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.