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.

Willetts, M. et al. (2018) “Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants”, Scientific Reports, 8.

Glaire, M. et al. (2018) “Tumour-infiltrating CD8 + lymphocytes as a prognostic marker in colorectal cancer: A retrospective, pooled analysis of the QUASAR2 and VICTOR trials.”, Journal of Clinical Oncology. American Society of Clinical Oncology (ASCO).

Anders, K. et al. (2018) “Cluster-randomized test-negative design trials: A novel and efficient method to assess the efficacy of community-level Dengue interventions”, American Journal of Epidemiology, 187(9), pp. 2021–2028.

Lambert, B. et al. (2018) “The use of driving endonuclease genes to suppress mosquito vectors of malaria in temporally variable environments”, Malaria Journal, 17(1).

Behr, M., Holmes, C. and Munk, A. (2018) “Multiscale blind source separation”, The Annals of Statistics, 46(2), pp. 711–744.

Pafitanis, G., Ghanem, A. and Myers, S. (2018) “‘To Err Is Human…’—Managing Human Error in Reconstructive Microsurgery Training with Defense Barriers”, Plastic & Reconstructive Surgery Global Open, 6(4), p. e1753.

Lambert, B. et al. (2018) “Monitoring the Age of Mosquito Populations Using Near-Infrared Spectroscopy”, Scientific Reports, 8(1), p. 5274.

Bycroft, C. et al. (2018) “Patterns of genetic differentiation and the footprints of historical migrations in the Iberian Peninsula”, Nature Communications [Preprint].

Lambert, B. et al. (2018) “Bayesian inference of agent-based models: a tool for studying kidney branching morphogenesis”, Journal of Mathematical Biology, 76(7), pp. 1673–1697.

Pafitanis, G. et al. (2018) “Pork Belly”, Plastic & Reconstructive Surgery Global Open, 6(2), p. e1674.