Zobrazeno 1 - 10
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pro vyhledávání: '"Tom, Brian A."'
It is of scientific interest to identify essential biomarkers in biological processes underlying diseases to facilitate precision medicine. Factor analysis (FA) has long been used to address this goal: by assuming latent biological pathways drive the
Externí odkaz:
http://arxiv.org/abs/2408.08771
Identifying patient subgroups with different treatment responses is an important task to inform medical recommendations, guidelines, and the design of future clinical trials. Existing approaches for subgroup analysis primarily rely on Randomised Cont
Externí odkaz:
http://arxiv.org/abs/2408.03463
The increasing availability of high-dimensional, longitudinal measures of gene expression can facilitate understanding of biological mechanisms, as required for precision medicine. Biological knowledge suggests that it may be best to describe complex
Externí odkaz:
http://arxiv.org/abs/2307.02781
Autor:
Yang, Youqi, Dempsey, Walter, Han, Peisong, Deshmukh, Yashwant, Richardson, Sylvia, Tom, Brian, Mukherjee, Bhramar
Selection bias poses a challenge to statistical inference validity in non-probability surveys. This study compared estimates of the first-dose COVID-19 vaccination rates among Indian adults in 2021 from a large non-probability survey, COVID-19 Trends
Externí odkaz:
http://arxiv.org/abs/2306.14940
Time-to-event modelling, known as survival analysis, differs from standard regression as it addresses censoring in patients who do not experience the event of interest. Despite competitive performances in tackling this problem, machine learning metho
Externí odkaz:
http://arxiv.org/abs/2305.06703
Precision medicine is an emerging field that takes into account individual heterogeneity to inform better clinical practice. In clinical trials, the evaluation of treatment effect heterogeneity is an important component, and recently, many statistica
Externí odkaz:
http://arxiv.org/abs/2302.11647
Personalized medicine has gained much popularity recently as a way of providing better healthcare by tailoring treatments to suit individuals. Our research, motivated by the UK INTERVAL blood donation trial, focuses on estimating the optimal individu
Externí odkaz:
http://arxiv.org/abs/2302.11638
Machine learning risks reinforcing biases present in data, and, as we argue in this work, in what is absent from data. In healthcare, biases have marked medical history, leading to unequal care affecting marginalised groups. Patterns in missing data
Externí odkaz:
http://arxiv.org/abs/2208.06648
Autor:
Jeanselme, Vincent, Martin, Glen, Peek, Niels, Sperrin, Matthew, Tom, Brian, Barrett, Jessica
Observational data in medicine arise as a result of the complex interaction between patients and the healthcare system. The sampling process is often highly irregular and itself constitutes an informative process. When using such data to develop pred
Externí odkaz:
http://arxiv.org/abs/2205.13481
Autor:
Jackson, Christopher, Tom, Brian, Kirwan, Peter, Mandal, Sema, Seaman, Shaun, Kunzmann, Kevin, Presanis, Anne, De Angelis, Daniela
Publikováno v:
Statistical Methods in Medical Research (2022)
We compare two multi-state modelling frameworks that can be used to represent dates of events following hospital admission for people infected during an epidemic. The methods are applied to data from people admitted to hospital with COVID-19, to esti
Externí odkaz:
http://arxiv.org/abs/2203.13210