Publications (Statistical Theory and Methodology) Publications Behr, M. et al. (2020) “Testing for dependence on tree structures”, Proceedings of the National Academy of Sciences of the United States of America, 117(18), pp. 9787–9792. Banerjee, A. et al. (2020) “Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study”, The Lancet, 395(10238), pp. 1715–1725. Ainslie, K. et al. (2020) “Evidence of initial success for China exiting COVID-19 social distancing policy after achieving containment”, Wellcome Open Research, 5, p. 81. Parag, K. and Donnelly, C. (2020) “Adaptive estimation for epidemic renewal and phylogenetic skyline models”, Systematic Biology, 69(6), pp. 1163–1179. Dean, N. et al. (2020) “Creating a framework for conducting randomized clinical trials during disease outbreaks”, New England Journal of Medicine, 382(14), pp. 1366–1369. Forna, A. et al. (2020) “Spatiotemporal variability in case fatality ratios for the 2013–2016 Ebola epidemic in West Africa”, International Journal of Infectious Diseases, 93, pp. 48–55. Di Benedetto, G., Caron, F. and Teh, Y. (2020) “Non-exchangeable feature allocation models with sublinear growth of the feature sizes”, arXiv. Verity, R. et al. (2020) “Estimates of the severity of coronavirus disease 2019: a model-based analysis”, Lancet Infectious Diseases, 20(6), pp. 669–677. Todeschini, A., Miscouridou, X. and Caron, F. (2020) “Exchangeable random measures for sparse and modular graphs with overlapping communities”, Journal of the Royal Statistical Society Series B: Statistical Methodology, 82(2), pp. 487–520. Djaafara, B. et al. (2020) “A quantitative framework to define the end of an outbreak: application to Ebola Virus Disease”, p. 2020.02.17.20024042. Pagination First page First Previous page ‹ … Page 41 Page 42 Page 43 Page 44 Page 45 Page 46 Page 47 Page 48 Page 49 … Next page › Last page Last