Export 1668 results:
2013
Shirani, A. et al., 2013. Interferon beta and long-term disability in multiple sclerosis. JAMA Neurology, 70, pp.651-652.
Shirani, A. et al., 2013. Interferon beta and long-term disability in multiple sclerosis. JAMA neurology, 70, pp.651–653.
Hua, L. & Joe, H., 2013. Intermediate tail dependence: a review and some new results. In H. Li & Li, X. , eds. Stochastic Orders in Reliability and Risk. Stochastic Orders in Reliability and Risk. New York: Springer, pp. 291-311.
Luo, H., Burstyn, I. & Gustafson, P., 2013. Investigations of Gene-Disease Associations: Costs and Benefits of Environmental Data. Epidemiology, 24, pp.562–568.
Homrighausen, D. & McDonald, D.J., 2013. The lasso, persistence, and cross-validation. In S. Dasgupta & McAllester, D. , eds. Proceedings of the Thirtieth International Conference on Machine Learning (ICML). Proceedings of the Thirtieth International Conference on Machine Learning (ICML). PMLR, pp. 1031–1039. Available at: http://proceedings.mlr.press/v28/homrighausen13.html.
Woolcott, C.G. et al., 2013. Longitudinal changes in IGF-I and IGFBP-3, and mammographic density among postmenopausal women. Cancer Epidemiol. Biomarkers Prev., 22, pp.2116–2120.
Zou, W. & Chen, J., 2013. A Markov regime-switching model for crude-oil markets: Comparison of composite likelihood and full likelihood. Canadian Journal of Statistics, 41, pp.353–367.
Rosco, J.F. & Joe, H., 2013. Measures of tail asymmetry for bivariate copulas. Statistical Papers, 54, pp.709-726.
Chen, J. & Li, P., 2013. MixtureInf-package. Inference for Finite Mixture Models, p.2.
Campbell, T., Johnson, L. & How, J.P., 2013. Multiagent allocation of Markov decision process tasks. In American Control Conference. American Control Conference.
Meyers, S.M. et al., 2013. Multicenter measurements of myelin water fraction and geometric mean T2: Intra-and intersite reproducibility. Journal of Magnetic Resonance Imaging, 38, pp.1445–1453.
Wang, T. & WU, L.A.N.G., 2013. Multivariate one-sided tests for nonlinear mixed-effects models. Canadian Journal of Statistics, 41, pp.453–465. Available at: http://onlinelibrary.wiley.com/doi/10.1002/cjs.11180/abstract.
Freue, G.V.Cohen, Ortiz-Molina, H. & Zamar, R.H., 2013. A natural robustification of the ordinary instrumental variables estimator. Biometrics, 69, pp.641–650.
Freue, G.V.Cohen, Ortiz-Molina, H. & Zamar, R.H., 2013. A Natural Robustification of the Ordinary Instrumental Variables Estimator. BIOMETRICS, 69, pp.641-650.
Bouchard-Côté, A., 2013. A note on probabilistic models over strings: the linear algebra approach. Bulletin of Mathematical Biology, 75, pp.2529–2550.
Chen, J., 2013. A partial order on uncertainty and information. Journal of Theoretical Probability, 26, pp.349–359.
Heckman, N., Lockhart, R. & Nielsen, J.D., 2013. Penalized regression, mixed effects models and appropriate modelling. ELECTRONIC JOURNAL OF STATISTICS, 7, pp.1517-1552.
Lin, D.* et al., 2013. Plasma protein biosignatures for detection of cardiac allograft vasculopathy. The Journal of Heart and Lung Transplantation, 32, pp.723–733.*Equal contributors.
Hollander, Z. et al., 2013. Predicting acute cardiac rejection from donor heart and pre-transplant recipient blood gene expression. JOURNAL OF HEART AND LUNG TRANSPLANTATION, 32, pp.259-265.

Pages