Published/Accepted (* Students or postdocs; # Corresponding author if not the first author)
[50] Kevin Zhang*, Junhao Zhu*, Dehan Kong# and Zhaolei Zhang#. (2024+). Modelling Single Cell Trajectory Using Forward Backward Stochastic Differential Equations. PLOS Computational Biology, to appear.
[49] Ying Zhou*, Dingke Tang*, Dehan Kong and Linbo Wang (2024+). Promises of Parallel Outcomes. Biometrika, to appear.
(IMS Hannan Graduate Student Travel Award)
[48] Xingcai Zhou, Dehan Kong, Matthew Pietrosanu, Linglong Kong, Rohana Karunamuni. (2024+). Empirical likelihood M-estimation for the varying-coefficient model with a functional response. Scandinavian Journal of Statistics, to appear.
[47] Alyssa Paoletti, Paul B. Pencharz, Mahroukh Rafii, Christopher Tomlinson, Dehan Kong, Libai Xu*, Rajavel Elango, and Glenda Courtney-Martin. (2024+).
Protein intake affects erythrocyte glutathione synthesis in healthy adults aged ≥60 years in a repeated-measures trial. American Journal of Clinical Nutrition, to appear.
[46] Xinyi Zhang*, Qiang Sun and Dehan Kong#. (2024). Supervised Principal Component Regression for Functional Data with High Dimensional Predictors. Journal of Computational and Graphical Statistics, 33(1), 242-249.
(ASA Nonparametric Statistics Section Student Paper Awards Finalist)
[45] Sylwia Szwiega, Libai Xu*, Mahroukh Rafii, Paul B. Pencharz, Dehan Kong, Christopher Tomlinson, Rajavel Elango, and Glenda Courtney-Martin. (2024). Protein intakes affects erythrocyte glutathione synthesis in young healthy adults in a repeated-measures trial. American Journal of Clinical Nutrition, 119(2), 371-383.
[44] Zhenhua Lin, Dehan Kong and Linbo Wang. (2023). Causal Inference on Distribution Functions. Journal of the Royal Statistical Society: Series B, 85(2), 378-398.
[43] Yichi Zhang*, Weining Shen and Dehan Kong#. (2023). Covariance Estimation for Matrix-valued Data. Journal of the American Statistical Association, 118(544), 2620-2631.
(ENAR Distinguished Student Paper Awards)
(IMS Hannan Graduate Student Travel Award)
[42] Xingcai Zhou, Dehan Kong, Adam B. Kashlak, Linglong Kong, Rohana Karunamuni and Hongtu Zhu. (2023) Functional Response Quantile Regression Model. Statistica Sinica, 33, 1-25.
[41] Dianna Yanchis, Stephanie So, Catherine Patterson, Christina Belza, Elizabeth Garofalo, Sylvia Wong-Sterling, Carina Silva, Yaron Avitzur, Paul W. Wales, Jessie M. Hulst, Dehan Kong, Libai Xu*, Glenda Courtney-Martin. (2023) Assessment of body composition in pediatric intestinal failure: A comparison study. Journal of Parenteral and Enteral Nutrition, 47 (7), 920-929.
[40] Sylwia Szwiega, Paul B. Pencharz, Ronald O. Ball, Dehan Kong, Libai Xu*, Rajavel Elango and Glenda Courtney-Martin. (2023). The dietary requirement for total sulphur amino acids in adults ≥60 years appears higher in males than in females. American Journal of Clinical Nutrition, 118(3), 538-548.
[39] Dianna Yanchis, , Stephanie So, Catherine Patterson, Christina Belza, Elizabeth Garofalo, Sylvia Wong-Sterling, Carina Silva, Yaron Avitzur, Paul W. Wales, Jessie M. Hulst, Dehan Kong, Libai Xu*, Yuxuan Li, Glenda Courtney-Martin. (2023) Body composition and physical activity in pediatric intestinal failure on and off parenteral nutrition. Journal of Pediatric Gastroenterology and Nutrition, 77(4), 558-564.
[38] Alyssa Paoletti, Paul B Pencharz, Ronald O Ball, Dehan Kong, Libai Xu*, Rajavel Elango, Glenda Courtney-Martin. (2023). The Minimum Methionine Requirement for Adults Aged$\geq$ 60 Years Is the Same in Males and Females. Nutrients, 15(19):4112.
