Publications

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B
Blau, S R., L M. Davis, A M. Gorney, C S. Dohse, K D. Williams, J-H Lim, W G. Pfitzner, E Laber, G S. Sawicki, and N J. Olby. "Quantifying center of pressure variability in chondrodystrophoid dogs." Vet J 226 (2017): 26-31.
C
Chen, Qingxia, Donglin Zeng, Joseph G. Ibrahim, Ming-Hui Chen, Zhiying Pan, and Xiaodong Xue. "Quantifying the average of the time-varying hazard ratio via a class of transformations." Lifetime Data Anal 21, no. 2 (2015): 259-79.
G
Goldberg, Yair, and Michael R. Kosorok. "Q-LEARNING WITH CENSORED DATA." Ann Stat 40, no. 1 (2012): 529-560.
L
Laber, Eric B., E Rose, Marie Davidian, and Anastasios A. Tsiatis. Q-Learning. In Wiley StatsRef: Statistics Reference Online. Wiley, 2018.
Lachos, Victor H., Ming-Hui Chen, Carlos A. Abanto-Valle, and Caio L. N. Azevedo. "Quantile regression for censored mixed-effects models with applications to HIV studies." Stat Interface 8, no. 2 (2015): 203-215.
Lin, Dan-Yu, Donglin Zeng, and Zheng-Zheng Tang. "Quantitative trait analysis in sequencing studies under trait-dependent sampling." Proc Natl Acad Sci U S A 110, no. 30 (2013): 12247-52.
O
Ou, Fang-Shu, Donglin Zeng, and Jianwen Cai. "Quantile Regression Models for Current Status Data." J Stat Plan Inference 178 (2016): 112-127.
S
Schulte, Phillip J., Anastasios A. Tsiatis, Eric B. Laber, and Marie Davidian. "Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes." Stat Sci 29, no. 4 (2014): 640-661.
W
Wang, Lan, Yu Zhou, Rui Song, and Ben Sherwood. "Quantile-Optimal Treatment Regimes." J Am Stat Assoc 113, no. 523 (2018): 1243-1254.
Z
Zhang, Chong, Yufeng Liu, and Yichao Wu. "On Quantile Regression in Reproducing Kernel Hilbert Spaces with Data Sparsity Constraint." J Mach Learn Res 17, no. 40 (2016): 1-45.
Zhao, Jingkang, Dongshunyi Li, Jungkyun Seo, Andrew S. Allen, and Raluca Gordân. "Quantifying the Impact of Non-coding Variants on Transcription Factor-DNA Binding." Res Comput Mol Biol 10229 (2017): 336-352.