25 citations · 29 across the 3 of their papers we have counts for
4 papers
Clinical characteristics, complications and outcomes of critically ill patients with Dengue in Brazil, 2012-2024: a nationwide, multicentre cohort study
Igor Tona Peres, Otavio T. Ranzani, Leonardo S. L. Bastos +4
Background. Dengue outbreaks are a major public health issue, with Brazil reporting 71% of global cases in 2024. Purpose. This study aims to describe the profile of severe dengue p…
Bayesian model selection for multilevel models using integrated likelihoods
Tom Edinburgh, Ari Ercole, Stephen J. Eglen
Multilevel linear models allow flexible statistical modelling of complex data with different levels of stratification. Identifying the most appropriate model from the large set of…
Causality indices for bivariate time series data: a comparative review of performance
Tom Edinburgh, Stephen J. Eglen, Ari Ercole
Inferring nonlinear and asymmetric causal relationships between multivariate longitudinal data is a challenging task with wide-ranging application areas including clinical medicine…
DeepClean -- self-supervised artefact rejection for intensive care waveform data using deep generative learning
Tom Edinburgh, Peter Smielewski, Marek Czosnyka +2
Waveform physiological data is important in the treatment of critically ill patients in the intensive care unit. Such recordings are susceptible to artefacts, which must be removed…