Villarreal-Calderon, R., Luévano-González, A., Aragón-Flores, M., Zhu, H. T., Yuan, Y., Xiang, Q., Yan, B., Stoll, K. A., Cross, J. V., Iczkowski, K. A., and Mackinnon, A. C. Jr. Antral atrophy, intestinal metaplasia, and pre-neoplastic markers in Mexican children with Helicobacter pylori-positive and negative gastritis. Annals of Diagnostic Pathology, 18: 129-135,2014.
Lin, J., Zhu, H. T., Ahn, M., and Ibrahim, J. G. Functional mixed effects models for imaging genetic data. Genetic Epidemiology, 38: 680-691, 2014.
Zhu, H. T., Chen, Q. X., and Ibrahim, J. G. Bayesian case-deletion model complexity and information criterion. Statistics and Its Interface, 4: 531-542, 2014.
Zhu, H. T., Khondker, Z. S., Lu, Z. H., and Ibrahim, J. G. Bayesian generalized low rank regression models for neuroimaging phenotypes and genetic markers. Journal of American Statistical Association, 109: 1084-1098, 2014.
Nguyen, T., Cevidanes, L., Paniagua, B., Zhu, H. T., de Paula, L. K., and De Clerck, H. Use of shape correspondence analysis to quantify skeletal changes associated with bone-anchored class III correction. The Angle Orthodontist, 84: 329-336, 2014.
Knickmeyer, R. C., Wang, J. P., Zhu, H. T., Geng, X., Woolson, S., Hamer, R. M., Konneker, T., Lin, W. L., Styner, M., and Gilmore, J. H. Common variants in psychiatric risk genes predict brain structure at birth. Cerebra Cortex, 24: 1230-1246, 2014.
Knickmeyer, R. C., Wang, J. P., Zhu, H. T., Geng, X., Woolson, S., Hamer, R. M., Konneker, T., Styner, M., and Gilmore, J. H. Impact of Sex and Gonadal Steroids on Neonatal Brain Structure. Cerebra Cortex, 24: 2721-2731, 2014.
Ford, A. L., An, H., Kong, L., Zhu, H. T., Vo, K. D., Powers, W. J., Lin, W., and Lee, J. M. Clinically-relevant reperfusion in acute ischemic stroke: MTT performs better than Tmax and TTP. Translational Stroke Research, 5: 415-421, 2014.
Fan, Z., Wang, J. H., Ahn, M., Shiloh-Malawsky, Y., Chahin, N., Elmore, S., Bagnell, R., Wilber, K., An, H. Y., Lin, W., Zhu, H. T., Styner, M., and Kornegay, J.N. Characteristics of MRI biomarkers in a natural History study of golden retriever muscular dystrophy. Neuromuscular Disorder, 24: 178-191, 2014.
Chen, Y. S., Zhu, H. T., An, H. Y., and Lin, W. 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, 219: 551-569, 2014.
Tao, Y., Zhang, X., Chopra, M., Kim, M. J., Buch, K. R., Kong, D., Jin, J., Tang, Y., Zhu, H. T., Jewells, V., and Markovic-Plese, S. The Role of Endogenous IFNβ in the Regulation of Th17 Responses in Patients with Relapsing-Remitting Multiple Sclerosis. Journal of Immunology, 192: 5610-5617, 2014.
Cevidanes, L. H., Walker, D., Schilling, J., Sugai, J., Giannobile, W. V., Paniagua, B., Benavides, E., Zhu, H. T., Marron, J. S., Jung, B., Baranowski, D., Rhodes, J., Ludlow, J. B., Nackley, A., Lim, P. F., Nguyen, T., Goncalves, J., Wolford, L., Kapila, S., and Styner, M. 3D OsteoarthriticChanges in TMJ Condylar Morphology Correlates with Specific Systemic and Local Biomarkers of Disease. Osteoarthritis and Cartilage, 22: 1657-1667, 2014.
Gao, W., Elton, A., Zhu, H. T., Alcauter, S., Smith, J., Gilmore, J. H., and Lin, W. Inter-subject Variability of and Genetic Effects on the Brain's Functional Connectivity during Infancy. Journal of Neuroscience, 34: 11288-11296, 2014.
Bompard, L., Xu, S., Styner, M., Paniagua, B., Ahn, M., Yuan, Y., Jewells, V., Gao, W., Shen, D.G., Zhu, H. T., and Lin, W. Multivariate Longitudinal Shape Analysis of Human Lateral Ventricles during the First Twenty-Four Months of Life. PLOS ONE, 2014.
Li, G., Wang, L., Shi, F., Lyall, A. E., Ahn, M., Peng, Z., Zhu, H. T., Lin, W., Gilmore, J.H., and Shen, D.G. Cortical Thickness and Surface Area in Neonates at High Risk for Schizophrenia. accepted for Brain Structure and Function, 2014.
Kornegay, J. N., Peterson, J. M., Bogan, D. J., Kline, W., Bogan, J. R., Dow, J. L., Fan, Z., Wang, J., Ahn, M., Zhu, H. T., Styner, M., and Guttridge, D.C. NBD delivery improves the disease phenotype of the golden retriever model of Duchenne muscular dystrophy. Skeletal Muscle, 4:18, 2014.
Xia, K., Yu, Y., Ahn, M., Zhu, H. T., Zou, F., and Knickmeyer, R. C. Environmental and genetic contributors to salivary testosterone levels in infants. Frontiers in Endocrinology, in press, 2014.
Gao, Q. B., Ahn, M., and Zhu, H. T. Cook’s distance measures for varying coefficient models with functional response. Technometrics, in press, 2014.
Hyun, J. W., Li, Y. M., Gilmore, J., Lu, Z. H., Styner, M., and Zhu, H. T. SGPP: Spatial Gaussian Predictive Process Models for Neuroimaging Data. NeuroImage, 89, 70–80, 2014.
Chow, S. M., Lu, Z. H., Sherwood, A., and Zhu, H. T. Fitting nonlinear ordinary differential equation models with random effects using the stochastic approximation expectation-maximization (SAEM) algorithm. Psychometrika, In press, 2014.
Ahn, M., Shen, H. P., Lin, W. L., and Zhu, H. T. A sparse reduced rank framework for group analysis of functional neuroimaging data. Statistica Sinica, in press, 2014.
Guo, R.X., Ahn, M., and Zhu, H. T. Spatially weighted principal component analysis for imaging classification. Journal of Computational and Graphical Statistics, in press, 2014.
Sun, Q., Zhu, H. T., Liu, Y. F., and Ibrahim, J. G. SPReM: Sparse Projection Regression Model for High-dimensional Linear Regression. Journal of American Statistical Association, in press, 2014.
Zhu, H. T., Fan, J. Q., and Kong, L. L. Spatially varying coefficient models with applications in neuroimaging data with jumping discontinuity. Journal of American Statistical Association, in press, 2014.
Yuan, Y., Gilmore, J. H., Geng, X. J., Styner, M., Chen, K. H., Wang, J. L., and Zhu, H. T. FMEM: Functional mixed effects modeling for the analysis of longitudinal white matter Tract data. NeuroImage, 2014;84:753-764.