Research

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Publications by Department Members

2009

Zhu H, Zhou H, Chen J, Li Y, Lieberman J, Styner M. Adjusted exponentially tilted likelihood with applications to brain morphology. Biometrics. Blackwell Publishing Inc; 2009; 65: 919–927.
Zhu R, Joe H. Modelling heavy-tailed count data using a generalised Poisson-inverse Gaussian family. Statistics & Probability Letters. Elsevier Science BV; 2009; 79: 1695-1703. DOI: 10.1016/j.spl.2009.04.011

2008

Bouchard-Côté A, Jordan MI, Klein D. Efficient inference in phylogenetic InDel trees. In Advances in Neural Information Processing Systems 21 (NIPS). 2008. pp. 177–184.
Brasher PM, Brant RF. Problems of multiplicity. Can J Anaesth. 2008; 55: 259–261.
Brumm J, Conibear E, Wasserman WW, Bryan J. Discovery and Expansion of Gene Modules by Seeking Isolated Groups in a Random Graph Process. PLOS ONE. 185 BERRY ST, STE 1300, SAN FRANCISCO, CA 94107 USA: PUBLIC LIBRARY SCIENCE; 2008; 3: e3358. DOI: 10.1371/journal.pone.0003358
Chen J, Khalili A. Order selection in finite mixture models with a nonsmooth penalty. Journal of the American Statistical Association. 2008; 103.
Chen J, Variyath AMulayath, Abraham B. Adjusted empirical likelihood and its properties. Journal of Computational and Graphical Statistics. Taylor & Francis; 2008; 17: 426–443.
Chen J, Tan X, Zhang R. Inference for normal mixtures in mean and variance. Statistica Sinica. 2008; 18: 443.
Chen J, Li P, Fu Y. Testing homogeneity in a mixture of von Mises distributions with a structural parameter. Canadian Journal of Statistics. Wiley Online Library; 2008; 36: 129–142.
Chen J, Qin Y. Test for homogeneity in Hardy–Weinberg normal mixture model. Journal of Statistical Planning and Inference. North-Holland; 2008; 138: 3774–3788.
Chen J, Chen Z. Extended Bayesian information criteria for model selection with large model spaces. Biometrika. Biometrika Trust; 2008; 95: 759–771.
Chou E, Lim J, Brant R, Ford S, Ansermino JM. Accuracy of detecting changes in auditory heart rate in a simulated operating room environment. Anaesthesia. 2008; 63: 1181–1186.
DeNero J, Bouchard-Côté A, Klein D. Sampling alignment structure under a Bayesian translation model. In Proceedings of the 2008 Conference on Empirical Methods on Natural Language Processing (EMNLP08). 2008. pp. 314–323.
Ferrari P, Carroll RJ, Gustafson P, Riboli E. A Bayesian multilevel model for estimating the diet/disease relationship in a multicenter study with exposures measured with error: the EPIC study. Statistics in medicine. Wiley Online Library; 2008; 27: 6037–6054. DOI: 10.1002/sim.3444
Fu Y, Chen J, Li P. Modified likelihood ratio test for homogeneity in a mixture of von Mises distributions. Journal of Statistical Planning and Inference. Elsevier; 2008; 138: 667–681.
Ghement IRodica, Ruiz M, Zamar R. Robust estimation of error scale in nonparametric regression models. JOURNAL OF STATISTICAL PLANNING AND INFERENCE. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2008; 138: 3200-3216. DOI: 10.1016/j.jspi.2008.01.005
Goligher EC, Pouchot J, Brant R, Kherani RB, Avina-Zubieta JA, Lacaille D, et al. Minimal clinically important difference for 7 measures of fatigue in patients with systemic lupus erythematosus. J. Rheumatol. 2008; 35: 635–642.
Griswold CK, Gomulkiewicz R, Heckman N. Hypothesis testing in comparative and experimental studies of function-valued traits. EVOLUTION. 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND: BLACKWELL PUBLISHING; 2008; 62: 1229-1242. DOI: 10.1111/j.1558-5646.2008.00340.x
Gustafson P, Lefebvre G. Bayesian multinomial regression with class-specific predictor selection. The Annals of Applied Statistics. JSTOR; 2008;: 1478–1502. DOI: 10.1214/08-aoas188
Joe H. Accuracy of Laplace approximation for discrete response mixed models. Computational Statistics & Data Analysis. Elsevier Science BV; 2008; 52: 5066-5074. DOI: 10.1016/j.csda.2008.05.002
Liu Z, Le N, Zidek JV. Recalibrating ozone chemical transport models. Vancouver, BC: Department of Statistics, University of British Columbia; 2008.
Liu Z, Le ND, Zidek JV. Combining measurements and physical model outputs for the spatial prediction of hourly ozone space-time fields. Vancouver, BC: Department of Statistics, University of British Columbia; 2008.
Liu J, Gustafson P. On Average Predictive Comparisons and Interactions. International Statistical Review. 2008; 76: 419�432. DOI: 10.1111/j.1751-5823.2008.00056.x
Marks VD, Sui SJHo, Erasmus D, van der Merwe GK, Brumm J, Wasserman WW, et al. Dynamics of the yeast transcriptome during wine fermentation reveals a novel fermentation stress response. FEMS YEAST RESEARCH. 9600 GARSINGTON RD, OXFORD OX4 2DQ, OXON, ENGLAND: BLACKWELL PUBLISHING; 2008; 8: 35-52. DOI: 10.1111/j.1567-1364.2007.00338.x
