PhD Research Programme in Statistics

University of Bath, UK

c.gascoigne@bath.ac.uk

+44 1225 385632 (Extension: 5632)

**Research Interests**

- Statistics in population health
- Spatial and spatio-temporal dependence
- Bayesian methods

**Teaching**

University of Bath, 2018-

University of Leicester, 2016-2018

- First year Introductory Statistics, Probability, Linear Algebra and Calculus and Analysis

My research is on modelling spatio-temporal health outcomes with age-period-cohort models for which I am supervised by Dr Theresa Smith. I am currently using my research to model health and demographic outcomes, in particular under-five mortality, in low and middle income context. I conduct this work in collaboration with Professor Jon Wakefiled from the University of Washington.

I completed my MMath undergraduated degree at the University of Leicester. My final year masters project was titled "Confrontational properties of polymers studied by functional integrals and Monte Carlo methods" for which I was supervised by Professor Nikolai Brilliantov.

- Gascoigne, C., Smith, T.R., (2021) Using smoothing splines to resolve the curvature identifiability problem in age-period-cohort models with unequal intervals.
*Preprint* - Paradezhenko, G.V., Gascoigne, C., Brilliantov, N.B., (2020) Gaussian polymer chains in harmonic potential: the path integral approach.
*Journal of Physics A: Mathematical and Theoretical* - Jones, A., Ehsanullah, S. A., Birring, A., Gascoigne, C., Singh, S., Ginepri, A., & Apakama, I. (2018). Transurethral Resection of Prostate (TURP): Surgery without Using a 3-Way Catheter.
*Journal of Endoluminal Endourology*

**University of Washington, November 2021**- To conduct under-five mortality research work in collaboration with Professor Jon Wakefiled and his working group.