Faraway, J., Feil, E., Smith, T., Ehrhardt, B. & Gibbon, M.
Engineering and Physical Sciences Research Council
14/08/20 → 31/03/22
Project: Research council
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EDGE
Kasprzyk-Hordern, B., Adams, B., Barnett, J., Di Lorenzo, M., Estrela, P., Faraway, J., Feil, E., Kjeldsen, T., Metcalfe, B., Smith, T., Stanton Fraser, D. & Wilson, P.
Engineering and Physical Sciences Research Council
1/05/20 → 31/10/21
Project: Research council
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Penalized smoothing splines resolve the curvature identifiability problem in age-period-cohort models with unequal intervals
Gascoigne, C. & Smith, T., 12 Mar 2023, (E-pub ahead of print) In: Statistics in medicine.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Downloads (Pure) -
Variational Tobit Gaussian Process Regression
Basson, M., Louw, T. & Smith, T., 31 Mar 2023, In: Statistics and Computing. 33, 3, 26 p., 64.Research output: Contribution to journal › Article › peer-review
Open Access -
Challenges in realising the potential of wastewater-based epidemiology to quantitatively monitor and predict the spread of disease
Faraway, J., Boxall-Clasby, J., Feil, E., Gibbon, M., Hatfield, O., Kasprzyk-Hordern, B. & Smith, T., 1 Jul 2022, In: Journal of Water and Health. 20, 7, p. 1038-1050 13 p., jwh2022020.Research output: Contribution to journal › Article › peer-review
Open Access8 Citations (SciVal) -
The roles of intolerance of uncertainty, anxiety sensitivity and distress tolerance in hoarding disorder compared with OCD and healthy controls
Hillman, S. R., Lomax, C. L., Khaleel, N., Smith, T. R. & Gregory, J. D., 31 Jul 2022, In: Behavioural and Cognitive Psychotherapy. 50, 4, p. 392-403Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (SciVal)36 Downloads (Pure) -
Using Bayesian Networks to identify musculoskeletal symptoms influencing the risk of developing Psoriatic Arthritis in people with psoriasis
PROMPT Study Group, 2 Feb 2022, In: Rheumatology (Oxford, England). 61, 2, p. 581-590 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (SciVal)10 Downloads (Pure)
Datasets
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Code and Dataset for Thesis "Bayesian Analysis of Spatial Log-Gaussian Cox Processes"
Khaleel, N. (Creator) & Smith, T. (Supervisor), University of Bath, 26 Sept 2022
DOI: 10.15125/BATH-01133
Dataset