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Outputs (18)

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.

Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers (2021)
Book Chapter
Aslett, L. J. (2022). Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers. In L. J. Aslett, F. P. Coolen, & J. De Bock (Eds.), Uncertainty in Engineering (15-35). Springer. https://doi.org/10.1007/978-3-030-83640-5_2

Models which are constructed to represent the uncertainty arising in engineered systems can often be quite complex to ensure they provide a reasonably faithful reflection of the real-world system. As a result, even computation of simple expectations,... Read More about Sampling from Complex Probability Distributions: A Monte Carlo Primer for Engineers.

Uncertainty in Engineering - Introduction to Methods and Applications (2021)
Book
Aslett, L., Coolen, F., & De Bock, J. (Eds.). (2022). Uncertainty in Engineering - Introduction to Methods and Applications. Springer Verlag. https://doi.org/10.1007/978-3-030-83640-5

This open access book provides an introduction to uncertainty quantification in engineering. Starting with preliminaries on Bayesian statistics and Monte Carlo methods, followed by material on imprecise probabilities, it then focuses on reliability th... Read More about Uncertainty in Engineering - Introduction to Methods and Applications.

Model updating after interventions paradoxically introduces bias (2021)
Conference Proceeding
Liley, J., Emerson, S., Mateen, B., Vallejos, C., Aslett, L., & Vollmer, S. (in press). Model updating after interventions paradoxically introduces bias. In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (3916-3924)

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.

Encrypted accelerated least squares regression (2017)
Conference Proceeding
Esperança, P., Aslett, L., & Holmes, C. (2017). Encrypted accelerated least squares regression. In A. Singh, & J. Zhu (Eds.), Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, PMLR 54 (334-343)

Information that is stored in an encrypted format is, by definition, usually not amenable to statistical analysis or machine learning methods. In this paper we present detailed analysis of coordinate and accelerated gradient descent algorithms which... Read More about Encrypted accelerated least squares regression.

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.

Using Storm for scaleable sequential statistical inference. (2014)
Conference Proceeding
Wilson, S., Mai, T., Cogan, P., Bhattacharya, A., Robles-Sánchez, O., Aslett, L., …Roetzer, G. (2014). Using Storm for scaleable sequential statistical inference. In M. Gilli, G. González-Rodríguez, & A. Nieto-Reyes (Eds.), Proceedings of COMPSTAT 2014: 21st International Conference on Computational Statistics (hosting the 5th IASC World Conference): Geneva, Switzerland, August 19–22, 2014 (103-109)

This article describes Storm, an environment for doing streaming data analysis. Two examples of sequential data analysis — computation of a running summary statistic and sequential updating of a posterior distribution — are implemented and their perf... Read More about Using Storm for scaleable sequential statistical inference..

Bayesian inference for reliability of systems and networks using the survival signature (2014)
Journal Article
Aslett, L., Coolen, F., & Wilson, S. (2015). Bayesian inference for reliability of systems and networks using the survival signature. Risk Analysis, 35(9), 1640-1651. https://doi.org/10.1111/risa.12228

The concept of survival signature has recently been introduced as an alternative to the signature for reliability quantification of systems. While these two concepts are closely related for systems consisting of a single type of component, the surviv... Read More about Bayesian inference for reliability of systems and networks using the survival signature.