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Outputs (11)

Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis (2024)
Journal Article
Scott, J., White, A., Walsh, C., Aslett, L., Rutherford, M. A., Ng, J., …Little, M. A. (2024). Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis. RMD Open, 10(2), Article e003962. https://doi.org/10.1136/rmdopen-2023-003962

Objective: ANCA-associated vasculitis (AAV) is a relapsing-remitting disease, resulting in incremental tissue injury. The gold-standard relapse definition (Birmingham Vasculitis Activity Score, BVAS>0) is often missing or inaccurate in registry setti... Read More about Computable phenotype for real-world, data-driven retrospective identification of relapse in ANCA-associated vasculitis.

kalis: a modern implementation of the Li & Stephens model for local ancestry inference in R (2024)
Journal Article
Aslett, L. J. M., & Christ, R. R. (2024). kalis: a modern implementation of the Li & Stephens model for local ancestry inference in R. BMC Bioinformatics, 25(1), Article 86. https://doi.org/10.1186/s12859-024-05688-8

Background: Approximating the recent phylogeny of N phased haplotypes at a set of variants along the genome is a core problem in modern population genomics and central to performing genome-wide screens for association, selection, introgression, and o... Read More about kalis: a modern implementation of the Li & Stephens model for local ancestry inference in R.

Data quality and patient characteristics in European ANCA-associated vasculitis registries: data retrieval by federated querying (2023)
Journal Article
Gisslander, K., Rutherford, M., Aslett, L., Basu, N., Dradin, F., Hederman, L., …Mohammad, A. J. (2023). Data quality and patient characteristics in European ANCA-associated vasculitis registries: data retrieval by federated querying. Annals of the Rheumatic Diseases, https://doi.org/10.1136/ard-2023-224571

Objectives This study aims to describe the data structure and harmonisation process, explore data quality and define characteristics, treatment, and outcomes of patients across six federated antineutrophil cytoplasmic antibody-associated vasculitis (... Read More about Data quality and patient characteristics in European ANCA-associated vasculitis registries: data retrieval by federated querying.

The association between ambient UVB dose and ANCA-associated vasculitis relapse and onset (2022)
Journal Article
Scott, J., Havyarimana, E., Navarro-Gallinad, A., White, A., Wyse, J., van Geffen, J., …and UKIVAS groups, R. (2022). The association between ambient UVB dose and ANCA-associated vasculitis relapse and onset. Arthritis Research and Therapy, 24(1), Article 147. https://doi.org/10.1186/s13075-022-02834-6

Background: The aetiology of ANCA-associated vasculitis (AAV) and triggers of relapse are poorly understood. Vitamin D (vitD) is an important immunomodulator, potentially responsible for the observed latitudinal differences between granulomatous and... Read More about The association between ambient UVB dose and ANCA-associated vasculitis relapse and onset.

Modelling of modular battery systems under cell capacity variation and degradation (2020)
Journal Article
Rogers, D. J., Aslett, L. J., & Troffaes, M. C. (2021). Modelling of modular battery systems under cell capacity variation and degradation. Applied Energy, 43, Article 116360. https://doi.org/10.1016/j.apenergy.2020.116360

We propose a simple statistical model of electrochemical cell degradation based on the general characteristics observed in previous large-scale experimental studies of cell degradation. This model is used to statistically explore the behaviour and li... Read More about Modelling of modular battery systems under cell capacity variation and degradation.

Reliability analysis of general phased mission systems with a new survival signature (2019)
Journal Article
Huang, X., Aslett, L. J., & Coolen, F. P. (2019). Reliability analysis of general phased mission systems with a new survival signature. Reliability Engineering & System Safety, 189, 416-422. https://doi.org/10.1016/j.ress.2019.04.019

It is often difficult for a phased mission system (PMS) to be highly reliable, because this entails achieving high reliability in every phase of operation. Consequently, reliability analysis of such systems is of critical importance. However, efficie... Read More about Reliability analysis of general phased mission systems with a new survival signature.

Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants (2018)
Journal Article
Willetts, M., Hollowell, S., Aslett, L., Holmes, C., & Doherty, A. (2018). Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants. Scientific Reports, 8(1), Article 7961. https://doi.org/10.1038/s41598-018-26174-1

Current public health guidelines on physical activity and sleep duration are limited by a reliance on subjective self-reported evidence. Using data from simple wrist-worn activity monitors, we developed a tailored machine learning model, using balanc... Read More about Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants.

Multilevel Monte Carlo for Reliability Theory (2017)
Journal Article
Aslett, L., Nagapetyan, T., & Vollmer, S. (2017). Multilevel Monte Carlo for Reliability Theory. Reliability Engineering & System Safety, 165, 188-196. https://doi.org/10.1016/j.ress.2017.03.003

As the size of engineered systems grows, problems in reliability theory can become computationally challenging, often due to the combinatorial growth in the number of cut sets. In this paper we demonstrate how Multilevel Monte Carlo (MLMC) — a simula... Read More about Multilevel Monte Carlo for Reliability Theory.

Bayesian nonparametric system reliability using sets of priors (2016)
Journal Article
Walter, G., Aslett, L., & Coolen, F. (2017). Bayesian nonparametric system reliability using sets of priors. International Journal of Approximate Reasoning: Uncertainty in Intelligent Systems, 80(1), 67-88. https://doi.org/10.1016/j.ijar.2016.08.005

An imprecise Bayesian nonparametric approach to system reliability with multiple types of components is developed. This allows modelling partial or imperfect prior knowledge on component failure distributions in a flexible way through bounds on the f... Read More about Bayesian nonparametric system reliability using sets of priors.