Publications

Liley, J. et al. (2024) “Development and assessment of a machine learning tool for predicting emergency admission in Scotland”, npj Digital Medicine, 7(1).

Buna, A. and Rebeschini, P. (2024) “Robust Gradient Descent for Phase Retrieval”, arXiv.

Pigoli, D. et al. (2024) “Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID‐19”, Statistics in Medicine [Preprint].

Pigoli, D. et al. (2024) “Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID‐19”, Statistics in Medicine [Preprint].

Domingo, E. et al. (2024) “Identification and validation of a machine learning model of complete response to radiation in rectal cancer reveals immune infiltrate and TGFβ as key predictors”, EBioMedicine, 106, p. 105228.

Naulet, Z., Rousseau, J. and Caron, F. (2024) “Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification”, Bernoulli, 30(4), pp. 2644–2675.

Bajaj, S. et al. (2024) “Understanding COVID-19 testing behaviour in England through a sociodemographic lens: a population based study”, Lancet Digital Health [Preprint].

Venkatesh, S. et al. (2024) “Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records”, Nature Communications, 15(1).

Venkatesh, S. et al. (2024) “Characterising the genetic architecture of changes in adiposity during adulthood using electronic health records”, Nature Communications, 15(1).

Budd, J. et al. (2024) “A large-scale and PCR-referenced vocal audio dataset for COVID-19”, Scientific Data, 11(1).