Xia, M. & Gustafson, P., 2012. A Bayesian method for estimating prevalence in the presence of a hidden sub-population. Statistics in Medicine, 31, pp.2386–2398.

Bouchard-Côté, A. & Kirkpatrick, B., 2012. Bayesian pedigree analysis using measure factorization. In Advances in Neural Information Processing Systems 25 (NIPS). Advances in Neural Information Processing Systems 25 (NIPS). pp. 2906–2914.

Gustafson, P., 2012. On the behaviour of Bayesian credible intervals in partially identified models. Electronic Journal of Statistics, 6, pp.2107-2124. Available at: projecteuclid.org/euclid.ejs/1351865119.

Joe, H., 2012. Book Review of ``Inequalities: Theory of Majorization and Its Applications, by AW Marshall, I. Olkin and BC Arnold, Springer". Probability in the Engineering and Informational Sciences, 26, pp.449–453.

Zidek, J.V., Le, N.D. & Liu, Z., 2012. Combining data and simulated data for space–time fields: application to ozone. Environmental and ecological statistics, 19, pp.37–56.

Mostafavi, S. & Morris, Q., 2012. Combining many interaction networks to predict gene function and analyze gene lists. PROTEOMICS, 12, pp.1687-1696.

Norman, W.V. et al., 2012. Comparing the effectiveness of copper intrauterine devices available in Canada. Is FlexiT non-inferior to NovaT when inserted immediately after first-trimester abortion? Study protocol for a randomized controlled trial. Trials, 13, p.147.

Günther, O.P. et al., 2012. A computational pipeline for the development of multi-marker bio-signature panels and ensemble classifiers. BMC bioinformatics, 13, p.1.

Chen, H., Chen, J. & Chen, S.-Y., 2012. Confidence intervals for the mean of a population containing many zero values under unequal probability sampling 511: Y. Quality Control and Applied Statistics, 57, p.77.

van Eeden, C. & Zidek, J.V., 2012. Contemporary Developments in Bayesian Analysis and Statistical Decision Theory: A Festschrift for William E. Strawderman. In M. D. E. Forurndrinier & Rukhin, A. L. , eds. Institute of Mathematical Statistics Collections, pp. 131-153.

Parker, R. et al., 2012. Correlation of proteome-wide changes with social immunity behaviors provides insight into resistance to the parasitic mite, Varroa destructor, in the honey bee (Apis mellifera). Genome Biol, 13, pp.R81–2012.

Liu, J. & Gustafson, P., 2012. On the detectability of different forms of interaction in regression models. Metrika, 75, pp.347–365.

Gustafson, P., 2012. Double-robust estimators: Slightly more Bayesian than meets the eye?. International Journal of Biostatistics, 8, p.issue 2, article 4.

Gustafson, P., 2012. Double-robust estimators: slightly more Bayesian than meets the eye?. The international journal of biostatistics, 8, pp.1–15.

Bornn, L. & Zidek, J.V., 2012. Efficient stabilization of crop yield prediction in the Canadian Prairies. Agricultural and forest meteorology, 152, pp.223–232.

Jun, S.-H., Wang, L. & Bouchard-Côté, A., 2012. Entangled Monte Carlo. In Advances in Neural Information Processing Systems 25 (NIPS). Advances in Neural Information Processing Systems 25 (NIPS). pp. 2735–2743.

Chen, J. & Chen, Z., 2012. Extended BIC for small-n-large-P sparse GLM. Statistica Sinica, 22, p.555.

McDonald, D.J., 2012. Generalization error bounds for state-space models. Carnegie Mellon University.

Stinchcombe, J.R. et al., 2012. Genetics and evolution of function-valued traits: understanding environmentally responsive phenotypes. Trends Ecol. Evol. (Amst.), 27, pp.637–647.

Wang, L. & Bouchard-Côté, A., 2012. Harnessing Non-Local Evolutionary Events for Tree Inference. In Society for Molecular Biology and Evolution. Society for Molecular Biology and Evolution.

Yuan, Y., Chipman, H.A. & Welch, W.J., 2012. Harvesting Classification Trees for Drug Discovery. Journal of chemical information and modeling, 52, pp.3169–3180. Available at: http://pubs.acs.org/doi/abs/10.1021/ci3000216.

Noh, M., WU, L.A.N.G. & Lee, Y., 2012. Hierarchical likelihood methods for nonlinear and generalized linear mixed models with missing data and measurement errors in covariates. Journal of Multivariate Analysis, 109, pp.42–51. Available at: http://www.sciencedirect.com/science/article/pii/S0047259X12000528.

McCandless, L.C. et al., 2012. Hierarchical priors for bias parameters in Bayesian sensitivity analysis for unmeasured confounding. Statistics in Medicine, 31, pp.383–396.

Park, Y. & Bader, J.S., 2012. How networks change with time. Bioinformatics, 28, pp.i40–8.

Daniels, J.P. et al., 2012. Identification by families of pediatric adverse events and near misses overlooked by health care providers. CMAJ, 184, pp.29–34.