Publications (Statistical Theory and Methodology) Publications Falck, F. et al. (2024) “A framework for longitudinal latent factor modelling of treatment response in clinical trials with applications to Psoriatic Arthritis and Rheumatoid Arthritis”, Journal of Biomedical Informatics, 154. Goldberg, C. et al. (2024) “To do no harm — and the most good — with AI in health care”, Nature Medicine, 30(3), pp. 623–627. Hampshire, A. et al. (2024) “Cognition and Memory after Covid-19 in a Large Community Sample”, New England Journal of Medicine, 390(9), pp. 806–818. Liu, X. et al. (2024) “Directrices para presentación de informes de ensayos clínicos sobre intervenciones con inteligencia artificial: extensión CONSORT-AI”, BULL PAN AM HEALTH ORGAN, 48, pp. e13 - e13-. Alfano, C. et al. (2024) “Learning mirror maps in policy mirror descent”, arXiv. Coppock, H. et al. (2024) “Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers”, Nature Machine Intelligence, 6(2), pp. 229–242. Coppock, H. et al. (2024) “Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers”, Nature Machine Intelligence, 6(2), pp. 229–242. Rivera, L. et al. (2024) “Clinical and epidemiological characteristics of Madariaga and Venezuelan equine encephalitis virus infections”, pp. 2024.02.02.24302220 – 2024.02.02.24302220. Fong, E., Holmes, C. and Walker, S. (2024) “Martingale posterior distributions”, Journal of the Royal Statistical Society Series B (Statistical Methodology), 85(5), pp. 1357–1391. Fong, E., Holmes, C. and Walker, S. (2024) “Authors’ reply to the Discussion of ‘Martingale Posterior Distributions’”, Journal of the Royal Statistical Society Series B (Statistical Methodology), 85(5), pp. 1413–1416. Pagination First page First Previous page ‹ … Page 9 Page 10 Page 11 Page 12 Page 13 Page 14 Page 15 Page 16 Page 17 … Next page › Last page Last