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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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  • 1 Similar Profiles
Age-period-cohort Models Mathematics
Spatial Statistics Mathematics
Incidence Mathematics
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 2021

Research Output 2015 2019

2 Citations (Scopus)
11 Downloads (Pure)
Open Access
Raynaud Disease
Systemic Scleroderma
1 Citation (Scopus)

Factors influencing Raynaud condition score diary outcomes in systemic sclerosis

Pauling, J. D., Reilly, E., Smith, T. & Frech, T. M., 1 Oct 2019, In : The Journal of Rheumatology. 46, 10, p. 1326-1334 10 p.

Research output: Contribution to journalArticle

13 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