Paszner, B., Petkau, J. & Oger, J., 2000. Impact of antibodies to interferon-β during treatment of multiple sclerosis. In Drug Treatment of Multiple Sclerosis. Drug Treatment of Multiple Sclerosis. Auckland: Adis International, pp. 89–108.

Joe, H., 2000. Inequalities for random utility models, with applications to ranking and subset choice data. Methodology and Computing in Applied Probability, 2, pp.359–372.

Sun, L. et al., 2000. Interpolating Vancouver's daily ambient PM10 field. Environmetrics, 11, pp.651–663.

WU, L.A.N.G. & Permian, M.D., 2000. Lattice conditional independence models for seemingly unrelated regressions. Communications in Statistics - Simulation and Computation, 29, pp.361–384. Available at: http://dx.doi.org/10.1080/03610910008813617.

Gustafson, P., 2000. Local robustness in Bayesian analysis. In Robust Bayesian Analysis. Robust Bayesian Analysis. Springer, pp. 71–88.

Hull, R.D. et al., 2000. Low-molecular-weight heparin prophylaxis using dalteparin extended out-of-hospital vs in-hospital warfarin/out-of-hospital placebo in hip arthroplasty patients: a double-blind, randomized comparison. North American Fragmin Trial Investigators. Arch. Intern. Med., 160, pp.2208–2215.

Hull, R.D. et al., 2000. Low-molecular-weight heparin prophylaxis using dalteparin in close proximity to surgery vs warfarin in hip arthroplasty patients: a double-blind, randomized comparison. The North American Fragmin Trial Investigators. Arch. Intern. Med., 160, pp.2199–2207.

Hull, R.D. et al., 2000. Low-molecular-weight heparin vs heparin in the treatment of patients with pulmonary embolism. American-Canadian Thrombosis Study Group. Arch. Intern. Med., 160, pp.229–236.

Cree, M. et al., 2000. Mortality and institutionalization following hip fracture. J Am Geriatr Soc, 48, pp.283–288.

Joe, H. & Ma, C., 2000. Multivariate survival functions with a min-stable property. Journal of Multivariate Analysis, 75, pp.13-35.

Chen, J. & Shao, J., 2000. Nearest neighbor imputation for survey data. JOURNAL OF OFFICIAL STATISTICS-STOCKHOLM-, 16, pp.113–132.

Gustafson, P., Le, N.D. & Vallée, M., 2000. Parametric Bayesian analysis of case-control data with imprecise exposure measurements. Statistics & probability letters, 47, pp.357–363.

Heckman, N.E. & Ramsay, J.O., 2000. Penalized regression with model-based penalties. Canadian Journal of Statistics, 28, pp.241–258. Available at: http://onlinelibrary.wiley.com/doi/10.2307/3315976/abstract.

Heckman, N.E. & Ramsay, J.O., 2000. Penalized regression with model-based penalties. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE, 28, pp.241-258.

Wood, S.L. et al., 2000. Prediabetes and perinatal mortality. Diabetes Care, 23, pp.1752–1754.

Ghali, W.A. et al., 2000. Prognostic significance of diabetes as a predictor of survival after cardiac catheterization. APPROACH Investigators. Alberta Provincial Program for Outcome Assessment in Coronary Heart Disease. Am. J. Med., 109, pp.543–548.

Chong, D.J. et al., 2000. The relationship between COMT genotype and the clinical effectiveness of tolcapone, a COMT inhibitor, in patients with Parkinson's disease. Clin Neuropharmacol, 23, pp.143–148.

Hu, F., Rosenberger, W.F. & Zidek, J.V., 2000. Relevance weighted likelihood for dependent data. Metrika, 51, pp.223–243.

York, D.G. et al., 2000. The sloan digital sky survey: Technical summary. The Astronomical Journal, 120, p.1579. Available at: http://iopscience.iop.org/1538-3881/120/3/1579.

WU, L.A.N.G., Reeves, J. & Perlman, M.D., 2000. Some model-restricted shrinkage estimators for contingency tables with missing data. Metrika, 50, pp.221–245. Available at: http://link.springer.com/article/10.1007/s001840050047.

Hall, P. & Heckman, N.E., 2000. Testing for monotonicity of a regression mean by calibrating for linear functions. ANNALS OF STATISTICS, 28, pp.20-39.

Hall, P. & Heckman, N.E., 2000. Testing for monotonicity of a regression mean by calibrating for linear functions. Annals of Statistics, pp.20–39. Available at: http://www.jstor.org/stable/2673980.

WU, L.A.N.G. & Perlman, M.D., 2000. Testing lattice conditional independence models based on monotone missing data. Statistics & Probability Letters, 50, pp.193–201. Available at: http://www.sciencedirect.com/science/article/pii/S0167715200000985.

McMillan, N.J. et al., 1999. Analysis of protein activity data by Gaussian stochastic process models. Journal of Biopharmaceutical Statistics, 9, pp.145–160. Available at: http://www.tandfonline.com/doi/abs/10.1081/BIP-100101005.

Le, N.D., Sun, L. & Zidek, J.V., 1999. Bayesian spatial interpolation and backcasting using Gaussian-generalized inverted Wishart model.