Research

Research

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  1. Department of Statistics
  2. Research
  3. Publications by Department Members

Publications by Department Members

2012

Wang D, Shen T, Gustafson P. Partial Identification arising from Nondifferential Exposure Misclassification: How Informative are Data on the Unlikely, Maybe, and Likely Exposed?. International Journal of Biostatistics [Internet]. 2012; 8: issue 1, article 31. DOI: 10.1515/1557-4679.1397 URL: http://www.degruyter.com/view/j/ijb.2012.8.issue-1/1557-4679.1397/1557-4679.1397.xml?format=INT
Wang D, Shen T, Gustafson P. Partial identification arising from nondifferential exposure misclassification: how informative are data on the unlikely, maybe, and likely exposed?. The international journal of biostatistics. 2012; 8. DOI: 10.1515/1557-4679.1397
Wood S, Ross S, Tang S, Miller L, Sauve R, Brant R. Vaginal progesterone to prevent preterm birth in multiple pregnancy: a randomized controlled trial. J Perinat Med. 2012; 40: 593–599.
Xia M, Gustafson P. A Bayesian method for estimating prevalence in the presence of a hidden sub-population. Statistics in Medicine. Wiley Online Library; 2012; 31: 2386–2398. DOI: 10.1002/sim.5374
Yuan Y, Chipman HA, Welch WJ. Harvesting Classification Trees for Drug Discovery. Journal of chemical information and modeling [Internet]. 2012; 52: 3169–3180. URL: http://pubs.acs.org/doi/abs/10.1021/ci3000216
ZHAI YONGLIANG, Heckman N, LUM CONROY, PIRVU CIPRIAN, WU LANG, Zidek JV. A review of dynamic duration of load models for lumber strength. Vancouver, BC: Department of Statistics, University of British Columbia; 2012.
ZHAI YONGLIANG, Heckman N, LUM CONROY, PIRVU CIPRIAN, WU LANG, Zidek JV. Stochastic models for the effects of duration of load on lumber properties. Vancouver, BC: Department of Statistics, University of British Columbia; 2012.
Zhang L, Poh CF, Williams M, Laronde DM, Berean K, Gardner PJ, et al. Loss of Heterozygosity (LOH) Profiles—Validated Risk Predictors for Progression to Oral Cancer. Cancer Prevention Research [Internet]. 2012; 5: 1081–1089. DOI: 10.1158/1940-6207.CAPR-12-0173 URL: http://cancerpreventionresearch.aacrjournals.org/content/5/9/1081
Zidek JV, Le ND, Liu Z. Combining data and simulated data for space–time fields: application to ozone. Environmental and ecological statistics. Springer; 2012; 19: 37–56.
Zidek JV, Shaddick G. Unbiasing estimates from preferentially sampled spatial data. Relatorio Technico. 2012; 268.

