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HONGTU ZHU


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    Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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    1. Spatially Weighted Principal Component Regression for high-dimensional prediction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9123:758-769.
    2. In vivo detection of hemorrhage rate in dog models of hemophilia and VWD and at human femoral arteriotomy by ARFI ultrasound. 660-663.
    3. Generalized score test of homogeneity for mixed effects models. Annals of Statistics. 34:1545-1569.
    4. Quantitative tract-based white matter heritability in twin neonates. NeuroImage. 111:123-135.
    5. Comment. Technometrics. 54:129-133.
    6. NBD delivery improves the disease phenotype of the golden retriever model of Duchenne muscular dystrophy. Skeletal Muscle. 4.
    7. Diseased region detection of longitudinal knee MRI data. 632-643.
    8. Simultaneous one-sided pairwise comparisons in a two-way design. Biometrical Journal. 40:613-625.
    9. UNC-Utah NA-MIC DTI framework.
    10. Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities. Journal of the American Statistical Association. 109:1084-1098.
    11. Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y. Proceedings of the National Academy of Sciences of the United States of America. 114:148-153.
    12. Perturbation and scaled cook's distance. Annals of Statistics. 40:785-811.
    13. Hypothesis testing in mixture regression models. Journal of the Royal Statistical Society. Series B: Statistical Methodology. 66:3-16.
    14. Statistical analysis of diffusion tensors in diffusion-weighted magnetic resonance imaging data. Journal of the American Statistical Association. 102:1085-1102.
    15. Bayesian influence analysis. Biometrika. 98:307-323.
    16. Two-stage empirical likelihood for longitudinal neuroimaging data. Annals of Applied Statistics. 5:1132-1158.
    17. MARM. 314-325.
    18. Reperfusion beyond 6 hours reduces infarct probability in moderately ischemic brain tissue. Stroke. 47:99-105.
    19. Model selection in structural equation models with continuous and polytomous data. Structural Equation Modeling. 8:378-396.
    20. Variable selection for regression models with missing data. Statistica Sinica. 20:149-165.
    21. Diagnostic measures for generalized linear models with missing covariates. Scandinavian Journal of Statistics. 36:686-712.
    22. Local influence for incomplete-data models. Journal of the Royal Statistical Society. Series B: Statistical Methodology. 63:111-126.
    23. Tensor regression with applications in neuroimaging data analysis. Journal of the American Statistical Association. 108:540-552.
    24. Maximum likelihood estimation of nonlinear structural equation models. Psychometrika. 67:189-210.
    25. Single-index varying coefficient model for functional responses. Biometrics.
    26. Intrinsic regression models for medial representation of subcortical structures. Journal of the American Statistical Association. 107:12-23.
    27. Tailor the longitudinal anaysis for NIH longitudinal normal brain developmental study. 1206-1209.
    28. Clinical multi-push acoustic radiation force for evaluation of renal transplant status. 2106-2109.
    29. Maximum likelihood estimation for spatial models by Markov chain Monte Carlo stochastic approximation. Journal of the Royal Statistical Society. Series B: Statistical Methodology. 63:339-355.
    30. Multivariate varying coefficient model for functional responses. Annals of Statistics. 40:2634-2666.
    31. LSTGEE.
    32. Diagnostic measures for empirical likelihood of general estimating equations. Biometrika. 95:489-507.
    33. Clustering High-Dimensional Landmark-Based Two-Dimensional Shape Data. Journal of the American Statistical Association. 110:946-961.
    34. Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease. Alzheimer's and Dementia. 12:645-653.
    35. Multiscale adaptive smoothing models for the hemodynamic response function in fMRI. Annals of Applied Statistics. 7:904-935.
    36. Mapping longitudinal cerebral cortex development using diffusion tensor imaging.
    37. Perturbation selection and influence measures in local influence analysis. Annals of Statistics. 35:2565-2588.
    38. A sparse reduced rank framework for group analysis of functional neuroimaging data. Statistica Sinica. 25:295-312.
    39. Identification of linear directions in multivariate adaptive spline models. Journal of the American Statistical Association. 98:369-376.
