Tang, N. S., Zhao, P. Y., and Zhu, H. T. Empirical likelihood for estimating equations with nonignorably missing data. Statistica Sinica, in press, 2013.
Zhu, H. T., Ibrahim, J. G., and Tang, N. S. Bayesian sensitivity analysis of statistical models with missing data. Statistica Sinica, in press, 2013.
Hua, Z. W., Zhu, H. T., and Dunson, D. B. Semiparametric Bayes Local Additive Models for Longitudinal Data. Statistics in Biosciences, 2013:1-18.
Xu, P. R., Wang, T., Zhu, H. T., and Zhu, L. X. Double Penalized H-Likelihood for Selection of Fixed and Random Effects in Mixed Effects Models. Statistics in Biosciences, 2013:1-21.
Verde, A. R., Budin, F., Berger, J. B., Gupta, A., Farzinfar, M., Kaiser, A., Ahn, M., Johnson, H., Matsui, J., Hazlett, H. C., Sharma, A., Goodlett, C., Shi, Y., Gouttard, S., Vachet, C., Piven, J., Zhu, H. T., Gerig, G., and Styner, M. UNC-Utah NA-MIC Framework for DTI Fiber Tract Analysis. Frontiers in Neuroinformatics, 2013;7:51.
Zhang, X. Tao, Y. Z., Chopra, M., Ahn, M., Marcus, K. L., Choudhary, N., Zhu, H. T., and Markovic-Plese, S. Differential Reconstitution of T Cell Subsets Following Immunodepleting Treatment with Alemtuzumab (Anti-CD52 Monoclonal Antibody) in Patients with Relapsing-Remitting Multiple Sclerosis. Journal of Immunology, 2013: 191, 5867-5874.
Fan, Z., Wang, J. H., Ahn, M., Shiloh-Malawsky, Y., Chahin, N., Elmore, S., Bagnell, Jr.C. R., Wilber, K., An, H. Y., Lin, W. L., Zhu, H. T., Styner, M., and Kornegay, J. N. Characteristics of magnetic resonance imaging biomarkers in a natural history study of golden retriever muscular dystrophy. Neuromuscular Disorders, 2013.
Lecornu, M., Cevidanes, L. H. S., Zhu, H. T., Wu, C. D., Larson, B., and Nguyen, T. Three-dimensional treatment outcomes in Class II patients treated with the Herbst appliance: A pilot study. American Journal of Orthodontics and Dentofacial Orthopedics, 2013;144(6):818-830.
Villarreal-Calderon, R., Franco-Lira, M., González-Maciel, A., Reynoso-Robles, R., Harritt, L. Pérez-Guillé, B., Ferreira-Azevedo, L., Drecktrah, D., Zhu, H. T., Sun, Q., Torres-Jardón, R., Aragón-Flores, M., Calderón-Garcidueñas, A., Diaz, P., and Calderón-Garcidueñas, L. Up-regulation of mRNA ventricular PRNP prion protein gene expression in air pollution highly exposed young urbanites: Endoplasmic reticulum stress, glucose regulated protein 78, and nanosized particles. International Journal of Molecular Sciences, 2013;14(12):23471-23491.
Calderón-Garcidueñas, L., Cross, J. V., Franco-Lira, M., Aragón-Flores, M., Kavanaugh, M., Torres-Jardón, R., Chao, C. K., Thompson, C., Chang, J., Zhu, H. T., and D'Angiulli, A. Brain immune interactions and air pollution: macrophage inhibitory factor (MIF), prion cellular protein (PrPC), Interleukin-6 (IL-6), interleukin 1 receptor antagonist (IL-1Ra), and interleukin-2 (IL-2) in cerebrospinal fluid and MIF in serum differentiate urban children exposed to severe vs. low air pollution. Frontiers in Neuroscience, 2013;(7 OCT).
Zhou, H., Li, L. X., and Zhu, H. T. Tensor regression with applications in neuroimaging data analysis. Journal of the American Statistical Association, 2013;108(502):540-552.
Miranda, M. F., Zhu, H. T., and Ibrahim, J. G. Bayesian spatial transformation models with applications in neuroimaging data. Biometrics, 2013;69(4):1074-1083.
