Research

Research

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

Publications by Department Members

2014

Shi T, Steyn D, Welch WJ. Air Quality Model Evaluation Using Gaussian Process Modelling and Empirical Orthogonal Function Decomposition. In Air Pollution Modeling and its Application XXIII [Internet]. Springer International Publishing; 2014. pp. 457–462. http://link.springer.com/chapter/10.1007/978-3-319-04379-1_75
Shirani A, Zhao Y, Karim ME, Petkau J, Gustafson P, Evans C, et al. Investigation of heterogeneity in the association between interferon beta and disability progression in multiple sclerosis: an observational study. European Journal of Neurology [Internet]. 2014;21:835–844. http://onlinelibrary.wiley.com/doi/10.1111/ene.12324/abstract
Shirani A, Zhao Y, Karim ME, Petkau J, Gustafson P, Evans C, et al. Investigation of heterogeneity in the association between interferon beta and disability progression in multiple sclerosis: an observational study. European Journal of Neurology. Wiley Online Library; 2014;21:835–844.
Sighoko D, Liu J, Hou N, Gustafson P, Huo D. Discordance in hormone receptor status among primary, metastatic, and second primary breast cancers: biological difference or misclassification?. The oncologist. AlphaMed Press; 2014;19:592–601.
Vinall J, Miller SP, Bjornson BH, Fitzpatrick KP, Poskitt KJ, Brant R, et al. Invasive procedures in preterm children: brain and cognitive development at school age. Pediatrics. 2014;133:412–421.
Wang D, Gustafson P. On the Impact of Misclassification in an Ordinal Exposure Variable. Epidemiologic Methods. 2014;3:97–106.
Xia M, Gustafson P. Bayesian sensitivity analyses for hidden sub-populations in weighted sampling. Canadian Journal of Statistics. Wiley Online Library; 2014;42:436–450.
Xu C, Chen J. The Sparse MLE for Ultrahigh-Dimensional Feature Screening. Journal of the American Statistical Association. Taylor & Francis; 2014;109:1257–1269.
Zhang J, Heckman N, Cubranic D, Kingsolver JG, Gaydos T, Marron JS. Prinsimp. R JOURNAL. WIRTSCHAFTSUNIVERSITAT, INST STATISTICS & MATHEMATICS, AUGASSE 2-6, WIEN, 1090, AUSTRIA: R FOUNDATION STATISTICAL COMPUTING; 2014;6:27-42.
Zhang J, Heckman N, Cubranic D, Kingsolver JG, Gaydos T, Marron JS. Prinsimp. The R Journal [Internet]. 2014;6(2):27–42. http://journal.r-project.org/archive/2014-2/zhang-etal.pdf
Zhang H, Zamar RH. Least angle regression for model selection. Wiley Interdisciplinary Reviews: Computational Statistics. Wiley Online Library; 2014;6:116–123.
Zhao Y, Li DKB, Petkau AJ, Riddehough A, Traboulsee A. Detection of unusual increases in MRI lesion counts in individual multiple sclerosis patients. Journal of the American Statistical Association [Internet]. 2014;109:119–132. http://amstat.tandfonline.com/doi/abs/10.1080/01621459.2013.847373
Zidek JV, Shaddick G, Taylor CG. Reducing estimation bias in adaptively changing monitoring networks with preferential site selection. The Annals of Applied Statistics. Institute of Mathematical Statistics; 2014;8:1640–1670.
Zidek JV, Shaddick G, Taylor CG, others . Reducing estimation bias in adaptively changing monitoring networks with preferential site selection. The Annals of Applied Statistics. Institute of Mathematical Statistics; 2014;8:1640–1670.

