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.

Bhatia, G. et al. (2011) “Genome-wide Comparison of African-Ancestry Populations from CARe and Other Cohorts Reveals Signals of Natural Selection”, American Journal of Human Genetics, 89(3), pp. 368–381.
Nassab, R. et al. (2011) “Online Marketing Strategies of Plastic Surgeons and Clinics: A Comparative Study of the United Kingdom and the United States”, Aesthetic Surgery Journal, 31(5), pp. 566–571.
Jasra, A. and Holmes, C. (2011) “Stochastic boosting algorithms”, Statistics and Computing, 21(3), pp. 335–347.
Hinch, A. et al. (2011) “The landscape of recombination in African Americans.”, Nature, 476(7359), pp. 170–175.
Yau, C. and Holmes, C. (2011) “Hierarchical Bayesian nonparametric mixture models for clustering with variable relevance determination”, Bayesian Analysis, 6(2), pp. 329–351.
Held, L. and Holmes, C. (2011) “Response to van der Lans”, Bayesian Analysis, 6(2).
Holmes, C. and Held, L. (2011) “Response to van der Lans”, Bayesian Analysis, 6(2), pp. 357–358.
Pasaniuc, B. et al. (2011) “Enhanced statistical tests for GWAS in admixed populations: assessment using African Americans from CARe and a Breast Cancer Consortium.”, PLoS genetics, 7(4).
Ciampa, J., Holmes, C. and Chatterjee, N. (2011) “Abstract 2747: Application of a novel multi-locus test for genetic association incorporating gene-gene interaction suggests functionality for multiple susceptibility loci for prostate cancer”, Cancer Research, 71(8_Supplement), pp. 2747–2747.
Ciampa, J. et al. (2011) “Application of a Novel Score Test for Genetic Association Incorporating Gene-Gene Interaction Suggests Functionality for Prostate Cancer Susceptibility Regions”, Human Heredity, 72(3), pp. 182–193.