Research

Research

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

Publications by Department Members

2016

Huggins J, Campbell T, Broderick T. Coresets for scalable Bayesian logistic regression. In Advances in Neural Information Processing Systems. 2016.
Janmohamed A, Karakochuk CD, Boungnasiri S, Chapman GE, Janssen PA, Brant R, et al. Prenatal supplementation with Corn Soya Blend Plus reduces risk for maternal anemia in late gestation and lowers the preterm birth rate but does not improve maternal weight gain and birth anthropometric measurements in rural Cambodian women: RCT. Am. J. Clin. Nutr. 2016;.
Jensen VL, Carter S, Sanders AAWM, Li C, Kennedy J, Timbers TA, et al. Whole-organism developmental expression profiling identifies RAB-28 as a novel ciliary GTPase associated with the BBSome and intraflagellar transport. PLoS genetics. 2016; 12: e1006469.
Joe H, Sang P. Multivariate models for dependent clusters of variables with conditional independence given aggregation variables. Computational Statistics & Data Analysis. 2016; 97: 114-132. DOI: 10.1016/j.csda.2015.12.001
Jung WHee, Sham A, White R, Kronstad JW. Correction: Iron Regulation of the Major Virulence Factors in the AIDS-Associated Pathogen Cryptococcus neoformans. PLoS Biol. Public Library of Science; 2016; 14: e1002410.
Karim ME, Gustafson P, Petkau J, Tremlett H, Group BAMSStudy. Comparison of statistical approaches for dealing with immortal time bias in drug effectiveness studies. American Journal of Epidemiology. 2016; 184: 325-335. DOI: 10.1093/aje/kwv445
Karim ME, Gustafson P, Petkau J, Tremlett T. Comparison of statistical approaches for dealing with immortal time bias in drug effectiveness studies. American Journal of Epidemiology. 2016; 184: 857-858.
Karim MEhsanul, Gustafson P. Hypothesis Testing for an Exposure–Disease Association in Case–Control Studies Under Nondifferential Exposure Misclassification in the Presence of Validation Data: Bayesian and Frequentist Adjustments. Statistics in Biosciences. Springer; 2016;: 1–19. DOI: 10.1007/s12561-015-9141-9
Karim MEhsanul, Gustafson P, Petkau J, Tremlett H. Comparison of Statistical Approaches for Dealing With Immortal Time Bias in Drug Effectiveness Studies. American Journal of Epidemiology. Oxford University Press; 2016;: kwv445. DOI: 10.1093/aje/kwv445
Kepplinger D, Salibian-Barrera M, Freue GVCohen. Initial estimators for regularized robust methods in high-dimensional settings. In 22nd International Conference on Computational Statistics. 2016.
Khalili A, Chen J, Stephens DA. Regularization in Regime-Switching Gaussian Autoregressive Models. In Advanced Statistical Methods in Data Science. Springer Singapore; 2016. pp. 13–34.
Kondo Y, Salibian-Barrera M, Zamar R. RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm. Journal of Statistical Software [Internet]. 2016; 72: 1–26. DOI: 10.18637/jss.v072.i05 URL: https://www.jstatsoft.org/index.php/jss/article/view/v072i05
Lau K, Salibian-Barrera M, Lampe L. Modulation recognition in the 868 MHz band using classification trees and random forests. {AEU} - International Journal of Electronics and Communications [Internet]. 2016; 70: 1321 - 1328. DOI: 10.1016/j.aeue.2016.07.001 URL: http://www.sciencedirect.com/science/article/pii/S1434841116303430 Software: https://github.com/msalibian/ModulationRecognition
Leung A, Zhang H, Zamar R. Robust regression estimation and inference in the presence of cellwise and casewise contamination. Computational Statistics & Data Analysis. Elsevier; 2016;.
Leung A, Cook LS, Swenerton K, Le ND, Gilks BC, Gallagher RP, et al. Tea, coffee, and caffeinated beverage consumption and risk of epithelial ovarian cancers. Cancer Epidemiology [Internet]. 2016; 45. URL: http://dx.doi.org/10.1016/j.canep.2016.10.010
Liu Y, Zidek JV, Trites A, Battaile B. Bayesian Data Fusion Approaches to Predicting Spatial Tracks: Application to Marine Mammals. Annals of Applied Statistics. 2016;: Accepted.
Liu J, Gustafson P, Huo D. Bayesian adjustment for the misclassification in both dependent and independent variables with application to a breast cancer study. Statistics in Medicine. 2016;. DOI: 10.1002/sim.6996
McConechy MK, Talhouk A, Leung S, Chiu DS, Yang W, Senz J, et al. Endometrial carcinomas with POLE exonuclease domain mutations have a favorable prognosis. Clinical Cancer Research [Internet]. 2016;. DOI: 10.1158/1078-0432.CCR-15-2233 URL: http://clincancerres.aacrjournals.org/content/early/2016/01/13/1078-0432.CCR-15-2233.abstract
McPherson A, others . Divergent modes of clonal spread and intraperitoneal mixing in high-grade serous ovarian cancer. Nature Genetics. 2016; 48: 758–767.
Mostafavi S, Yoshida H, Moodley D, LeBoité H, Rothamel K, Raj T, et al.. Parsing the Interferon Transcriptional Network and Its Disease Associations. Cell. Elsevier; 2016; 164: 564–578.