2011

S Ahmed E, Song PXK, Zhu M, Alquier P, Beran R, Chen J, et al. International Workshop on Perspectives on High-dimensional Data Analysis. International Workshop on Perspectives on High-dimensional Data Analysis. 2011;.
Alimadad A, Salibian-Barrera M. An Outlier-Robust Fit for Generalized Additive Models With Applications to Disease Outbreak Detection. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2011; 106: 719-731. DOI: 10.1198/jasa.2011.tm09654 Software: https://github.com/msalibian/rgam
Baser ME, Friedman JM, Joe H, Shenton A, Wallace AJ, Ramsden RT, et al. Empirical development of improved diagnostic criteria for neurofibromatosis 2. Genetics in Medicine. Nature Publishing Group; 2011; 13: 576-581. DOI: 10.1097/GIM.0b013e318211faa9
Bouchard-Côté A, Zidek JV. Discussion: Bayesian priors for loss matching. International Statistical Review. 2011; 80: 83–86.
Brotto LA, Basson R, Petkau AJ, Labrie F. Predictors of sexual desire disorders in women. The Journal of Sexual Medicine. 2011; 8: 742–753. DOI: 10.1111/j.1743-6109.2010.02146.x
Cadigan NG, Chen J. Kernel regression estimators for non parametric model calibration in survey sampling. Quality control and applied statistics. Executive Sciences Institute; 2011; 56: 59–60.
Carrillo IA, Chen J, Wu C. A pseudo-GEE approach to analyzing longitudinal surveys under imputation for missing responses. Journal of Official Statistics. 2011; 27: 255.
Chen J. Advances in EM-test for Finite Mixture Models. International Workshop on Perspectives on High-dimensional Data Analysis. 2011;.
Chen J, Li P. The Limiting Distribution of the EM Test of the Order of a Finite Mixture. Mixtures: Estimation and Applications. John Wiley & Sons, Ltd; 2011;: 55–75.
Chen J, Li P. Tuning the EM-test for finite mixture models. Canadian Journal of Statistics. John Wiley & Sons, Inc.; 2011; 39: 389–404.
Cooke RM, Joe H, Aas K. Vines arise. In: Kurowicka D, Joe H. Dependence Modeling: Vine Copula Handbook. Singapore: World Scientific Publishing Company; 2011. pp. 37–71. DOI: 10.1142/9789814299886_0003
Cooke RM, Kousky C, Joe H. Micro correlations and tail dependence. In: Kurowicka D, Joe H. Dependence Modeling: Vine Copula Handbook. Singapore: World Scientific; 2011. pp. 89–112. DOI: 10.1142/9789814299886_0005
Dean G, Cao YG, Xiang DQ, Provart NJ, Ramsay L, Ahad A, et al. Analysis of gene expression patterns during seed coat development in Arabidopsis. Molecular plant. Elsevier; 2011; 4: 1074–1091.
Domanski D, Smith DS, Miller CA, Yang Y, Jackson AM, Freue GCohen, et al. High-flow multiplexed MRM-based analysis of proteins in human plasma without depletion or enrichment. Clinics in laboratory medicine. Elsevier; 2011; 31: 371–384.
El-Shaarawi AH, Zhu R, Joe H. Modelling species abundance using the Poisson-Tweedie family. Environmetrics. Wiley-Blackwell; 2011; 22: 152-164. DOI: 10.1002/env.1036
Espino-Hernandez G, Gustafson P, Burstyn I. Bayesian adjustment for measurement error in continuous exposures in an individually matched case-control study. BMC Medical Research Methodology [Internet]. BioMed Central Ltd; 2011; 11: 67. DOI: 10.1186/1471-2288-11-67 URL: http://www.biomedcentral.com/1471-2288/11/6
Friedenreich CM, Woolcott CG, McTiernan A, Terry T, Brant R, Ballard-Barbash R, et al. Adiposity changes after a 1-year aerobic exercise intervention among postmenopausal women: a randomized controlled trial. Int J Obes (Lond). 2011; 35: 427–435.
Friedenreich CM, Neilson HK, Woolcott CG, Wang Q, Yasui Y, Brant RF, et al. Mediators and moderators of the effects of a year-long exercise intervention on endogenous sex hormones in postmenopausal women. Cancer Causes Control. 2011; 22: 1365–1373.
Friedenreich CM, Neilson HK, Woolcott CG, McTiernan A, Wang Q, Ballard-Barbash R, et al. Changes in insulin resistance indicators, IGFs, and adipokines in a year-long trial of aerobic exercise in postmenopausal women. Endocr. Relat. Cancer. 2011; 18: 357–369.
Fujiwara T, Barr RG, Brant R, Barr M. Infant distress at five weeks of age and caregiver frustration. J. Pediatr. 2011; 159: 425–430.
Goldenberg A, Mostafavi S, Quon G, Boutros PC, Morris QD. Unsupervised detection of genes of influence in lung cancer using biological networks. BIOINFORMATICS. GREAT CLARENDON ST, OXFORD OX2 6DP, ENGLAND: OXFORD UNIV PRESS; 2011; 27: 3166-3172. DOI: 10.1093/bioinformatics/btr533
