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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.

Lavezzo, E. et al. (2021) “Author Correction: Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’”, Nature, 590(7844), pp. e11 - e11.
Franco, D. et al. (2021) “Early Transmission Dynamics, Spread, and Genomic Characterization of SARS-CoV-2 in Panama - Volume 27, Number 2—February 2021 - Emerging Infectious Diseases journal - CDC”, Emerging Infectious Diseases, 27(2), pp. 612–615.
Riley, S. et al. (2021) “REACT-1 round 8 final report: high average prevalence with regional heterogeneity of trends in SARS-CoV-2 infection in the community in England during January 2021”, p. 2021.01.28.21250606.
Riley, S. et al. (2021) “REACT-1 round 8 interim report: SARS-CoV-2 prevalence during the initial stages of the third national lockdown in England”, p. 2021.01.20.21250158.
Lyons, J. et al. (2021) “Protocol for the development of the Wales Multimorbidity e-Cohort (WMC): data sources and methods to construct a population-based research platform to investigate multimorbidity”, BMJ Open, 11(1).
Lehmann, B. et al. (2021) “Optimal strategies for learning multi-ancestry polygenic scores vary across traits”, pp. 2021.01.15.426781 – 2021.01.15.426781.
Payne, A. et al. (2021) “Burns Management at A UK Major Trauma Centre During The COVID-19 Lockdown”, in BRITISH JOURNAL OF SURGERY.
Zhu, X. et al. (2021) “Identification of Underlying Disease Domains by Longitudinal Latent Factor Analysis for Secukinumab Treated Patients in Psoriatic Arthritis and Rheumatoid Arthritis Trials”, in ARTHRITIS & RHEUMATOLOGY, pp. 2516–2518.
Lees, R. et al. (2021) “REVIEWING THE EVIDENCE FOR AND AGAINST SELECTION OF SPECIFIC PYRETHROIDS FOR PROGRAMMATIC PURPOSES”, in AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE, pp. 432–432.
Ghalebikesabi, S. et al. (2021) “Deep Generative Missingness Pattern-Set Mixture Models”, in Proceedings of Machine Learning Research, pp. 3727–3735.