Ng CT, Joe H. Comparison of non-nested models under a general measure of distance. Journal of Statistical Planning and Inference. Elsevier Science BV; 2016; 170: 166-185. DOI: 10.1016/j.jspi.2015.10.004
Nguyen A-L, Lam J, White R, Carruthers R, Traboulsee A. Prospective study of Retinal Nerve Fibre Layer Thickness in Alemtuzumab Treated Multiple Sclerosis Patients (P3. 083). Neurology. Lippincott Williams & Wilkins; 2016; 86: P3–083.
Rennison DJ, Owens GL, Heckman N, Schluter D, Veen T. Rapid adaptive evolution of colour vision in the threespine stickleback radiation. Proceedings of the Royal Society of London B: Biological Sciences [Internet]. 2016; 283. DOI: 10.1098/rspb.2016.0242 URL: http://rspb.royalsocietypublishing.org/content/283/1830/20160242
Riddell CA, Zhao Y, Petkau J. An adaptive clinical trials procedure for a sensitive subgroup examined in the multiple sclerosis context. Statistical Methods in Medical Research [Internet]. 2016; 25: 1330-1345. DOI: 10.1177/0962280213480576 URL: http://smm.sagepub.com/content/early/2013/04/01/0962280213480576
Roth A, McPherson A, Laks E, Biele J, Yap D, Wan A, et al. Clonal genotype and population structure inference from single-cell tumor sequencing. Nature Methods. 2016; 13: 575–576.
Salibian-Barrera M, Van Aelst S, Yohai VJ. Robust tests for linear regression models based on tau-estimates. COMPUTATIONAL STATISTICS & DATA ANALYSIS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2016; 93: 436-455. DOI: 10.1016/j.csda.2014.09.012 Software: https://github.com/msalibian/tau-tests
Shaddick G, Zidek JV, Liu Y. Mitigating the effects of preferentially selected monitoring sites for environmental policy and health risk analysis. Spatial and Spatio-temporal epidemiology. 2016; 18: 44-52.
Shahriari B, Bouchard-Côté A, de Freitas N. Unbounded Bayesian optimization via regularization. In AISTATS. 2016. pp. 1168–1176.
Shirani A, Zhao Y, Karim ME, Kingwell E, Petkau J, Gustafson P, et al. Observational studies of disease modifying therapies for multiple sclerosis: Methodological challenges and opportunities. British Medical Journal. 2016; 354: i3518.
Surjanovic S. Using computer model uncertainty to inform the design of physical experiments: An application in glaciology. Simon Fraser University; 2016.
Talhouk A, Kommoss S, Mackenzie R, Cheung M, Leung S, Chiu DS, et al. Single-Patient Molecular Testing with NanoString nCounter Data Using a Reference-Based Strategy for Batch Effect Correction. PLoS ONE [Internet]. Public Library of Science; 2016; 11: 1-18. DOI: 10.1371/journal.pone.0153844 URL: http://dx.doi.org/10.1371%2Fjournal.pone.0153844
Tam EW, Chau V, Barkovich AJ, Ferriero DM, Miller SP, Rogers EE, et al. Early postnatal docosahexaenoic acid levels and improved preterm brain development. Pediatr. Res. 2016;.
Timbers TA, Garland SJ, Mohan S, Flibotte S, Edgley M, Muncaster Q, et al. Accelerating gene discovery by phenotyping whole-genome sequenced multi-mutation strains and using the sequence kernel association test (SKAT). PLoS genetics. 2016; 12: e1006235.
Tomal JH, Welch WJ, Zamar RH. Exploiting Multiple Descriptor Sets in QSAR Studies. Journal of chemical information and modeling [Internet]. 2016; 56: 501–509. URL: http://pubs.acs.org/doi/abs/10.1021/acs.jcim.5b00663
Wong SWK, LUM CONROY, WU LANG, Zidek JV. Quantifying Uncertainty in Lumber Grading and Strength Prediction: A Bayesian Approach. Technometrics [Internet]. 2016; 58: 236–243. DOI: 10.1080/00401706.2015.1033108 URL: http://dx.doi.org/10.1080/00401706.2015.1033108
Xia M, Gustafson P. Bayesian regression models adjusting for unidirectional covariate misclassification. Canadian Journal of Statistics. 2016; 44: 198–218. DOI: 10.1002/cjs.11284
Yu X, Chen J, Brant R. Sequential design for binary dose–response experiments. Journal of Statistical Planning and Inference. North-Holland; 2016; 177: 64–73.
Yu X, Chen J, Brant R. Sequential design for binary dose–response experiments. Journal of Statistical Planning and Inference. 2016; 177: 64–73.
Zhai Y, Bouchard-Côté A. Inferring history of human populations using single-nucleotide polymorphism. Annals of Applied Stat. 2016; 10: 2047–2074.
Zhai Y, Bouchard-Côté A. Inferring history of human populations using single-nucleotide polymorphism. Annals of Applied Statistics. 2016; 10: 2047–2074.
Zhang T, Kingwell E, DeJong HJI, Zhu F, Zhao Y, Carruthers R, et al. Association between the use of selective serotonin reuptake inhibitors and multiple sclerosis disability progression. Pharmacoepidemiology and Drug Safety. 2016; 25: 1150-1159. DOI: 10.1002/pds.4031
Zhang T, Kingwell E, De Jong HJI, Zhu F, Zhao Y, Carruthers R, et al. Association between the use of selective serotonin reuptake inhibitors and multiple sclerosis disability progression. Pharmacoepidemiology and Drug Safety. 2016;. DOI: 10.1002/pds.4031
Zwicker JG, Miller SP, Grunau RE, Chau V, Brant R, Studholme C, et al. Smaller Cerebellar Growth and Poorer Neurodevelopmental Outcomes in Very Preterm Infants Exposed to Neonatal Morphine. J. Pediatr. 2016;.

