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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.

Watson, J. and Holmes, C. (2020) “Correction to: Graphing and reporting heterogeneous treatment effects through reference classes”, Trials, 21(1), p. 865.
Watson, J. and Holmes, C. (2020) “Graphing and reporting heterogeneous treatment effects through reference classes”, Trials, 21(1), p. 386.
Parag, K. et al. (2020) “An exact method for quantifying the reliability of end-of-epidemic declarations in real time”, PLOS Computational Biology, 16(11), p. e1008478.
Lambert, B., Gavaghan, D. and Tavener, S. (2020) “A Monte Carlo method to estimate cell population heterogeneity from cell snapshot data”, Journal of Theoretical Biology, 511.
Nait Saada, J. et al. (2020) “Identity-by-descent detection across 487,409 British samples reveals fine-scale population structure, evolutionary history, and trait associations”, Nature Communications, 11.
Parag, K., Cowling, B. and Donnelly, C. (2020) “Deciphering early-warning signals of SARS-CoV-2 elimination and resurgence from limited data at multiple scales”, p. 2020.11.23.20236968.
Riley, S. et al. (2020) “REACT-1 round 6 updated report: high prevalence of SARS-CoV-2 swab positivity with reduced rate of growth in England at the start of November 2020”, p. 2020.11.18.20233932.
Amimo, F. et al. (2020) “Plasmodium falciparum resistance to sulfadoxine-pyrimethamine in Africa: A systematic analysis of national trends”, BMJ Global Health, 5(11).
Creswell, R. et al. (2020) “Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models”, arXiv.
Kist, N. et al. (2020) “HIV-1 p24Gag adaptation to modern and archaic HLA-allele frequency differences in ethnic groups contributes to viral subtype diversification”, Virus Evolution, 6(2).