- M.R.P. Parker, Y. Li, L.T. Elliott, J. Ma and L.L.E. Cowen. Under-reporting of COVID-19 in the Northern Health Authority region of British Columbia. 2021. Canadian Journal of Statistics. 49(4). p1018-38
- J.E. Stockdale, R. Doig, J. Min, N. Mulberry, L. Wang, L.T. Elliott and C. Colijn. Long time frames to detect the impact of changing COVID-19 measures, Canada, March to July 2020. 2021. Eurosurveillance. 26(4). Appendices
- W. Chen and L.T. Elliott. Compression for population genetic data through finite-state entropy. 2021. Journal of Bioinformatics and Computational Biology. 19(5). Appendices
- S. Wang, S. Ge, C. Colijn, P. Biller, L. Wang and L.T. Elliott. Estimating genetic similarity matrices using phylogenies. 2021. Journal of Computational Biology. 28(6). p587–600
- C. Wang, A.B. Martins-Bach, F. Alfaro-Almagro, G. Douaud, J.C. Klein, A. Llera, C. Fiscone, R. Bowtell, L.T. Elliott, S.M. Smith, B.C. Tendler and K.L. Miller. Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging. 2021. biorxiv preprint 10.1101/2021.06.28.450248
- S.M. Smith, G. Douaud, W. Chen, T. Hanayik, F. Alfaro-Almagro, K. Sharp and L.T. Elliott. An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank. 2021. Nature Neuroscience. 24(5). p737-45. Data
- L. Wang, J. Min, R. Doig, L.T. Elliott and C. Colijn. Estimation of SARS-CoV-2 antibody prevalence through integration of serology and incidence data. 2021. medrxiv preprint 10.1101/2021.03.27.21254471
- L.T. Elliott. Kinship solutions for partially observed multiphenotype data. 2020. Journal of Computational Biology. 27(9). p1461-70. Code & Appendices
- N.J. Armstrong et al. Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities. 2020. Stroke. 51(7). p2111-21
- S.M. Smith, L.T. Elliott, F. Alfaro-Almagro, P. McCarthy, T.E. Nichols, G. Douaud and K.L. Miller. Brain aging comprises many modes of structural and functional change with distinct genetic and biophysical associations. 2020. eLife. doi:10.7554/eLife.52677. Code & Data
- S. Ge, S. Wang, Y.W. Teh, L. Wang and L.T. Elliott. Random tessellation forests. 2019. Proceedings of the 33rd Conference on Neural Information Processing Systems. Code & Appendices
- J. Mollink, S.M. Smith, L.T. Elliott, M. Kleinnijenhuis, M. Hiemstra, F. Alfaro-Almagro, J. Marchini, A.-M. van Cappellen van Walsum, S. Jbabdi and K.L. Miller. The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure. 2019. Nature Neuroscience. 22(5). p809-19
- L.T. Elliott, M. De Iorio, S. Favaro, K. Adhikari and Y.W. Teh. Modeling population structure under hierarchical Dirichlet processes. 2019. Bayesian Analysis. 14(2). p313-39. Code
- L.T. Elliott, K. Sharp, F. Alfaro-Almagro, S. Shi, K.L. Miller, G. Douaud, J. Marchini and S.M. Smith. Genome-wide association studies of brain imaging phenotypes in UK Biobank. 2018. Nature. 562(7726). p210-6. Data
- C. Bycroft, C. Freeman, D. Petkova, G. Band, L.T. Elliott, K. Sharp, A. Motyer, D. Vukcevic, O. Delaneau, J. O’Connell, A. Cortes, S. Welsh, A. Young, M. Effingham, G. McVean, S. Leslie, N. Allen, P. Donnelly and J. Marchini. The UK Biobank resource with deep phenotyping and genomic data. 2018. Nature. 562(7726). p203-9
