Hongtu Zhu

Columbia University, New York, NY 
Biostatistics Biology
"Hongtu Zhu"
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Pietrosanu M, Shu H, Jiang B, et al. (2021) Estimation for the bivariate quantile varying coefficient model with application to diffusion tensor imaging data analysis. Biostatistics (Oxford, England)
Zhao B, Ibrahim JG, Li Y, et al. (2021) Corrigendum to: Heritability of regional brain volumes in large-scale neuroimaging and genetic studies. Cerebral Cortex (New York, N.Y. : 1991)
Yang H, Zhu H, Ahn M, et al. (2021) Weighted functional linear Cox regression model. Statistical Methods in Medical Research. 9622802211012015
Zhao B, Li T, Yang Y, et al. (2021) Common genetic variation influencing human white matter microstructure. Science (New York, N.Y.). 372
Zhao B, Shan Y, Yang Y, et al. (2021) Transcriptome-wide association analysis of brain structures yields insights into pleiotropy with complex neuropsychiatric traits. Nature Communications. 12: 2878
Dentro SC, Leshchiner I, Haase K, et al. (2021) Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes. Cell
Feng X, Li T, Song X, et al. (2020) Bayesian Scalar on Image Regression With Nonignorable Nonresponse. Journal of the American Statistical Association. 115: 1574-1597
Kong D, An B, Zhang J, et al. (2020) L2RM: Low-rank Linear Regression Models for High-dimensional Matrix Responses. Journal of the American Statistical Association. 115: 403-424
Liu LY, Liu Y, Zhu H. (2020) Masked convolutional neural network for supervised learning problems. Stat. 9
Shu H, Wang X, Zhu H. (2020) D-CCA: A Decomposition-based Canonical Correlation Analysis for High-Dimensional Datasets. Journal of the American Statistical Association. 115: 292-306
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