Guo J, Louie R, Rodgers JW, White R, Hong J, Sorscher EJ, et al. A CONSERVED BIOGENESIS NETWORK FOR YEAST YOR1-Delta F AND CFTR-Delta F. In PEDIATRIC PULMONOLOGY. WILEY-BLACKWELL COMMERCE PLACE, 350 MAIN ST, MALDEN 02148, MA USA; 2011. pp. 277–277.
Gustafson P, Burstyn I. "Bayesian inference of gene-environment interaction from incomplete data: What happens when information on environment is disjoint from data on gene and disease?. Statistics in Medicine [Internet]. 2011; 30: 877-889. DOI: 10.1002/sim.4176 URL: http://onlinelibrary.wiley.com/doi/10.1002/sim.4176/abstract
Gustafson P. Discussion of" Bayesian local influence for survival models," by Ibrahim, Zhu, and Tang. Lifetime data analysis. Springer Science & Business Media; 2011; 17: 71. DOI: 10.1007/s10985-010-9173-x
Gustafson P. Comment on `Transparent parameterizations of models for potential outcomes,' by Richardson, Evans, and Robins. In: Bernardo JM, Bayarri MJ, Berger JO, Dawid AP, Heckerman D, Smith AFM, et al. Bayesian Statistics 9: Proceedings of the Ninth Valencia International Meeting. Oxford University Press; 2011.
Hartung H-P, Freedman MS, Polman CH, Edan G, Kappos L, Miller DH, et al. Interferon β-1b–neutralizing antibodies 5 years after clinically isolated syndrome. Neurology. AAN Enterprises; 2011; 77: 835–843.
Hartung H-P, Freedman MS, Polman CH, Edan G, Kappos L, Miller DH, et al. Interferon β-1b–neutralizing antibodies 5 years after clinically isolated syndrome. Neurology [Internet]. 2011; 77: 835–843. DOI: 10.1212/WNL.0b013e31822c90d7 URL: http://www.neurology.org/content/77/9/835
Heydari B, Leipsic J, Mancini GB, Min JK, Labounty T, Taylor C, et al. Diagnostic performance of high-definition coronary computed tomography angiography performed with multiple radiation dose reduction strategies. Can J Cardiol. 2011; 27: 606–612.
Holsti L, Oberlander TF, Brant R. Does breastfeeding reduce acute procedural pain in preterm infants in the neonatal intensive care unit? A randomized clinical trial. Pain. 2011; 152: 2575–2581.
Hossain S, Gustafson P. Assessing large sample bias in misspecified model scenarios with reference to exposure model misspecification in errors-in-variable regression: A new computational approach. Journal of Statistical Planning and Inference. Elsevier; 2011; 141: 1161–1169. DOI: 10.1016/j.jspi.2010.09.017
Hua L, Joe H. Second order regular variation and conditional tail expectation of multiple risks. Insurance Mathematics & Economics. Elsevier Science BV; 2011; 49: 537-546. DOI: 10.1016/j.insmatheco.2011.08.013
Hua L, Joe H. Tail order and intermediate tail dependence of multivariate copulas. Journal of Multivariate Analysis. Elsevier Inc; 2011; 102: 1454-1471. DOI: 10.1016/j.jmva.2011.05.011
Huang Y, Dagne G, WU LANG. Bayesian inference on joint models of HIV dynamics for time-to-event and longitudinal data with skewness and covariate measurement errors. Statistics in Medicine [Internet]. 2011; 30: 2930–2946. DOI: 10.1002/sim.4321 URL: http://onlinelibrary.wiley.com/doi/10.1002/sim.4321/abstract
Hughes-Oliver JM, Brooks AD, Welch WJ, Khaledi MG, Hawkins D, S. Young S, et al. ChemModLab: A web-based cheminformatics modeling laboratory. In silico biology [Internet]. 2011; 11: 61–81. URL: http://content.iospress.com/articles/in-silico-biology/ci000016
Joe H. Dependence comparisons of vine copulae in four or more variables. In: Kurowicka D, Joe H. Dependence Modeling: Vine Copula Handbook. Singapore: World Scientific; 2011. pp. 139–164. DOI: 10.1142/9789814299886_0007
Joe H. Tail dependence in vine copulae. In: Kurowicka D, Joe H. Dependence Modeling: Vine Copula Handbook. Singapore: World Scientific; 2011. pp. 165–187. DOI: 10.1142/9789814299886_0008
Joe H, Li H. Tail risk of multivariate regular variation. Methodology and Computing in Applied Probability. Springer; 2011; 13: 671-693. DOI: 10.1007/s11009-010-9183-x
Joe H, Cooke RM, Kurowicka D. Regular vines: generation algorithm and number of equivalence classes. In: Kurowicka D, Joe H. Dependence Modeling: Vine Copula Handbook. Singapore: World Scientific; 2011. pp. 219–231. DOI: 10.1142/9789814299886_0010
Kennedy MA, Kabbani N, Lambert JP, Swayne LA, Ahmed F, Figeys D, et al. Srf1 is a novel regulator of phospholipase D activity and is essential to buffer the toxic effects of C16:0 platelet activating factor. PLoS Genet. 2011; 7: e1001299.
Khalili A, Chen J, Lin S. Feature selection in finite mixture of sparse normal linear models in high-dimensional feature space. Biostatistics. Oxford University Press; 2011; 12: 156–172.

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