Professor John Aston

Publications

Estimating maximal symmetries of regression functions via subgroup lattices

LG Christie, JAD Aston

– Journal of the Royal Statistical Society Series B: Statistical Methodology

(2025)

87,

1576

(doi: 10.1093/jrsssb/qkaf031)

Evidence Communication Rules for Policy (ECR-P) critical appraisal tool.

E Danopoulos, JAD Aston, A Shah, CR Schneider

– Syst Rev

(2025)

14,

(doi: 10.1186/s13643-025-02757-8)

Measuring the Unmeasurable: Estimating True Population of Hidden Online Communities

J Gibbon, T Marjanov, A Hutchings, J Aston

– 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&amp;PW)

(2024)

(doi: 10.1109/EuroSPW61312.2024.00014)

Measuring the Unmeasurable: Estimating True Population of Hidden Online Communities

J Gibbon, T Marjanov, A Hutchings, J Aston

(2024)

(doi: 10.17863/CAM.108740)

Recent methodological advances in federated learning for healthcare

F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, BloodCounts! consortium, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts

– Patterns (New York, N.Y.)

(2024)

101006

(doi: 10.1016/j.patter.2024.101006)

Recent Methodological Advances in Federated Learning for Healthcare

F Zhang, D Kreuter, Y Chen, S Dittmer, S Tull, T Shadbahr, B Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb, N Gleadall, M Roberts

(2023)

(doi: 10.48550/arxiv.2310.02874)

The Impact of Imputation Quality on Machine Learning Classifier Performance for Datasets with Missing Values

T Shadbahr, M Roberts, J Stanczuk, J Gilbey, P Teare, S Dittmer, M Thorpe, RV Torné, E Sala, P Lió, M Patel, J Preller, AIX-COVNET Collaboration, JHF Rudd, T Mirtti, AS Rannikko, JAD Aston, J Tang, C-B Schönlieb

– Communications medicine

(2023)

139

(doi: 10.1038/s43856-023-00356-z)

Effectiveness of international border control measures during the COVID-19 pandemic: a narrative synthesis of published systematic reviews

KA Grépin, J Aston, J Burns

– Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences

(2023)

381,

20230134

(doi: 10.1098/rsta.2023.0134)

Common methodological pitfalls in ICI pneumonitis risk prediction studies.