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.

Nash, R. et al. (2021) “Systematic review of the entomological impact of insecticide-treated nets evaluated using experimental hut trials in Africa”, Current Research in Parasitology and Vector-Borne Diseases, 1.

Ghalebikesabi, S. et al. (2021) “Deep Generative Missingness Pattern-Set Mixture Models”, in Proceedings of Machine Learning Research, pp. 3727–3735.

Cooper, B. et al. (2021) “The burden and dynamics of hospital-acquired SARS-CoV-2 in England”, Research Square.

Hillis, S. et al. (2021) “Under the Radar: Global Minimum Estimates for COVID-19-Associated Orphanhood and Deaths Among Caregivers During 2020”, SSRN Electronic Journal.

Unwin, H. et al. (2021) “More than 5.2 Million Children Affected by Global Surges in COVID-Associated Orphanhood and Caregiver Death: New Evidence for National Responses”, SSRN Electronic Journal.

Verity, R. et al. (2021) “COVID-19 and the difficulty of inferring epidemiological parameters from clinical data – Authors’ reply”, The Lancet Infectious Diseases, 21(1), p. 28.

Fu, H. et al. (2021) “Database of epidemic trends and control measures during the first wave of COVID-19 in mainland China”, International Journal of Infectious Diseases, 102, pp. 463–471.

Ghalebikesabi, S. et al. (2021) “On Locality of Local Explanation Models”, in Advances in Neural Information Processing Systems, pp. 18395–18407.

Willetts, M. et al. (2021) “IMPROVING VAES’ ROBUSTNESS TO ADVERSARIAL ATTACK”, in ICLR 2021 - 9th International Conference on Learning Representations.

Payne, A. et al. (2021) “Burns Management at A UK Major Trauma Centre During The COVID-19 Lockdown”, in BRITISH JOURNAL OF SURGERY.