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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.

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].
Miles, V. et al. (2024) “Evaluating camera‐based methods for estimating badger ( Meles meles ) density: Implications for wildlife management”, Ecological Solutions and Evidence, 5(3).
Smith, D. et al. (2024) “Health and economic impacts of Lassa vaccination campaigns in West Africa”, Nature Medicine, 30(12).
Mills, C., Woodroffe, R. and Donnelly, C. (2024) “An extensive re-evaluation of evidence and analyses of the Randomised Badger Culling Trial II: In neighbouring areas”, Royal Society Open Science, 11(8).
Mills, C., Woodroffe, R. and Donnelly, C. (2024) “An extensive re-evaluation of evidence and analyses of the Randomised Badger Culling Trial (RBCT) I: Within proactive culling areas”, Royal Society Open Science, 11(8).
Shi, S. et al. (2024) “A Genomics England haplotype reference panel and imputation of UK Biobank”, Nature Genetics, 56(9), pp. 1800–1803.
Shi, S. et al. (2024) “A Genomics England haplotype reference panel and imputation of UK Biobank”, Nature Genetics, 56(9), pp. 1800–1803.
Woodroffe, R. et al. (2024) “Farmer-led badger vaccination in Cornwall: epidemiological patterns and social perspectives”, People and Nature, 6(5), pp. 1960–1973.
Woodroffe, R. et al. (2024) “Farmer‐led badger vaccination in Cornwall: Epidemiological patterns and social perspectives”, People and Nature [Preprint].