2015

Agostinelli C, Leung A, Yohai VJ, Zamar RH. Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination. TEST. 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER; 2015; 24: 441-461. DOI: 10.1007/s11749-015-0450-6
Agostinelli C, Leung A, Yohai VJ, Zamar RH. Rejoinder on: Robust estimation of multivariate location and scatter in the presence of cellwise and casewise contamination. TEST. 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER; 2015; 24: 484-488. DOI: 10.1007/s11749-015-0457-z
Ardlie KG, DeLuca DS, Segre AV, Sullivan TJ, Young TR, Gelfand ET, et al. The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans. SCIENCE. 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA: AMER ASSOC ADVANCEMENT SCIENCE; 2015; 348: 648-660. DOI: 10.1126/science.1262110
Barr RG, Rajabali F, Aragon M, Colbourne M, Brant R. Education about crying in normal infants is associated with a reduction in pediatric emergency room visits for crying complaints. J Dev Behav Pediatr. 2015; 36: 252–257.
Boente G, Salibian-Barrera M. S-Estimators for Functional Principal Component Analysis. JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2015; 110: 1100-1111. DOI: 10.1080/01621459.2014.946991 Software: https://github.com/msalibian/S-FPCA
Bouchard-Côté A, Doucet A, Roth A. Particle Gibbs split-merge sampling for Bayesian inference in mixture models. Journal of Machine Learning Research. 2015; (Accepted).
Bouchard-Côté A, Doucet A, Roth A. Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models. arXiv. 2015; 1508.02663.

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