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.

Jacob, P. et al. (no date) “Better together? Statistical learning in models made of modules.”

Augustin, D. et al. (no date) “Treatment response prediction: Is model selection unreliable?”, bioRxiv.

Mellan, T. et al. (no date) “Subnational analysis of the COVID-19 epidemic in Brazil”, medRxiv.

Elliott, P. et al. (no date) “REACT-1 round 13 final report: exponential growth, high prevalence of SARS-CoV-2 and vaccine effectiveness associated with Delta variant in England during May to July 2021”, medRxiv.

Dorigatti, I. et al. (no date) “International risk of yellow fever spread from the ongoing outbreak in Brazil”, bioRxiv.

Penn, M. et al. (no date) “Bayesian inference of phylogenetic distances: revisiting the eigenvalue approach”, bioRxiv.

Holmes, C. and Mallick, B. (no date) “Bayesian wavelet networks for nonparametric regression”, IEEE Transactions on Neural Networks, 11(1), pp. 27–35.

Eales, O. et al. (no date) “Trends in SARS-CoV-2 infection prevalence during England’s roadmap out of lockdown, January to July 2021”, medRxiv.

Penn, M. et al. (no date) “Sherlock - A flexible, low-resource tool for processing camera-trapping images”, bioRxiv.

Riley, S. et al. (no date) “REACT-1 round 9 interim report: downward trend of SARS-CoV-2 in England in February 2021 but still at high prevalence”, medRxiv.