Loading...
Header Logo
Keywords
Last Name
Institution

HONGTU ZHU

TitleProfessor
InstitutionMD Anderson
DepartmentBiostatistics
vCardDownload vCard

    Collapse ORNG Applications 
    Collapse Verify Publications

    Collapse Bibliographic 
    Collapse selected publications
    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.
    List All   |   Timeline
    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.
    Same Department Expand Description