Research

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Publications by Department Members

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. AAN Enterprises; 2014;82:P5–016.
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. 1 BUNGTOWN RD, COLD SPRING HARBOR, NY 11724 USA: COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT; 2014;24:14-24.
Bonner SJ, Newlands NK, Heckman NE. Modeling regional impacts of climate teleconnections using functional data analysis. ENVIRONMENTAL AND ECOLOGICAL STATISTICS. VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS: SPRINGER; 2014;21:1-26.
Bouchard-Côté A. Sequential Monte Carlo (SMC) for Bayesian phylogenetics. In: Chen M-H, Kuo L, Lewis PO (eds.). Bayesian phylogenetics: methods, algorithms, and applications. 2014. pp. 163–186.
Brechmann EC, Joe H. Parsimonious parameterization of correlation matrices using truncated vines and factor analysis. Computational Statistics & Data Analysis. Elsevier Science BV; 2014;77:233-251.
Cai S, Zidek JV, Newlands NK, Neilsen D. Statistical modeling and forecasting of fruit crop phenology under climate change. Environmetrics. Wiley Online Library; 2014;25:621–629.
Campbell H, Dean CB. The consequences of proportional hazards based model selection. Statistics in medicine. Wiley Online Library; 2014;33:1042–1056.
Campbell T, How JP. Approximate decentralized Bayesian inference. In 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. In 9th International Conference on Teaching Statistics. 2014.
de Souza CPE, Heckman NE. Switching nonparametric regression models. JOURNAL OF NONPARAMETRIC STATISTICS. 4 PARK SQUARE, MILTON PARK, ABINGDON OX14 4RN, OXON, ENGLAND: TAYLOR & FRANCIS LTD; 2014;26:617-637.
Dean CB, Heckman N, Reid N. Practical Suggestions for Developing as an Academic Leader. In Leadership and Women in Statistics. Chapman and Hall; 2014.
Evans C, Zhu F, Kingwell E, Shirani A, van der Kop ML, Petkau J, et al. Association between beta-interferon exposure and hospital events in multiple sclerosis. Pharmacoepidemiology and Drug Safety. 111 RIVER ST, HOBOKEN 07030-5774, NJ USA: WILEY-BLACKWELL; 2014;23:1213-1222.
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. Wiley Online Library; 2014;23:1213–1222.
Falasinnu T, Gilbert M, Gustafson P, Shoveller J. Deriving and validating a risk estimation tool for screening asymptomatic chlamydia and gonorrhea. Sexually transmitted diseases. LWW; 2014;41:706–712.
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. SAGE Publications; 2014;: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. LWW; 2014;41:321–330.
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.
Gustafson P. Bayesian Statistical Methodology for Observational Health Sciences Data. Statistics in Action: A Canadian Outlook. CRC Press; 2014;:163.
Gustafson P, Greenland S. Misclassification. In Handbook of Epidemiology. Springer; 2014. pp. 639–658.
Gustafson P, McCandless L. Commentary: Priors, Parameters, and Probability: A Bayesian Perspective on Sensitivity Analysis. Epidemiology. LWW; 2014;25:910–912.
Guzman J, Gomez-Ramirez O, Jurencak R, Shiff NJ, Berard RA, Duffy CM, et al. What matters most for patients, parents, and clinicians in the course of juvenile idiopathic arthritis? A qualitative study. J. Rheumatol. 2014;41:2260–2269.
Hajiaghayi M, Kirkpatrick B, Wang L, Bouchard-Côté A. Efficient continuous-time Markov chain estimation. In International Conference on Machine Learning (ICML). 2014. pp. 638–646.
Hollander Z, Lazárová M, Lam KKY, Ignaszewski A, Oudit GY, Dyck JRB, et al.. Proteomic biomarkers of recovered heart function. European journal of heart failure. Wiley Online Library; 2014;16:551–559.
Hua L, Joe H, Li H. Relations between hidden regular variation and the tail order of copulas. Journal of Applied Probability. Applied Probability Trust; 2014;51:37-57.
