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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.

Education/Academic qualification

Statistics, Doctor of Philosophy, University of Washington

External positions

Senior Research Associate, Lancaster University

Jun 2014Jun 2016


  • Statistics
  • Biostatistics
  • Spatial Epidemiology
  • Bayesian Inference

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Age-period-cohort Models Mathematics
Spatial Statistics Mathematics
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Cancer Mathematics
Random Effects Mathematics
Statistics Engineering & Materials Science
Disease Mapping Mathematics
Wishart Distribution Mathematics

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2018 2020

KTP with Mayden House Ltd

Smith, T. & Faraway, J.


Project: UK industry

Research Output 2015 2019

Factors influencing Raynaud’s condition score diary outcomes in systemic sclerosis.

Pauling, J. D., Reilly, E., Smith, T. & Frech, T. M., 1 Mar 2019, In : The Journal of Rheumatology.

Research output: Contribution to journalArticle

Raynaud Disease
Systemic Scleroderma
9 Citations (Scopus)

A review and comparison of age-period-cohort models for cancer incidence

Smith, T. & Wakefield, J., 19 Jan 2017, In : Statistical Science. 31, 4, p. 591-610

Research output: Contribution to journalArticle

Age-period-cohort Models

Ecological Modeling: General Issues

Wakefield, J. C. & Smith, T. R., 4 Apr 2016, Handbook of Spatial Epidemiology. Lawson, A., Banerjee, S., Haining, R. & Ugarte, M. D. (eds.). Boca Raton, U. S. A.: CRC Press, p. 99-118 (Chapman & Hall/CRC Handbooks of Modern Statistical Methods).

Research output: Chapter in Book/Report/Conference proceedingChapter


Generalized Additive Models for Large datasets: spatial-temporal modelling of the UK's Daily Black Smoke (1961 - 2005)

Author: Li, Z., 13 Feb 2019

Supervisor: Shaddick, G. (Supervisor), Smith, T. (Supervisor) & Wood, S. (Supervisor)

Student thesis: Doctoral ThesisPhD