[37] Sylwia Szwiega, Paul B. Pencharz, Ronald O. Ball, Libai Xu*, Dehan Kong, Rajavel Elango and Glenda Courtney-Martin. (2023). Length of adaptation has no effect on the threonine requirement determined in healthy young males using the indicator amino acid oxidation method. Journal of Nutrition, 153(7), 2016-2026.
[36] Libai Xu*, Dehan Kong, Lidan Wang, Hong Gu, Tobias Kenney and Ximing Xu (2023). Proportional Stochastic Generalized Lotka-Volterra Model with An Application to Learning Microbial Community Structures. Applied Mathematics and Computation, 448, 127932.
[35] Dingke Tang*, Dehan Kong, Wenliang Pan and Linbo Wang. (2023). Ultra-high dimensional variable selection for doubly robust causal inference. Biometrics, 79(2), 903-914.
[34] Lizbeth J. Ayoub, Junhao Zhu*, Steven Lee, Nancy Mugisha, Kyle Patel, Emma G. Duerden, Jennifer Stinson, Madeleine Verriotis, Melanie Noel, Dehan Kong, Massieh Moayedi, Mary Pat McAndrews. (2023) Age-related effects on the anterior and posterior hippocampal volumes in 6-21 year olds: a model selection approach. Hippocampus, 33(1):37-46.
[33] Dengdeng Yu*, Linbo Wang, Dehan Kong# and Hongtu Zhu. (2022). Mapping the Genetic-Imaging-Clinical Pathway with Applications to Alzheimer's Studies. Journal of the American Statistical Association, 117(540), 1656-1658.
[32] Yang Zhou, Mark Koudstall*, Dengdeng Yu*, Dehan Kong and Fang Yao (2022). Nonparametric Principal Subspace Regression. Journal of Machine Learning Research, 23(237), 1-28.
[31] Dehan Kong, Shu Yang and Linbo Wang (2022). Identifiability of causal effects with multiple causes and a binary outcome. Biometrika, 109(1), 265-272.
[30] Alyssa Paoletti, Abrar Fakiha, Zujaja Tul-Noor, Paul B Pencharz, Crystal L Levesque, Ronald O Ball, Dehan Kong, Rajavel Elango and Glenda Courtney-Martin. (2022) Bioavailable Lysine Assessed Using the Indicator Amino Acid Oxidation Method in Healthy Young Males is High when Sorghum is Cooked by a Moist Cooking Method. Journal of Nutrition, 152(3), 770-778.
[29] Meiling Hao, Lianqiang Qu, Dehan Kong, Liuquan Sun and Hongtu Zhu. (2021). Optimal Minimax Variable Selection for Large-Scale Matrix Linear Regression Model. Journal of Machine Learning Research, 22(147), 1-39.
[28] Wei Hu*, Tianyu Pan, Dehan Kong and Weining Shen. (2021). Nonparametric Matrix Response Regression with Application to Brain Imaging Data Analysis. Biometrics, 77(4), 1227-1240.
[27] Xiucai Ding, Dengdeng Yu*, Zhengwu Zhang, Dehan Kong#. (2021). Multivariate Functional Responses Low Rank regression with an Application to Brain Imaging Data. Canadian Journal of Statistics (Invited paper for Special Issue in Neuroimaging Data Analysis), 49(1), 150-181.
[26] Biao Han, Qing Li, Chao Wang, Prashant Chandrasekaran, Ying Zhou*, Ling Qin, X. Sherry Liu, Motomi Enomoto-Iwamoto, Dehan Kong, Renato V. Iozzo, David E. Birk, and Lin Han (2021). Differentiated Activities of Decorin and Biglycan in the Progression of Post-Traumatic Osteoarthritis. Osteoarthritis and Cartilage, 29(8), 1181-1192.
[25] Cory R. Weissman, Itay Hadas, Dengdeng Yu*, Brett Jones, Dehan Kong, Benoit H. Mulsant, Daniel M. Blumberger, Zafiris J. Daskalakis. (2021). Predictors of change in suicidality across treatment phases of major depressive disorder (MDD): Secondary analysis of the STAR*D study. Neuropsychopharmacology, 46(7), 1293-1299.