    40. Model selection criteria for missing-data problems using the em algorithm. Journal of the American Statistical Association. 103:1648-1658.
    41. Case-deletion measures for models with incomplete data. Biometrika. 88:727-737.
    42. ARFI beam sequence performance as evaluated by trained readers. 483-486.
    43. Comment. Journal of the American Statistical Association. 102:893-896.
    44. Empirical likelihood for estimating equations with nonignorably missing data. Statistica Sinica. 24:723-747.
    45. Cortical thickness and surface area in neonates at high risk for schizophrenia. Brain Structure and Function. 221:447-461.
    46. Reinforced Angle-Based Multicategory Support Vector Machines. Journal of Computational and Graphical Statistics. 25:806-825.
    47. Environmental and genetic contributors to salivary testosterone levels in infants. Frontiers in Endocrinology. 5.
    48. Stochastic Approximation Algorithms for Estimation of Spatial Mixed Models. 399-421.
    49. STGP. NeuroImage. 134:550-562.
    50. A diagnostic procedure based on local influence. Biometrika. 91:579-589.
    51. 3D tract-specific local and global analysis of white matter integrity in Alzheimer's disease. Human Brain Mapping.
    52. Regularization of diffusion tensor field using coupled robust anisotropic diffusion filters. 52-57.
    53. Two-stage multiscale adaptive regression methods for twin neuroimaging data. 102-109.
    54. Bayesian case influence measures for statistical models with missing data. Journal of Computational and Graphical Statistics. 21:253-271.
    55. Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data. Annals of Applied Statistics. 9:1601-1620.
    56. Bayesian case-deletion model complexity and information criterion. Statistics and its Interface. 7:531-542.
    57. Regression models on Riemannian symmetric spaces. Journal of the Royal Statistical Society. Series B: Statistical Methodology.
    58. Robust estimation and design procedures for the random effects model. Canadian Journal of Statistics. 31:99-110.
    59. Double Penalized H-Likelihood for Selection of Fixed and Random Effects in Mixed Effects Models. Statistics in Biosciences. 1-21.
    60. Rejoinder. Lifetime Data Analysis. 17:76-79.
    61. RADTI.
    62. Local influence for generalized linear mixed models. Canadian Journal of Statistics. 31:293-309.
    63. Hidden Markov latent variable models with multivariate longitudinal data. Biometrics.
    64. A Latent Variable Model of Segregation Analysis for Ordinal Traits. Journal of the American Statistical Association. 98:1023-1034.
    65. Statistical analysis of diffusion tensors in diffusion-weighted magnetic resonance imaging data. Journal of the American Statistical Association. 102:1110-1113.
    66. Predicting Alzheimer's disease using combined imaging-whole genome SNP data. Journal of Alzheimer's Disease. 46:695-702.
    67. Intrinsic regression models for positive-definite matrices with applications to diffusion tensor imaging. Journal of the American Statistical Association. 104:1203-1212.
    68. Multivariate network-level approach to detect interactions between large-scale functional systems. 298-305.
    69. A Bayesian analysis of finite mixtures in the LISREL model. Psychometrika. 66:133-152.
    70. Local polynomial regression for symmetric positive definite matrices. Journal of the Royal Statistical Society. Series B: Statistical Methodology. 74:697-719.
    71. Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers. Journal of the American Statistical Association. 109:977-990.
    72. Perturbation selection and local influence analysis for generalized linear mixed models. Journal of Computational and Graphical Statistics. 19:826-842.
    73. Antenatal depression, treatment with selective serotonin reuptake inhibitors, and neonatal brain structure. Psychiatry Research - Neuroimaging. 253:43-53.
    74. Analysis of generalized linear mixed models via a stochastic approximation algorithm with Markov chain Monte-Carlo method. Statistics and Computing. 12:175-183.
    75. FVGWAS. NeuroImage. 118:613-627.
    76. Regression models for identifying noise sources in magnetic resonance images. Journal of the American Statistical Association. 104:623-637.
