Publications (Computational Biology and Bioinformatics) | Department of Statistics - University of Oxford

Publications by Computational Biology and Bioinformatics

Mijoule, G. et al. (2023) “Stein’s density method for multivariate continuous distributions”, Electronic Journal of Probability, 28(none).

McCabe, R. et al. (2023) “Alternative epidemic indicators for COVID-19: a model-based assessment of COVID-19 mortality ascertainment in three settings with incomplete death registration systems”, medRxiv.

Spoendlin, F. et al. (2023) “Improved computational epitope profiling using structural models identifies a broader diversity of antibodies that bind the same epitope”, bioRxiv.

Watson, L. et al. (2023) “Improving estimates of epidemiological quantities by combining reported cases with wastewater data: a statistical framework with applications to COVID-19 in Aotearoa New Zealand”, medRxiv.

Atchison, C. et al. (2023) “LONG-TERM PHYSICAL AND MENTAL HEALTH IMPACT OF COVID-19 ON ADULTS IN ENGLAND: FOLLOW UP OF A LARGE RANDOM COMMUNITY SAMPLE”, medRxiv.

Penn, M. et al. (2023) “The uncertainty of infectious disease outbreaks is underestimated”, Research Square.

Mills, C. et al. (2023) “Strategic use of SARS-CoV-2 wastewater concentration data could enhance, but not replace, high-resolution community prevalence survey programmes”, medRxiv.

McCabe, R. and Donnelly, C. (2023) “Public awareness of and opinions on the use of mathematical transmission modelling to inform public health policy in the United Kingdom”, medRxiv.

Raybould, M. et al. (2023) “Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling”, bioRxiv.

Hu, S. et al. (2023) “Leveraging fine-scale population structure reveals conservation in genetic effect sizes between human populations across a range of human phenotypes”, bioRxiv.