Subscribe to email list

Please select the email list(s) to which you wish to subscribe.

You are here

Publications by Department Members


Chen J. The joy of proofs in statistical research. Canadian Journal of Statistics. 2015;43:481–497.
Crane JM, Magee LA, Lee T, Synnes A, von Dadelszen P, Dahlgren L, et al. Maternal and perinatal outcomes of pregnancies delivered at 23 weeks' gestation. J Obstet Gynaecol Can. 2015;37:214–224.
Dunham B, Yapa G, Yu E. Calibrating the Difficulty of Assessment Tools: Blooming a Statistics Exam. Journal of Statistical Education. 2015;23(3).
Etminan M, Luo H, Gustafson P. Risk of intracranial hypertension with intrauterine levonorgestrel. Therapeutic advances in drug safety. SAGE Publications; 2015;6:110–113.
Fairbrother N, Barr RG, Pauwels J, Brant R, Green J. Maternal thoughts of harm in response to infant crying: an experimental analysis. Arch Womens Ment Health. 2015;18:447–455.
Gattiker JR, Hamada MS, Higdon DM, Schonlau M, Welch WJ. Using a Gaussian process as a nonparametric regression model. Quality and Reliability Engineering International [Internet]. 2015;.
Guarna MM, Melathopoulos AP, Huxter E, Iovinella I, Parker R, Stoynov N, et al. A search for protein biomarkers links olfactory signal transduction to social immunity. BMC genomics. BioMed Central Ltd; 2015;16:63.
Gustafson P. Discussion of ``On Bayesian Estimation of Marginal Structural Models''. Biometrics. Wiley-Blackwell; 2015;71:291–293.
Hall WA, Hutton E, Brant RF, Collet JP, Gregg K, Saunders R, et al. A randomized controlled trial of an intervention for infants' behavioral sleep problems. BMC Pediatr. 2015;15:181.
Hartung H-P, Kappos L, Goodin DS, O’Connor P, Filippi M, Arnason B, et al.. Predictors of disease activity in 857 patients with MS treated with interferon beta-1b. Journal of neurology. Springer; 2015;262:2466–2471.
Hartung HP, Kappos L, Goodin DS, O'Connor P, Filippi M, Arnason B, et al. Predictors of disease activity in 857 patients with MS treated with interferon beta-1b. Journal of Neurology. TIERGARTENSTRASSE 17, D-69121 HEIDELBERG, GERMANY: SPRINGER HEIDELBERG; 2015;262:2466-2471.
Hexter A, Jones A, Joe H, Heap L, Smith MJ, Wallace AJ, et al. Clinical and molecular predictors of mortality in neurofibromatosis 2: a UK national analysis of 1192 patients. Journal of Medical Genetics. BMJ Publishing Group; 2015;52:699-705.
Jewell S, Spencer N, Bouchard-Côté A. Atomic spatial processes. In International Conference on Machine Learning (ICML). 2015. pp. 248–256.
Joe H. Markov count time series models with covariates. In: Davis RA, Holan SH, Lund RB, Ravishanker N. Handbook of Discrete-Valued Time Series [Internet]. Boca Raton, FL: Chapman & Hall/CRC; 2015. pp. 29–49.
Joe H, Cai J, Czado C, Li H. Preface to special issue on high-dimensional dependence and copulas. Journal of Multivariate Analysis. Elsevier Inc; 2015;138:1-3.
Kingsolver JG, Heckman N, Zhang J, Carter PA, Knies JL, Stinchcombe JR, et al. Genetic Variation, Simplicity, and Evolutionary Constraints for Function-Valued Traits. AMERICAN NATURALIST. 1427 E 60TH ST, CHICAGO, IL 60637-2954 USA: UNIV CHICAGO PRESS; 2015;185:E166-E181.
Kondo Y, Zhao Y, Petkau J. A flexible mixed-effect negative binomial regression model for detecting unusual increases in MRI lesion counts in individual multiple sclerosis patients. Statistics in Medicine. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY-BLACKWELL; 2015;34:2165-2180.
Krupskii P, Joe H. Structured factor copula models: Theory, inference and computation. Journal of Multivariate Analysis. Elsevier Inc; 2015;138:53-73.
Krupskii P, Joe H. Tail-weighted measures of dependence. Journal of Applied Statistics. Taylor & Francis Ltd; 2015;42:614-629.
Krupskii P, Joe H. Tail-weighted measures of dependence. Journal of Applied Statistics. 2015;42:614–629.
Krupskii P, Joe H. Structured factor copula models: theory, inference and computation. Journal of Multivariate Analysis. 2015;138:53–73.
Larson CP, Sauve L, Senkungu JK, Arifeen SE, Brant R. Development and validation of weight, height and age bands to guide the prescription of fixed-dose dispersible tablet formulations. J Pediatr Pharmacol Ther. 2015;20:24–32.