2013

Amankwah EK, Friedenreich CM, Magliocco AM, Brant R, Speidel T, Rahman W, et al. Hormonal and reproductive risk factors for sporadic microsatellite stable and unstable endometrial tumors. Cancer Epidemiol. Biomarkers Prev. 2013;22:1325–1331.
Amankwah EK, Friedenreich CM, Magliocco AM, Brant R, Courneya KS, Speidel T, et al. Anthropometric measures and the risk of endometrial cancer, overall and by tumor microsatellite status and histological subtype. Am. J. Epidemiol. 2013;177:1378–1387.
Ascherio A, Munger KL, White R, others . Supplementary Online Content. 2013;.
Ascherio A, Munger K, White R, Kochert K, Simon C, Polman C, et al. Vitamin D as a predictor of multiple sclerosis activity and progression. 2013;.
Balkema G, Embrechts P, Nolde N. The shape of asymptotic dependence. In Prokhorov and Contemporary Probability Theory. Springer; 2013. pp. 43–67.
Bouchard-Côté A, Hall D, Griffiths TL, Klein D. Automated reconstruction of ancient languages using probabilistic models of sound change. Proceedings of the National Academy of Sciences. 2013;110:4224–4229.
Bouchard-Côté A. A note on probabilistic models over strings: the linear algebra approach. Bulletin of Mathematical Biology. 2013;75:2529–2550.
Bouchard-Côté A. A Note on Probabilistic Models over Strings: Inference and  Representation with Indexed Matrices. arXiv. 2013;1301.5054.
Bouchard-Côté A, Jordan MI. Evolutionary inference via the Poisson indel process. Proceedings of the National Academy of Sciences. 2013;110:1160–1166.
Burstyn I, de Vocht F, Gustafson P. What do measures of agreement ($ąppa$) tell us about quality of exposure assessment? Theoretical analysis and numerical simulation. BMJ open. British Medical Journal Publishing Group; 2013;3:e003952.
Cai S, Chen J, Zidek JV. Hypothesis testing in the presence of multiple samples under density ratio models. Statistica Sinica. 2013;:To appear.
Cai S, Chen J, Zidek JV. Hypothesis testing in the presence of multiple samples under density ratio models. arXiv preprint arXiv:1309.4740. 2013;.
Campbell T, Johnson L, How JP. Multiagent allocation of Markov decision process tasks. In American Control Conference. 2013.
Campbell T, Liu M, Kulis B, How JP, Carin L. Dynamic clustering via asymptotics of the dependent Dirichlet process mixture. In Advances in Neural Information Processing Systems. 2013.
Chau V, Synnes A, Grunau RE, Poskitt KJ, Brant R, Miller SP. Abnormal brain maturation in preterm neonates associated with adverse developmental outcomes. Neurology. 2013;81:2082–2089.
Chen J. A partial order on uncertainty and information. Journal of Theoretical Probability. Springer US; 2013;26:349–359.
Chen J, Li P. MixtureInf-package. Inference for Finite Mixture Models. 2013. p. 2.
Chen H, Loeppky J, Sacks J, Welch W. Analysis Methods for Computer Experiments: How to Assess and What Counts? [Internet]. Tech. rep., University of British Columbia; 2013. http://www.stat.ubc.ca/ will/docs/whatcounts.pdf
Chen J, Huang Y. Finite-sample properties of the adjusted empirical likelihood. Journal of Nonparametric Statistics. Taylor & Francis; 2013;25:147–159.
Chen J, Liu Y. Quantile and quantile-function estimations under density ratio model. The Annals of Statistics. Institute of Mathematical Statistics; 2013;41:1669–1692.
Christmann A, Salibian-Barrera M, Van Aelst S. Qualitative Robustness of Bootstrap Approximations for Kernel Based Methods. In: Becker C, Fried R, Kuhnt S. Robustness and Complex Data Structures: Festschrift in Honour of Ursula Gather [Internet]. Berlin, Heidelberg: Springer Berlin Heidelberg; 2013. pp. 263–278. http://dx.doi.org/10.1007/978-3-642-35494-6_16
Croux C, Ronchetti E, Salibian-Barrera M, Van Aelst S. Special issue on robust analysis of complex data. COMPUTATIONAL STATISTICS & DATA ANALYSIS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2013;65:1-3.
Dimitropoulos A, McQuillen PS, Sethi V, Moosa A, Chau V, Xu D, et al. Brain injury and development in newborns with critical congenital heart disease. Neurology. 2013;81:241–248.
Falasinnu T, Gustafson P, Gilbert M, Shoveller J. Risk prediction in sexual health contexts: Protocol. JMIR research protocols. JMIR Publications Inc.; 2013;2.
Freue GVCohen, Ortiz-Molina H, Zamar RH. A natural robustification of the ordinary instrumental variables estimator. Biometrics. Wiley Online Library; 2013;69:641–650.
Freue GVCohen, Ortiz-Molina H, Zamar RH. A Natural Robustification of the Ordinary Instrumental Variables Estimator. BIOMETRICS. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY-BLACKWELL; 2013;69:641-650.
Freue GVCohen, Meredith A, Smith D, Bergman A, Sasaki M, Lam KKY, et al. Computational biomarker pipeline from discovery to clinical implementation: plasma proteomic biomarkers for cardiac transplantation. PLoS Comput Biol. Public Library of Science; 2013;9:e1002963.
Gano D, Chau V, Poskitt KJ, Hill A, Roland E, Brant R, et al. Evolution of pattern of injury and quantitative MRI on days 1 and 3 in term newborns with hypoxic-ischemic encephalopathy. Pediatr. Res. 2013;74:82–87.
Gaydos TL, Heckman NE, Kirkpatrick M, Stinchcombe JR, Schmitt J, Kingsolver J, et al. VISUALIZING GENETIC CONSTRAINTS. ANNALS OF APPLIED STATISTICS. 3163 SOMERSET DR, CLEVELAND, OH 44122 USA: INST MATHEMATICAL STATISTICS; 2013;7:860-882.
Gover A, Chau V, Miller SP, Brant R, McFadden DE, Poskitt KJ, et al. Prenatal and postnatal inflammation in relation to cortisol levels in preterm infants at 18 months corrected age. J Perinatol. 2013;33:647–651.
Grunau RE, Cepeda IL, Chau CM, Brummelte S, Weinberg J, Lavoie PM, et al. Neonatal pain-related stress and NFKBIA genotype are associated with altered cortisol levels in preterm boys at school age. PLoS ONE. 2013;8:e73926.
Gustafson P, Gilbert M, Xia M, Michelow W, Robert W, Trussler T, et al. Impact of Statistical Adjustment for Frequency of Venue Attendance in a Venue-based Survey of Men Who Have Sex With Men. American Journal of Epidemiology. Oxford University Press; 2013;177:1157–1164.
Gustafson P. Bayesian Analysis of Frailty Models. Handbook of Survival Analysis. CRC Press; 2013;:475.
Hajiaghayi M, Kirkpatrick B, Wang L, Bouchard-Côté A. Efficient Continuous-Time Markov Chain Estimation. arXiv. 2013;1309.325.
Heckman N, Lockhart R, Nielsen JD. Penalized regression, mixed effects models and appropriate modelling. ELECTRONIC JOURNAL OF STATISTICS. 3163 SOMERSET DR, CLEVELAND, OH 44122 USA: INST MATHEMATICAL STATISTICS; 2013;7:1517-1552.
Hennig C, Liao TF. How to find an appropriate clustering for mixed-type variables with application to socio-economic stratification. Journal of the Royal Statistical Society: Series C (Applied Statistics). Wiley Online Library; 2013;62:309–369.

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