[24] Sylwia Szwiega, Paul B. Pencharz, Mahroukh Rafii, Mackenzie Lebarron, Jessica Chang, Ronald O. Ball, Dehan Kong, Libai Xu*, Rajavel Elango and Glenda Courtney-Martin. (2021). Dietary leucine requirement of older men and women is higher than current recommendations. American Journal of Clinical Nutrition, 113(2), 410-419.
[23] Daphney R. Chery, Biao Han, Ying Zhou*, Chao Wang, Sheila M. Adams, Prashant Chandrasekaran, Bryan Kwok, Su-Jin Heo, Motomi Enomoto-Iwamoto, X. Lucas Lu, Dehan Kong, Renato V. Iozzo, David E. Birk, Robert L. Mauck and Lin Han. (2021). Decorin regulates cartilage pericellular matrix micromechanobiology. Matrix Biology, 96, 1-17.
[22] Ying Liu, Chu Pan, Dehan Kong, Jiawei Luo, Zhaolei Zhang. (2020). A Survey of Regulatory Interactions among RNA Binding Proteins and MicroRNA in Cancer. Frontiers in Genetics, 11.
[21] Daphney R. Chery, Biao Han, Qing Li, Ying Zhou*, Su-Jin Heo, Bryan Kwok, Prashant Chandrasekaran, Chao Wang, Ling Qin, X. Lucas Lu, Dehan Kong, Motomi Enomoto-Iwamoto, Robert L. Mauck and Lin Han. (2020). Early changes in cartilage pericellular matrix micromechanobiology portend the onset of post-traumatic osteoarthritis. Acta Biomaterialia, 111, 267-278.
[20] Wei Hu*, Weining Shen, Hua Zhou and Dehan Kong#. (2020). Matrix Linear Discriminant Analysis. Technometrics, 62(2), 196-205.
[19] Dehan Kong, Baiguo An, Jingwen Zhang and Hongtu Zhu. (2020). L2RM: Low-rank Linear Regression Models for High-dimensional Matrix Responses. Journal of the American Statistical Association, 115(529), 403-424. (Code)
[18] Indranil Balki, Afsaneh Amirabadi, Jacob Levman, Anne L Martel, Ziga Emersic, Blaz Meden, Angel Garcia-Pedrero, Saul C Ramirez, Dehan Kong, Alan Moody and Pascal N. Tyrrell. (2019) Sample Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review. Canadian Association of Radiologists Journal, 70(4), 344-353.
[17] Dehan Kong, Arnab Maity, Fang-Chi Hsu and Jung-Ying Tzeng. (2018). Rejoinder to "A note on testing and estimation in marker-set association study using semiparametric quantile regression kernel machine". Biometrics, 74(2), 767-768.
[16] Dehan Kong, Howard Bondell and Weining Shen. (2018). Outlier Detection and Robust Estimation in Nonparametric Regression. International Conference on Artificial Intelligence and Statistics (AISTATS), 208-216.
[15] Dehan Kong, Howard Bondell and Yichao Wu. (2018). Fully Efficient Robust Estimation, Outlier Detection and Variable Selection via Penalized Regression. Statistica Sinica, 28, 1031-1052.
[14] Dehan Kong, Joseph Ibrahim, Eunjee Lee and Hongtu Zhu. (2018). FLCRM: Functional Linear Cox Regression Model. Biometrics, 74(1), 109-117.
[13] Chao Huang, Paul Thompson, Yalin Wang, Yang Yu, Jingwen Zhang, Dehan Kong, Rebecca C Knickmeyer, Rivka R. Colen and Hongtu Zhu. (2017). FGWAS: Functional Genome Wide Association Analysis. NeuroImage, 159, 107-121.
[12] Dehan Kong. (2017). Comment on Random-projection Ensemble Classification. Journal of the Royal Statistical Society: Series B, 79(4), 1014.
[11] Eunjee Lee, Kelly S. Giovanello, Andrew J. Saykin, Dehan Kong, Yue Wang, Liuqing Yang, Joseph G. Ibrahim, Murali P. Doraiswamy and Hongtu Zhu. (2017). Single-nucleotide polymorphisms are associated with cognitive decline at Alzheimer’s disease conversion within mild cognitive impairment patients. Alzheimer's and Dementia: Diagnosis, Assessment and Disease Monitoring, 8, 86-95.
