Publications (Statistical Genetics and Epidemiology) | Department of Statistics

Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Penn, M. et al. (2025) “Bayesian inference of phylogenetic distances: revisiting the eigenvalue approach”, Bulletin of Mathematical Biology, 87(2).

Hayes, S. et al. (2025) “Understanding reservoirs of multi-host pathogens: a One Health approach to rabies in Tanzania”, One Health Cases [Preprint].

Atchison, C. et al. (2025) “Strategies to increase response rate and reduce non-response bias in population health research: a series of randomised controlled trials during a large COVID-19 study”, JMIR Public Health and Surveillance, 11.

Loya, H. et al. (2025) “A scalable variational inference approach for increased mixed-model association power”, Nature Genetics, 57(2), pp. 461–468.

Voller, C. et al. (2025) “Can biosecurity on farms reduce bovine tuberculosis risks in cattle in England? a review of observational and literature-based evidence”, Veterinary Record, 196(1).

Steyn, N. et al. (2025) “Bayesian modelling of repeated cross-sectional epidemic prevalence survey data”, medRxiv.

Milne, G. et al. (2025) “Climate-driven rodent infection dynamics align with Lassa fever seasonality in humans”, medRxiv.

Wang, Z. and Holmes, C. (2025) “On Subjective Uncertainty Quantification and Calibration in Natural Language Generation”, in Proceedings of Machine Learning Research, pp. 3799–3807.

Mills, C. et al. (2025) “The time- and space-varying roles of human mobility in shaping urban dengue epidemics”, medRxiv.

Fawkes, J. et al. (2025) “Is Merging Worth It? Securely Evaluating the Information Gain for Causal Dataset Acquisition”, in Proceedings of Machine Learning Research, pp. 1423–1431.