    77. Preferred point α-manifold and Amari's α-connections. Statistics and Probability Letters. 36:219-229.
    78. Voxel-wise group analysis of dti. 807-810.
    79. Bflcrm. Annals of Applied Statistics. 9:2153-2178.
    80. The bayesian covariance lasso. Statistics and its Interface. 6:243-259.
    81. Genome-wide association analysis of secondary imaging phenotypes from the Alzheimer's disease neuroimaging initiative study. NeuroImage.
    82. Automated voxel-wise brain DTI analysis of fitness and aging. Open Medical Imaging Journal. 6:80-88.
    83. Fast tensor image morphing for elastic registration. 721-729.
    84. Evidence on the emergence of the brain's default network from 2-week-old to 2-year-old healthy pediatric subjects (Proceedings of the National Academy of Sciences of the United States of America (2009) 106, 16, (6790-6795) DOI. Proceedings of the National Academy of Sciences of the United States of America. 106:9931.
    85. Perturbation selection and local influence analysis for nonlinear structural equation model. Psychometrika. 74:493-516.
    86. Hierarchical unbiased group-wise registration for atlas construction and population comparison.
    87. Maximum likelihood from spatial random effects models via the stochastic approximation expectation maximization algorithm. Statistics and Computing. 17:163-177.
    88. Some notes on preferred point α-geometry and α-divergence function1 . Statistics and Probability Letters. 33:427-437.
    89. Statistical modelling of brain morphological measures within family pedigrees. Statistica Sinica. 18:1569-1591.
    90. Intrinsic regression models for manifold-valued data. 192-199.
    91. Spatially Weighted Principal Component Analysis for Imaging Classification. Journal of Computational and Graphical Statistics. 24:274-296.
    92. Statistical analysis of nonlinear structural equation models with continuous and polytomous data. British Journal of Mathematical and Statistical Psychology. 53:209-232.
    93. Functional nonlinear mixed effects models for longitudinal image data. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9123:794-805.
    94. Cooks distance measures for varying coefficient models with functional responses. Technometrics. 57:268-280.
    95. Adaptively and spatially estimating the hemodynamic response functions in fMRI. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6892 LNCS:269-276.
    96. Asymptotics for estimation and testing procedures under loss of identifiability. Journal of Multivariate Analysis. 97:19-45.
    97. Semiparametric Bayes Local Additive Models for Longitudinal Data. Statistics in Biosciences. 1-18.
    98. In vivo hemostasis detection at human femoral arteriotomy by ARFI ultrasound.
    99. UNC-Utah NA-MIC framework for DTI fiber tract analysis. Frontiers in Neuroinformatics. 7.
    100. Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM. 274-281.
    101. Multivariate varying coefficient models for DTI tract statistics. 690-697.
    102. Dystrophin-deficient dogs with reduced myostatin have unequal muscle growth and greater joint contractures. Skeletal Muscle. 6.
    103. A longitudinal functional analysis framework for analysis of white matter tract statistics. 220-231.
    104. Autologistic regression model for the distribution of vegetation. Journal of Agricultural, Biological, and Environmental Statistics. 8:205-222.
    105. Psychometrika. 81:102-134.
    106. Diagnostic measures for the Cox regression model with missing covariates. Biometrika. 102:907-923.
    107. Bayesian sensitivity analysis of statistical models with missing data. Statistica Sinica. 24:871-896.
    108. Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection. Genetic Epidemiology. 39:664-677.
    109. TIMER. 1-8.
    110. Statistical analysis of nonlinear factor analysis models. British Journal of Mathematical and Statistical Psychology. 52:225-242.
    111. Diseased Region Detection of Longitudinal Knee Magnetic Resonance Imaging Data. IEEE Transactions on Medical Imaging. 34:1914-1927.
    112. SPReM. Journal of the American Statistical Association. 110:289-302.
    113. 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. 191:5867-5874.
    114. Mapping growth patterns and genetic influences on early brain development in twins. 232-239.
    115. SR-HARDI. Journal of Computational and Graphical Statistics. 25:1195-1211.
    116. Varying coefficient model for modeling diffusion tensors along white matter tracts. Annals of Applied Statistics. 7:102-125.
    117. Multiscale adaptive regression models for neuroimaging data. Journal of the Royal Statistical Society. Series B: Statistical Methodology. 73:559-578.
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