Hua L, Joe H. Strength of tail dependence based on conditional tail expectation. Journal of Multivariate Analysis. Elsevier Inc; 2014;123:143-159.
Joe H. Dependence Modeling with Copulas [Internet]. Boca Raton, FL: Chapman & Hall/CRC; 2014. http://www.crcpress.com/product/isbn/9781466583221
Jun S-H, Bouchard-Côté A. Memory (and time) efficient sequential Monte Carlo. In International Conference on Machine Learning (ICML). 2014. pp. 514–522.
Karim ME, Gustafson P, Petkau J, Zhao Y, Shirani A, Kingwell E, et al. Marginal structural Cox models for estimating the association between beta-interferon exposure and disease progression in a multiple sclerosis cohort. American Journal of Epidemiology. JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA: OXFORD UNIV PRESS INC; 2014;180:160-171.
Karim MEhsanul, Gustafson P, Petkau J, Zhao Y, Shirani A, Kingwell E, et al. Marginal Structural Cox Models for Estimating the Association Between β-Interferon Exposure and Disease Progression in a Multiple Sclerosis Cohort. American journal of epidemiology. Oxford University Press; 2014;180:160–171.
Koulis T, Muthukumarana S, Briercliffe C. A Bayesian stochastic model for batting performance evaluation in one-day cricket. Journal of Quantitative Analysis in Sports [Internet]. 2014;10:1–13. http://www.degruyter.com/view/j/jqas.2014.10.issue-1/jqas-2013-0057/jqas-2013-0057.xml
Le N, Leung A, Brooks-Wilson A, Cook L, Swenerton K, Demers P, et al. Occupational exposure and ovarian cancer risk. Cancer causes Control. Cancer causes Control. 2014;7:829-841.
Levinson DF, Mostafavi S, Milaneschi Y, Rivera M, Ripke S, Wray NR, et al. Genetic Studies of Major Depressive Disorder: Why Are There No Genome-wide Association Study Findings and What Can We Do About It?. BIOLOGICAL PSYCHIATRY. 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA: ELSEVIER SCIENCE INC; 2014;76:510-512.
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. Taylor & Francis; 2014;:00–00.
Lindsten F, Johansen AM, Naesseth CA, Kirkpatrick B, Schon TB, Aston J, et al. Divide-and-Conquer with Sequential Monte Carlo. arXiv. 2014;1406.4993.
Liu Y, Chen J, Li T. Level-specific correction for nonparametric likelihoods. Journal of Nonparametric Statistics. Taylor & Francis; 2014;26:433–449.
Liu Y, Battaile BC, Zidek JV, Trites AW. Bayesian melding of the dead-reckoned path and GPS measurements for an accurate and high-resolution path of marine mammals. arXiv preprint arXiv:1411.6683. 2014.
Liu Y, Battaile BC, Zidek JV, Trites AW. Bayesian Melding of the Dead-Reckoned path and GPS measurements for an accurate and high-resolution path of marine mammals. arXiv preprint arXiv: 1411.6683. 2014;.
Lublin FD, Reingold SC, Cohen JA, Cutter GR, Soelberg-Sorensen P, Thompson AJ, et al. Defining the clinical course of multiple sclerosis: The 2013 revisions. Neurology. TWO COMMERCE SQ, 2001 MARKET ST, PHILADELPHIA, PA 19103 USA: LIPPINCOTT WILLIAMS & WILKINS; 2014;83:278-286.
Maydeu-Olivares A, Joe H. Assessing approximate fit in categorical data analysis. Multivariate Behavioral Research. Routledge Journals, Taylor & Francis Ltd; 2014;49:305-328.
Mostafavi S, Ortiz-Lopez A, Bogue MA, Hattori K, Pop C, Koller D, et al. Variation and Genetic Control of Gene Expression in Primary Immunocytes across Inbred Mouse Strains. JOURNAL OF IMMUNOLOGY. 9650 ROCKVILLE PIKE, BETHESDA, MD 20814 USA: AMER ASSOC IMMUNOLOGISTS; 2014;193:4485-4496.
Mostafavi S, Battle A, Zhu X, Potash JB, Weissman MM, Shi J, et al. Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing. Molecular psychiatry. Nature Publishing Group; 2014;19:1267–1274.
Ng CT, Joe H. Model comparison with composite likelihood information criteria. Bernoulli. Int Statistical Inst; 2014;20:1738-1764.
Nolde N. The effect of aggregation on extremes from asymptotically independent light-tailed risks. EXTREMES. 233 SPRING ST, NEW YORK, NY 10013 USA: SPRINGER; 2014;17:615-631.

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