[10] Dehan Kong, Kaijie Xue, Fang Yao and Helen Zhang. (2016). Partially Functional Linear Regression in High Dimensions. Biometrika, 103(1): 147-159.
[9] Dehan Kong, Arnab Maity, Fang-Chi Hsu and Jung-Ying Tzeng. (2016). Testing and Estimation in Marker-Set Association Study Using Semiparametric Quantile Regression Kernel Machine. Biometrics, 72(2), 364-371.
[8] Dehan Kong, Ana-Maria Staicu and Arnab Maity. (2016). Classical Testing in Functional Linear Models. Journal of Nonparametric Statistics, 28(4): 813-838.
[7] Genevera Allen, ... , Dehan Kong, ... , Shanfeng Zhu. (2016). Crowdsourced Estimation of Cognitive Decline and Resilience in Alzheimer's Disease. Alzheimer's and Dementia, 12(6): 645-653.
[6] Weining Shen and Dehan Kong. (2016). Comment on Statistical Modeling of Citation Exchange between Statistics Journals. Journal of the Royal Statistical Society: Series A, 179(1): 56.
[5] Eunjee Lee, Hongtu Zhu, Dehan Kong, Yalin Wang, Kelly Giovanello and Joseph Ibrahim. (2015). BFLCRM: A Bayesian functional linear Cox regression model for predicting time to conversion to Alzheimer's disease. Annals of Applied Statistics, 9(4): 2153-2178.
[4] Dehan Kong, Howard Bondell and Yichao Wu. (2015). Domain Selection for the Varying Coefficient Model via Local Polynomial Regression. Computational Statistics & Data Analysis, 83: 236-250.
[3] Dehan Kong, Kelly S. Giovanello, Yalin Wang, Weili Lin, Eunjee Lee, Yong Fan, Murali P. Doraiswamy and Hongtu Zhu. (2015). Predicting Alzheimer's Disease using Combined Imaging-whole Genome SNP Data. Journal of Alzheimer's Disease, 46(3): 695-702.
[2] Yazhong Tao, Xin Zhang, Manisha Chopra, Ming-Jeong Kim, Kinnari R. Buch, Dehan Kong, Jianping Jin, Yunan Tang, Hongtu Zhu, Valerie Jewells and Silva Markovic-Plese. (2014). The role of endogenous IFN-β in the Regulation of Th17 Responses in Patients with Relapsing-Remitting Multiple Sclerosis. The Journal of Immunology, 192(12): 5610-5617.
[1] Dehan Kong and Qiang Sun. (2014). Comment on Multiscale Change-Point Inference. Journal of the Royal Statistical Society: Series B, 76(3): 557-559.
Selected Preprints
Yichi Zhang*, Dehan Kong and Shu Yang. (2024+). Towards R-learner of conditional average treatment effects with a continuous treatment: T-identification, estimation, and inference.
(ASA Nonparametric Statistics Section Student Paper Awards Finalist)
Xinyi Zhang*, Linbo Wang, Stanislav Volgushev and Dehan Kong#. (2024+). Fighting Noise with Noise: Causal Inference with Many Candidate Instruments.
Peijun Sang, Dehan Kong and Shu Yang. (2024+). Functional principal component analysis for longitudinal observations with sampling at random.
Dingke Tang*, Dehan Kong and Linbo Wang. (2024+). The synthetic instrument: From sparse association to sparse causation.
Libai Xu*, Nancy Reid and Dehan Kong. (2024+). Gaussian variational approximation with composite likelihood for crossed random effect models.
Junhao Zhu*, Kevin Zhang*, Dehan Kong# and Zhaolei Zhang#. (2024+). LLOT: application of Laplacian Linear Optimal Transport in spatial transcriptome reconstruction.
(ENAR Distinguished Student Paper Awards)
Junhao Zhu*, Dehan Kong, Zhaolei Zhang and Zhenhua Lin. (2024+). Stationarity of Manifold Time Series.
(IMS Hannan Graduate Student Travel Award)