Publications

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Journal Article
Lin, Ja-an, Hongtu Zhu, Ahn Mihye, Wei Sun, and Joseph G. Ibrahim. "Functional-mixed effects models for candidate genetic mapping in imaging genetic studies." Genet Epidemiol 38, no. 8 (2014): 680-91.
Li, Tengfei, Fengchang Xie, Xiangnan Feng, Joseph G. Ibrahim, and Hongtu Zhu. "Functional Linear Regression Models for Nonignorable Missing Scalar Responses." Stat Sin 28, no. 4 (2018): 1867-1886.
Laber, Eric B., and Ana-Maria Staicu. "Functional feature construction for individualized treatment regimes." J Am Stat Assoc 113, no. 523 (2017): 1219-1227.
Crews, Hugh B., Dennis D. Boos, and Leonard A. Stefanski. "FSR Methods for Second-Order Regression Models." Comput Stat Data Anal 55, no. 6 (2011): 2026-2037.
Luo, S, R Song, M Styner, J H. Gilmore, and H Zhu. "FSEM: Functional Structural Equation Models for Twin Functional Data." J Am Stat Assoc 114, no. 525 (2019): 344-357.
Carpenter, William R., Anne-Marie Meyer, Amy P. Abernethy, Til Stürmer, and Michael R. Kosorok. "A framework for understanding cancer comparative effectiveness research data needs." J Clin Epidemiol 65, no. 11 (2012): 1150-8.
Bhattacharya, Arjun, Montserrat García-Closas, Andrew F. Olshan, Charles M. Perou, Melissa A. Troester, and Michael I. Love. "A framework for transcriptome-wide association studies in breast cancer in diverse study populations." Genome Biol 21, no. 1 (2020): 42.
Yuan, Ying, John H. Gilmore, Xiujuan Geng, Styner Martin, Kehui Chen, Jane-ling Wang, and Hongtu Zhu. "FMEM: functional mixed effects modeling for the analysis of longitudinal white matter Tract data." Neuroimage 84 (2014): 753-64.
Chen, Liddy M., Joseph G. Ibrahim, and Haitao Chu. "Flexible stopping boundaries when changing primary endpoints after unblinded interim analyses." J Biopharm Stat 24, no. 4 (2014): 817-33.
Lachos, Victor H., Larissa A. Matos, Luis M. Castro, and Ming-Hui Chen. "Flexible longitudinal linear mixed models for multiple censored responses data." Stat Med 38, no. 6 (2019): 1074-1102.
Kong, Dehan, Joseph G. Ibrahim, Eunjee Lee, and Hongtu Zhu. "FLCRM: Functional linear cox regression model." Biometrics 74, no. 1 (2018): 109-117.
Ibrahim, Joseph G., Hongtu Zhu, Ramon I. Garcia, and Ruixin Guo. "Fixed and random effects selection in mixed effects models." Biometrics 67, no. 2 (2011): 495-503.
Chow, Sy-Miin, Zhaohua Lu, Andrew Sherwood, and Hongtu Zhu. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation-Maximization (SAEM) Algorithm." Psychometrika 81, no. 1 (2016): 102-34.
Li, Zhiguo, and Kouros Owzar. "Fitting Cox Models with Doubly Censored Data Using Spline-Based Sieve Marginal Likelihood." Scand Stat Theory Appl 43, no. 2 (2016): 476-486.
Dasgupta, Sayan, Yair Goldberg, and Michael R. Kosorok. "FEATURE ELIMINATION IN KERNEL MACHINES IN MODERATELY HIGH DIMENSIONS." Ann Stat 47, no. 1 (2019): 497-526.
Lin, Jiaxing, Alexander Sibley, Ivo Shterev, Andrew Nixon, Federico Innocenti, Cliburn Chan, and Kouros Owzar. "fastJT: An R package for robust and efficient feature selection for machine learning and genome-wide association studies." BMC Bioinformatics 20, no. 1 (2019): 333.
Marceau, Rachel, Wenbin Lu, Shannon Holloway, Michèle M. Sale, Bradford B. Worrall, Stephen R. Williams, Fang-Chi Hsu, and Jung-Ying Tzeng. "A Fast Multiple-Kernel Method With Applications to Detect Gene-Environment Interaction." Genet Epidemiol 39, no. 6 (2015): 456-68.
Chang, S-M, J-Y Tzeng, and R-B Chen. "Fast Bayesian Variable Screenings for Binary Response Regressions with Small Sample Size." J Stat Comput Simul 87, no. 14 (2017): 2708-2723.
Xie, Jichun, and Ruosha Li. "False discovery rate control for high dimensional networks of quantile associations conditioning on covariates." J R Stat Soc Series B Stat Methodol 80, no. 5 (2018): 1015-1034.
Ghosh, Lipika, Jiancheng Jiang, Yanqing Sun, and Haibo Zhou. "Failure time regression with continuous informative auxiliary covariates." J Stat Distrib Appl 2 (2015): 2.
Zhu, Hongtu, Linglong Kong, Runze Li, Martin Styner, Guido Gerig, Weili Lin, and John H. Gilmore. "FADTTS: functional analysis of diffusion tensor tract statistics." Neuroimage 56, no. 3 (2011): 1412-25.
Post, Justin B., and Howard D. Bondell. "Factor selection and structural identification in the interaction ANOVA model." Biometrics 69, no. 1 (2013): 70-9.
Sibley, Alexander, Zhiguo Li, Yu Jiang, Yi-Ju Li, Cliburn Chan, Andrew Allen, and Kouros Owzar. "Facilitating the Calculation of the Efficient Score Using Symbolic Computing." Am Stat 72, no. 2 (2018): 199-205.