Maydeu-Olivares A, Joe H. An overview of limited information goodness-of-fit testing in multidimensional contingency tables. In: Shigemasu K, Okada A, Imaizumi T, Hoshino T. New Trends in Psychometrics. Universal Academy Press Tokyo, Japan; 2008. pp. 253–262.
McDonald DJ, Thornton DL. Primer on the Mortgage Market and Mortgage Finance. The Federal Reserve Bank of St. Louis Review [Internet]. 2008; 90: 31–46. URL: https://files.stlouisfed.org/files/htdocs/publications/review/08/01/McDonald.pdf
Mostafavi S, Ray D, Warde-Farley D, Grouios C, Morris Q. GeneMANIA: a real-time multiple association network integration algorithm for predicting gene function. GENOME BIOLOGY. 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND: BIOMED CENTRAL LTD; 2008; 9: S4. DOI: 10.1186/gb-2008-9-s1-s4
Pan J, Chen J. U-statistic based modified information criterion for change point problems. Communications in Statistics—Theory and Methods. Taylor & Francis Group; 2008; 37: 2687–2712.
Pena-Castillo L, Tasan M, Myers CL, Lee H, Joshi T, Zhang C, et al. A critical assessment of Mus musculus gene function prediction using integrated genomic evidence. GENOME BIOLOGY. 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND: BIOMED CENTRAL LTD; 2008; 9: S2. DOI: 10.1186/gb-2008-9-s1-s2
Petkau J, Reingold SC, Held U, Cutter GR, Fleming TR, Hughes MD, et al. Magnetic resonance imaging as a surrogate outcome for multiple sclerosis relapses. Multiple Sclerosis [Internet]. 2008; 14: 770-778. DOI: 10.1177/1352458507088104 URL: http://msj.sagepub.com/content/early/2008/06/05/1352458507088104
Pocobelli G, Cook LS, Brant R, Lee SS. Hepatocellular carcinoma incidence trends in Canada: analysis by birth cohort and period of diagnosis. Liver Int. 2008; 28: 1272–1279.
Polman CH, Reingold SC, Barkhof F, Calabresi PA, Clanet M, Cohen JA, et al. Ethics of placebo-controlled clinical trials in multiple sclerosis: a reassessment. Neurology [Internet]. 2008; 70: 1134–1140. DOI: 10.1212/01.wnl.0000306410.84794.4d URL: http://www.neurology.org/content/70/13_Part_2/1134
Pouchot J, Kherani RB, Brant R, Lacaille D, Lehman AJ, Ensworth S, et al. Determination of the minimal clinically important difference for seven fatigue measures in rheumatoid arthritis. J Clin Epidemiol. 2008; 61: 705–713.
Salibian-Barrera M, Wei Y. Weighted quantile regression with nonelliptically structured covariates. CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE. COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA: WILEY-BLACKWELL PUBLISHING, INC; 2008; 36: 595-611.
Salibian-Barrera M, Willems G, Zamar R. The fast-tau estimator for regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2008; 17: 659-682. DOI: 10.1198/106186008X343785
Salibian-Barrera M, Willems G, Zamar R. The fast-tau estimator for regression. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2008; 17: 659-682. DOI: 10.1198/106186008X343785 Software: https://github.com/msalibian/Fast-tau
Salibian-Barrera M, Van Aelst S. Robust model selection using fast and robust bootstrap. COMPUTATIONAL STATISTICS & DATA ANALYSIS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2008; 52: 5121-5135. DOI: 10.1016/j.csda.2008.05.007 Software: https://github.com/msalibian/FRBmodelselection
Salibian-Barrera M, Yohai VJ. High breakdown point robust regression with censored data. ANNALS OF STATISTICS. PO BOX 22718, BEACHWOOD, OH 44122 USA: INST MATHEMATICAL STATISTICS; 2008; 36: 118-146. DOI: 10.1214/009053607000000794
Salibian-Barrera M, Van Aelst S, Willerns G. Fast and robust bootstrap. STATISTICAL METHODS AND APPLICATIONS. TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY: SPRINGER HEIDELBERG; 2008; 17: 41-71. DOI: 10.1007/s10260-007-0048-6 Software: https://github.com/msalibian/FRB
Schluter C, Lam KKY, Brumm J, Wu BW, Saunders M, Stevens TH, et al. Global analysis of yeast endosomal transport identifies the Vps55/68 sorting complex. MOLECULAR BIOLOGY OF THE CELL. 8120 WOODMONT AVE, STE 750, BETHESDA, MD 20814-2755 USA: AMER SOC CELL BIOLOGY; 2008; 19: 1282-1294. DOI: 10.1091/mbc.E07-07-0659
Shaddick G, Lee D, Zidek JV, Salway R. Estimating exposure response functions using ambient pollution concentrations. The Annals of Applied Statistics. Institute of Mathematical Statistics; 2008; 2: 1249–1270.
Van Aelst S, Khan JA, Zamar RH. Fast robust variable selection. In: Brito P. COMPSTAT 2008: PROCEEDINGS IN COMPUTATIONAL STATISTICS. TIERGARTENSTR 17, D-69121 HEIDELBERG, GERMANY: Univ Porto, Fac Econ; PSE; FCT; FEUP; Banco Porutgal; PORTO; SPM; Caixa Geral Depositos; SPE; CLAD; ifcs; 2008. pp. 359-370.
Zhao Y, Traboulsee A, Petkau AJ, Li D. Regression of new gadolinium enhancing lesion activity in relapsing-remitting multiple sclerosis. Neurology. AAN Enterprises; 2008; 70: 1092–1097.

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