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2011
Hughes-Oliver, J.M. et al., 2011. ChemModLab: A web-based cheminformatics modeling laboratory. In silico biology, 11, pp.61–81. Available at: http://content.iospress.com/articles/in-silico-biology/ci000016.
Gustafson, P., 2011. Comment on `Transparent parameterizations of models for potential outcomes,' by Richardson, Evans, and Robins. In J. M. Bernardo et al., eds. Bayesian Statistics 9: Proceedings of the Ninth Valencia International Meeting. Bayesian Statistics 9: Proceedings of the Ninth Valencia International Meeting. Oxford University Press.
Guo, J. et al., 2011. A CONSERVED BIOGENESIS NETWORK FOR YEAST YOR1-Delta F AND CFTR-Delta F. In PEDIATRIC PULMONOLOGY. PEDIATRIC PULMONOLOGY. WILEY-BLACKWELL COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA, pp. 277–277.
Joe, H., 2011. Dependence comparisons of vine copulae in four or more variables. In D. Kurowicka & Joe, H. , eds. Dependence Modeling: Vine Copula Handbook. Dependence Modeling: Vine Copula Handbook. Singapore: World Scientific, pp. 139–164.
Kurowicka, D. & Joe, H., 2011. Dependence Modeling: Vine Copula Handbook, Singapore: World Scientific. Available at: http://www.worldscibooks.com/economics/7699.html.
Bouchard-Côté, A. & Zidek, J.V., 2011. Discussion: Bayesian priors for loss matching. International Statistical Review, 80, pp.83–86.
Shen, H., Welch, W.J. & Hughes-Oliver, J.M., 2011. Efficient, adaptive cross-validation for tuning and comparing models, with application to drug discovery. The Annals of Applied Statistics, pp.2668–2687. Available at: http://www.jstor.org/stable/23069346.
Liu, Z., Le, N.D. & Zidek, J.V., 2011. An empirical assessment of bayesian melding for mapping ozone pollution. Environmetrics, 22, pp.340–353.
Baser, M.E. et al., 2011. Empirical development of improved diagnostic criteria for neurofibromatosis 2. Genetics in Medicine, 13, pp.576-581.
McDonald, D.J., Shalizi, C.R. & Schervish, M., 2011. Estimating beta-mixing coefficients. In G. Gordon, Dunson, D. , & Dudík, M. , eds. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS). Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics (AISTATS). PMLR, pp. 516–524. Available at: http://proceedings.mlr.press/v15/mcdonald11a.html.
Khalili, A., Chen, J. & Lin, S., 2011. Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space. Biostatistics, 12, pp.156–172.
Reingold, S.C., McFarland, H.F. & Petkau, A.J., 2011. The growing need for alternative clinical trial designs for multiple sclerosis. In Multiple Sclerosis Therapeutics. Multiple Sclerosis Therapeutics. Cambridge: Cambridge University Press, pp. 253-260.
Domanski, D. et al., 2011. High-flow multiplexed MRM-based analysis of proteins in human plasma without depletion or enrichment. Clinics in laboratory medicine, 31, pp.371–384.
Fujiwara, T. et al., 2011. Infant distress at five weeks of age and caregiver frustration. J. Pediatr., 159, pp.425–430.
Hartung, H.-P. et al., 2011. Interferon β-1b–neutralizing antibodies 5 years after clinically isolated syndrome. Neurology, 77, pp.835–843.

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