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.

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.

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.

Ter-Minassian, L. et al. (2025) “Hierarchical Bias-Driven Stratification for Interpretable Causal Effect Estimation”, in Proceedings of Machine Learning Research, pp. 1900–1908.

Parag, K. et al. (2025) “Asymmetric limits on timely interventions from noisy epidemic data”, medRxiv.