Oxford university logo and department of statistics logo

To Department of Statistics Site

 Menu

Publications by Statistical Genetics and Epidemiology

Our research spans areas of statistical genetics, in particular the development of powerful statistical approaches to analyse genetic data, as well as studying infectious diseases.

Liley, J. et al. (2024) “Development and assessment of a machine learning tool for predicting emergency admission in Scotland”, npj Digital Medicine, 7(1).
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, 43(25), pp. 4861–4871.
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, 43(25), pp. 4861–4871.
Shi, S. et al. (2024) “A Genomics England haplotype reference panel and imputation of UK Biobank”, Nature Genetics, 56(9), pp. 1800–1803.
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.
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).
Budd, J. et al. (2024) “A large-scale and PCR-referenced vocal audio dataset for COVID-19”, Scientific Data, 11(1).