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stat.ME2021
Optimal design of dynamic experiments for scalar-on-function linear models with application to a biopharmaceutical study
Damianos Michaelides, Maria Adamou, David C. Woods +1
A Bayesian optimal experimental design framework is developed for experiments where settings of one or more variables, referred to as profile variables, can be functions. For this…
stat.AP2021
Statistical methods used to combine the effective reproduction number, R(t), and other related measures of COVID-19 in the UK
T. Maishman, S. Schaap, D. S. Silk +3
In the recent COVID-19 pandemic, a wide range of epidemiological modelling approaches have been used to predict the effective reproduction number, R(t), and other COVID-19 related…