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Publications by Department Members


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, 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.
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.
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.
Nolde N, Parker G. Stochastic analysis of life insurance surplus. INSURANCE MATHEMATICS & ECONOMICS. PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS: ELSEVIER SCIENCE BV; 2014;56:1-13.
Nolde N. Geometric interpretation of the residual dependence coefficient. JOURNAL OF MULTIVARIATE ANALYSIS. 525 B STREET, STE 1900, SAN DIEGO, CA 92101-4495 USA: ELSEVIER INC; 2014;123:85-95.
Raj T, Rothamel K, Mostafavi S, Ye C, Lee MN, Replogle JM, et al. Polarization of the Effects of Autoimmune and Neurodegenerative Risk Alleles in Leukocytes. SCIENCE. 1200 NEW YORK AVE, NW, WASHINGTON, DC 20005 USA: AMER ASSOC ADVANCEMENT SCIENCE; 2014;344:519-523.
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 MS lesions via conventional clinical imaging. In MULTIPLE SCLEROSIS JOURNAL. SAGE PUBLICATIONS LTD 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND; 2014. pp. 284–284.
Roth A, Khattra J, Yap D, Wan A, Laks E, Biele J, et al. PyClone: statistical inference of clonal population structure in cancer. Nature Methods. 2014;11:396–398.
Shaddick G, Zidek JV. A case study in preferential sampling: Long term monitoring of air pollution in the UK. Spatial Statistics. Elsevier; 2014;9:51–65.
Shahriari B, Wang Z, Hoffman MW, Bouchard-Côté A, de Freitas N. An Entropy Search Portfolio for Bayesian Optimization. arXiv. 2014;1406.4625.
Sharma AA, Jen R, Brant R, Ladd M, Huang Q, Skoll A, et al. Hierarchical maturation of innate immune defences in very preterm neonates. Neonatology. 2014;106:1–9.
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.
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. The R Journal [Internet]. 2014;6(2):27–42.
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.
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.


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. A note on probabilistic models over strings: the linear algebra approach. Bulletin of Mathematical Biology. 2013;75:2529–2550.
Bouchard-Côté A, Jordan MI. Evolutionary inference via the Poisson indel process. Proceedings of the National Academy of Sciences. 2013;110:1160–1166.
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.
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, 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.
Campbell T, Johnson L, How JP. Multiagent allocation of Markov decision process tasks. In American Control Conference. 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 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.
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.