Publications (Statistical Theory and Methodology) Publications 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. Venkatesh, S. et al. (2023) “The genetic architecture of changes in adiposity during adulthood”, medRxiv. Venkatesh, S. et al. (2023) “The genetic architecture of changes in adiposity during adulthood”, medRxiv. 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. McCabe, R. et al. (2023) “Inferring community transmission of SARS-CoV-2 in the United Kingdom using the ONS COVID-19 Infection Survey”, medRxiv. Miao, N. et al. (2023) “Learning Instance-Specific Augmentations by Capturing Local Invariances”, in Proceedings of Machine Learning Research, pp. 24720–24736. Hayes, S. et al. (2023) “Modelling hepatitis C infection acquired from blood transfusions in the UK between 1970 and 1991 for the Infected Blood Inquiry”, medRxiv. Pagination First page First Previous page ‹ … Page 18 Page 19 Page 20 Page 21 Page 22 Page 23 Page 24 Page 25 Page 26 … Next page › Last page Last