Behler, R. H., Czernuszewicz, T. J., Wu, C. D., Nichols, T. C., Zhu, H. T., Homeister, J. W., Merricks, E. P., and Gallippi, C. M. Acoustic radiation force beam sequence performance for detection and material characterization of atherosclerotic plaques: Preclinical, ex vivo results. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2013;60(12):2471-2487.
Gao, W., Gilmore, J. H., Shen, D. G., Smith, J. K., Zhu, H. T., and Lin, W. L. The synchronization within and interaction between the default and dorsal attention networks in early infancy. Cerebral Cortex, 2013;23(3):594-603.
Li, Y. M., Gilmore, J. H., Shen, D. G., Styner, M., Lin, W. L., and Zhu, H. T. Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data. NeuroImage, 2013;72:91-105.
Chen, Y. S., Zhu, H. T., An, H. Y., Armao, D., Shen, D. G., Gilmore, J. H., and Lin, W. L. More insights into early brain development through statistical analyses of eigen-structural elements of diffusion tensor imaging using multivariate adaptive regression splines. Brain Structure and Function, 2013:1-19.
De Paula, L. K., Ruellas, A. C. O., Paniagua, B., Styner, M., Turvey, T. Zhu, H. T., Wang, J., and Cevidanes, L. H. S. One-year assessment of surgical outcomes in Class III patients using cone beam computed tomography. International Journal of Oral and Maxillofacial Surgery, 2013;42(6):780-789.
Calderón-Garcidueñas, L., Mora-Tiscareño, A., Francolira, M., Torres-Jardón, R., Peña-Cruz, B., Palacios-López, C., Zhu, H. T., Kong, L. L., Mendoza-Mendoza, N., Montesinoscorrea, H., Romero, L., Valencia-Salazar, G., Kavanaugh, M. and Frenk, S. Exposure to urban air pollution and bone health in clinically healthy six-year-old-children. Arhiv za Higijenu Rada i Toksikologiju, 2013;64(1):23-34.
Calderón-Garcidueñas, L., Serrano-Sierra, A., Torres-Jardón, R., Zhu, H. T., Yuan, Y., Smith, D., Delgado-Chávez, R., Cross, J. V., Medina-Cortina, H., Kavanaugh, M., and Guilarte, T. R. The impact of environmental metals in young urbanites' brains. Experimental and Toxicologic Pathology, 2013;65(5):503-511.
Wang, J. P., Zhu, H. T., Fan, J. Q., Giovanello, K., and Lin, W. L. Multiscale adaptive smoothing models for the hemodynamic response function in fMRI. Annals of Applied Statistics, 2013;7(2):904-935.
Khondker, Z. S., Zhu, H. T., Chu, H. T., Lin, W. L., and Gilmore, J. H. The bayesian covariance lasso. Statistics and its Interface, 2013;6(2):243-259.
Shi, Y., Short, S. J., Knickmeyer, R. C., Wang, J. P., Coe, C. L., Niethammer, M., Gilmore, J. H. Zhu, H. T., and Styner, M. Diffusion tensor imaging-based characterization of brain neurodevelopment in primates. Cerebral Cortex, 2013;23(1):36-48.
Bryant, C., Giovanello, K. S., Ibrahim, J. G., Chang, J., Shen, D. G., Peterson, B. S., and Zhu, H. T. Mapping the Genetic Variation of Regional Brain Volumes as Explained by All Common SNPs from the ADNI Study. PLoS ONE, 2013;8(8).
Calderón-Garcidueñas, L., Mora-Tiscareño, A., Franco-Lira, M., Cross, J. V., Engle, R., Aragón-Flores, M., Gómez-Garza, G., Jewells, V., Medina-Cortina, H., Solorio, E., Chao, C. K., Zhu, H. T., Mukherjee, P. S., Ferreira-Azevedo, L., Torres-Jardón, R., and D'Angiulli, A. Flavonol-rich dark cocoa significantly decreases plasma endothelin-1 and improves cognition in urban children. Frontiers in Pharmacology, 2013;4 AUG.
McClure, R. K., Styner, M., Maltbie, E., Lieberman, J. A., Gouttard, S., Gerig, G., Shi, X. Y., and Zhu, H. T. Localized differences in caudate and hippocampal shape are associated with schizophrenia but not antipsychotic type. Psychiatry Research - Neuroimaging, 2013;211(1):1-10.