Publications by Department Members
2015
- Park Y, Kellis M. Deep learning for regulatory genomics Nat. Biotechnol.. 2015 33: 825–826.
- Pierson E, Koller D, Battle A, Mostafavi S, Consortium G. Sharing and Specificity of Co-expression Networks across 35 Human Tissues PLOS COMPUTATIONAL BIOLOGY. 2015 11: e1004220. DOI: 10.1371/journal.pcbi.1004220
- Qiu J, WU L. A moving blocks empirical likelihood method for longitudinal data Biometrics [Internet]. 2015 71: 616–624. DOI: 10.1111/biom.12317 URL: http://onlinelibrary.wiley.com/doi/10.1111/biom.12317/abstract
- Rabkin S, Campbell H. Comparison of reducing epicardial fat by exercise, diet or bariatric surgery weight loss strategies: a systematic review and meta-analysis Obesity Reviews. 2015 16: 406–415.
- Reich D, White R, Cortese I, Vuolo L, Shea C, Collins T, 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. 2015 21: 1693-1704. DOI: 10.1177/1352458515569098
- 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. 2015 1352458515569098.
- Roth A, McPherson A, Bouchard-Côté A, Shah S. Inference of clonal genotypes from single cell sequencing data HitSeq. 2015
- Shaddick G, Zidek JV. Spatio-Temporal Methods in Environmental Epidemiology . 2015
- Shirani A, Zhao Y, Petkau J, Gustafson P, Karim M, Evans C, et al. Multiple sclerosis in older adults: the clinical profile and impact of interferon beta treatment BioMed Research International. 2015 2015: ID451912, 11 pages. DOI: 10.1155/2015/451912
- 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. 2015 2015: DOI: 10.1155/2015/451912
- Straub J, Campbell T, How JP, Fisher J. Small-variance nonparametric clustering on the hypersphere IEEE Conference on Computer Vision and Pattern Recognition. 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. URL: http://projecteuclid.org/euclid.aoas/1430226085
- Tomal JH, Welch WJ, Zamar RH. ENSEMBLING CLASSIFICATION MODELS BASED ON PHALANXES OF VARIABLES WITH APPLICATIONS IN DRUG DISCOVERY ANNALS OF APPLIED STATISTICS. 2015 9: 69-93. DOI: 10.1214/14-AOAS778
- 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. 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. DOI: 10.1080/1743727X.2014.986027 URL: http://dx.doi.org/10.1080/1743727X.2014.986027
- 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.
- Wang L, Bouchard-Côté A, Doucet A. Bayesian phylogenetic inference using the combinatorial sequential Monte Carlo method Journal of the American Statistical Association. 2015 110: 1362–1374.
- Wang L, Chen J, Pu X. Resampling calibrated adjusted empirical likelihood Canadian Journal of Statistics. 2015 43: 42–59.
- Wong SWK, LUM C, WU L, Zidek JV. Quantifying uncertainty in lumber grading and strength prediction: a Bayesian approach Technometrics. 2015 58: 236-243.
- Xu C, Chen J. A Thresholding Algorithm for Order Selection in Finite Mixture Models Communications in Statistics-Simulation and Computation. 2015 44: 433–453.
- Zhang T, Shirani A, Zhao Y, Karim M, Gustafson P, Petkau J, et al. Beta-interferon exposure and onset of secondary progressive multiple sclerosis European Journal of Neurology. 2015 22: 990–1000. DOI: 10.1111/ene.12698
- Zhang T, Shirani A, Zhao Y, Karim M, Gustafson P, Petkau J, et al. Beta-interferon exposure and onset of secondary progressive multiple sclerosis European Journal of Neurology [Internet]. 2015 22: 990–1000. DOI: 10.1111/ene.12698 URL: http://onlinelibrary.wiley.com/doi/10.1111/ene.12698/abstract
- Zhao T, Cumberworth A, Wang Z, Gsponer J, de Freitas N, Bouchard-Côté A. Bayesian analysis of continuous time Markov chains with application to phylogenetic modelling Bayesian Analysis. 2015 11: 1203–1237.
- Zhao T, Wang Z, Cumberworth A, Gsponer J, de Freitas N, Bouchard-Côté A. Bayesian analysis of continuous time Markov chains with application to phylogenetic modelling Bayesian Analysis. 2015 (In Press):
- Zhao Y, Kondo Y, Traboulsee A, Li D, Riddehough A, Petkau A. Personalized activity index, a new safety monitoring tool for multiple sclerosis clinical trials Multiple Sclerosis Journal – Experimental, Translational and Clinical [Internet]. 2015 1: 1-15. DOI: 10.1177/2055217315577829 URL: http://mso.sagepub.com/content/1/2055217315577829
- Zidek JV, others . Discussion of ``Optimal design in geostatistics under preferential sampling '' Ferreira and Gamerman Bayesian Analysis. 2015 10: 749–752.
- Zlosnik JE, Zhou G, Brant R, Henry DA, Hird TJ, Mahenthiralingam E, et al. Burkholderia species infections in patients with cystic fibrosis in British Columbia, Canada. 30 years' experience Ann Am Thorac Soc. 2015 12: 70–78.