Lavoie PM, Stritzke A, Ting J, Jabr M, Jain A, Kwan E, et al. Oral glucose during targeted neonatal echocardiography: is it useful?. Arch. Dis. Child. Fetal Neonatal Ed. 2015;100:F374–375.
Lei E, Yao F, Heckman N, Meyer K. Functional Data Model for Genetically Related Individuals With Application to Cow Growth. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS. 732 N WASHINGTON ST, ALEXANDRIA, VA 22314-1943 USA: AMER STATISTICAL ASSOC; 2015;24:756-770.
Leung A, Danilov M, Yohai V, Zamar R. GSE: Robust Estimation in the Presence of Cellwise and Casewise Contamination and Missing Data. 3.3rd ed. 2015. p. R package.
Li S, Chen J, Guo J, Jing B-Y, Tsang S-Y, Xue H. Likelihood Ratio Test for Multi-Sample Mixture Model and Its Application to Genetic Imprinting. Journal of the American Statistical Association. 2015;110:867–877.
Liu Y, Dinsdale DR, Jun S-H, Briercliffe C, Bone J. Automatic Learning of Basketball Strategy via SportVU Tracking Data: the Potential Field Approach. Submitted to Sloan Sports Analytics Conference. 2015;.
Liu Y, Battaile BC, Trites AW, Zidek JV. Bias correction and uncertainty characterization of Dead-Reckoned paths of marine mammals. Animal Biotelemetry. BioMed Central; 2015;3:1.
Liu Y, Shaddick G, Zidek JV. incorporating high-dimensional exposure modelling into studies of air pollution and health. Statistics in Biosciences. 2015;:Accepted.
Liu J, Liu W, Wu L, Yang G. A flexible approach for multivariate mixed-effects models in the presence of non-ignorable missingness and measurement error. Journal of Statistical Computation and Simulation. 2015;.
Liu Y, Battaile BC, Zidek JV, Trites AW. Bias Correction and Uncertainty Characterization of Dead-Reckoned Paths of Marine Mammals. Animal Biotelmetry. 2015;3.
Marchant EA, Kan B, Sharma AA, van Zanten A, Kollmann TR, Brant R, et al. Attenuated innate immune defenses in very premature neonates during the neonatal period. Pediatr. Res. 2015;78:492–497.
Nikoloulopoulos AK, Joe H. Factor copula models for item response data. Psychometrika. Springer; 2015;80:126-150.
Nolde N, Jakob M. Challenging the standard dike freeboard: Methods to quantify statistical uncertainties in river flood protection. Canadian Water Resources Journal/Revue canadienne des ressources hydriques. Taylor & Francis; 2015;:1–10.
Pierson E, Koller D, Battle A, Mostafavi S, Consortium GTE. Sharing and Specificity of Co-expression Networks across 35 Human Tissues. PLOS COMPUTATIONAL BIOLOGY. 1160 BATTERY STREET, STE 100, SAN FRANCISCO, CA 94111 USA: PUBLIC LIBRARY SCIENCE; 2015;11:e1004220.
Reich DS, White R, Cortese ICM, Vuolo L, Shea CD, Collins TL, et al. Sample-size calculations for short-term proof-of-concept studies of tissue protection and repair in multiple sclerosis lesions via conventional clinical imaging. Multiple Sclerosis Journal. 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND: SAGE PUBLICATIONS LTD; 2015;21:1693-1704.
Shaddick G, Zidek JV. Spatio-Temporal Methods in Environmental Epidemiology. CRC Press; 2015.
Shirani A, Zhao Y, Petkau J, Gustafson P, Karim ME, Evans C, et al. Multiple sclerosis in older adults: the clinical profile and impact of interferon beta treatment. Biomed Research International. 410 PARK AVENUE, 15TH FLOOR, \#287 PMB, NEW YORK, NY 10022 USA: HINDAWI PUBLISHING CORPORATION; 2015;:451912.
Shirani A, Zhao Y, Petkau J, Gustafson P, Karim MEhsanul, Evans C, et al. Multiple Sclerosis in Older Adults: The Clinical Profile and Impact of Interferon Beta Treatment. BioMed research international. Hindawi Publishing Corporation; 2015;2015.
Tomal JH, Welch WJ, Zamar RH, others . Ensembling classification models based on phalanxes of variables with applications in drug discovery. The Annals of Applied Statistics [Internet]. 2015;9:69–93.
Tremlett H, Dai DLY, Hollander Z, Kapanen A, Aziz T, Wilson-McManus JE, et al. Serum proteomics in multiple sclerosis disease progression. Journal of proteomics. Elsevier; 2015;118:2–11*Senior Author.
Troncoso P. The SAGE handbook of multilevel modeling. International Journal of Research & Method in Education [Internet]. 2015;38:100–101.
Vinall J, Zwicker JG, Grunau RE, Chau V, Poskitt KJ, Brant R, et al. Early neonatal pain exposure and brain microstructure interact to predict neurodevelopmental outcomes at 18 months corrected age in children born very preterm. Int. J. Dev. Neurosci. 2015;47:47.