2014
- Ascherio A, Munger K, White R, Köchert K, Simon KClaire, Freedman M, et al. Vitamin D As Predictor Of Multiple Sclerosis Activity And Progression In Patients With CIS Treated Early With Interferon beta-1b (P5. 016) Neurology. 2014 82: P5–016.
- Ascherio A, Munger KL, White R, Köchert K, Simon KClaire, Polman CH, et al. Vitamin D as an early predictor of multiple sclerosis activity and progression JAMA neurology. 2014 71: 306–314.
- Ayad M, Coia V, Kihel O. The Number of Relatively Prime Subsets of a Finite Union of Sets of Consecutive Integers Journal of Integer Sequences. 2014 17: 3.
- Barr RG, Fairbrother N, Pauwels J, Green J, Chen M, Brant R. Maternal frustration, emotional and behavioural responses to prolonged infant crying Infant Behav Dev. 2014 37: 652–664.
- Battle A, Mostafavi S, Zhu X, Potash JB, Weissman MM, McCormick C, et al. Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals GENOME RESEARCH. 2014 24: 14-24. DOI: 10.1101/gr.155192.113
- Bingham D, Ranjan P, Welch WJ. Design of Computer Experiments for Optimization, Estimation of Function Contours, and Related Objectives Statistics in Action: A Canadian Outlook [Internet]. 2014 109: URL: http://books.google.com/books?hl=en&lr=&id=0GbvAgAAQBAJ&oi=fnd&pg=PA109&dq=info:6iJ547N97RwJ:scholar.google.com&ots=ZsI6ZcqMhr&sig=xk0x1HgmPBsC7dJovZQoMtlGCJQ
- Boente G, Barrera MSalibián, Tyler DE. A characterization of elliptical distributions and some optimality properties of principal components for functional data Journal of Multivariate Analysis [Internet]. 2014 131: 254 - 264. DOI: 10.1016/j.jmva.2014.07.006 URL: http://www.sciencedirect.com/science/article/pii/S0047259X14001638
- Bonner SJ, Newlands NK, Heckman NE. Modeling regional impacts of climate teleconnections using functional data analysis ENVIRONMENTAL AND ECOLOGICAL STATISTICS. 2014 21: 1-26. DOI: 10.1007/s10651-013-0241-8
- Bouchard-Côté A, Chen M, Kuo L, Lewis PO(eds). Sequential Monte Carlo (SMC) for Bayesian phylogenetics Bayesian phylogenetics: methods, algorithms, and applications. 2014 163–186.
- Brechmann EC, Joe H. Parsimonious parameterization of correlation matrices using truncated vines and factor analysis Computational Statistics & Data Analysis. 2014 77: 233-251. DOI: 10.1016/j.csda.2014.03.002
- Cai S, Zidek JV, Newlands NK, Neilsen D. Statistical modeling and forecasting of fruit crop phenology under climate change Environmetrics. 2014 25: 621–629.
- Campbell H, Dean C. The consequences of proportional hazards based model selection Statistics in medicine. 2014 33: 1042–1056.
- Campbell T, How JP. Approximate decentralized Bayesian inference Uncertainty in Artificial Intelligence. 2014
- Coia V, Huang MLing. A Sieve model for extreme values Journal of Statistical Computation and Simulation. 2014 84: 1692–1710.
- Cubranic D, Dunham B, Kim D. On-line homework in probability and statistics: WeBWorK incorporating R. 9th International Conference on Teaching Statistics. 2014
- de Souza CPE, Heckman NE. Switching nonparametric regression models JOURNAL OF NONPARAMETRIC STATISTICS. 2014 26: 617-637. DOI: 10.1080/10485252.2014.941364
- Dean C, Heckman N, Reid N. Practical Suggestions for Developing as an Academic Leader Leadership and Women in Statistics. 2014
- Evans C, Zhu F, Kingwell E, Shirani A, Kop ML, Petkau J, et al. Association between beta-interferon exposure and hospital events in multiple sclerosis Pharmacoepidemiology and drug safety. 2014 23: 1213–1222. DOI: 10.1002/pds.3667
- Evans C, Zhu F, Kingwell E, Shirani A, van der Kop M, Petkau J, et al. Association between beta-interferon exposure and hospital events in multiple sclerosis Pharmacoepidemiology and Drug Safety. 2014 23: 1213-1222. DOI: 10.1002/pds.3667
- Falasinnu T, Gilbert M, Gustafson P, Shoveller J. Deriving and validating a risk estimation tool for screening asymptomatic chlamydia and gonorrhea Sexually transmitted diseases. 2014 41: 706–712. DOI: 10.1097/olq.0000000000000205
- Falasinnu T, Gilbert M, Salway THottes, Gustafson P, Ogilvie G, Shoveller J. Predictors identifying those at increased risk for STDs: a theory-guided review of empirical literature and clinical guidelines International journal of STD & AIDS. 2014 0956462414555930. DOI: 10.1177/0956462414555930
- Falasinnu T, Gustafson P, Hottes TSalway, Gilbert M, Ogilvie G, Shoveller J. A critical appraisal of risk models for predicting sexually transmitted infections Sexually transmitted diseases. 2014 41: 321–330. DOI: 10.1097/olq.0000000000000120
- Guan L, Collet JP, Yuskiv N, Skippen P, Brant R, Kissoon N. The effect of massage therapy on autonomic activity in critically ill children Evid Based Complement Alternat Med. 2014 2014: 656750.