Ruohong LiGS, Honglang Wang, Yi Zhao, Jing Su, Wanzhu Tu*. 2023. [Robust estimation of heterogeneous treatment effects: an algorithm-based approach]. Communications in Statistics-Simulation and Computation 52(10), 4981-4998. doi: 10.1080/03610918.2021.1974883. [pdf]
Honglang Wang, Jingyi Zhang, Kelly L. Klump, S. Alexandra Burt, Yuehua Cui*. 2022. [Multivariate partial linear varying coefficients model for gene-environment interactions with multiple longitudinal traits]. Statistics in Medicine 41(19), 3643-3660. doi: 10.1002/sim.9440. [pdf]
Wenzhe Jiao, Lixin Wang*, William K. Smith, Qing Chang, Honglang Wang, Paolo D’Odorico. 2021. [Observed increasing water constraint on vegetation growth over the last three decades]. * Nature Communications* 12(1), 3777. doi: 10.1038/s41467-021-24016-9. [pdf]
Ruohong LiGS, Honglang Wang, Wanzhu Tu*. 2021. [Robust Estimation of Heterogeneous Treatment Effect using Electronic Health Record Data]. Statistics in Medicine 40 (11), 2713-2752. doi: 10.1002/sim.8926. [pdf]
Honglang Wang, Ping-Shou Zhong*, Yuehua Cui. 2018. [Empirical Likelihood Ratio Tests for Coefficients in High Dimensional Heteroscedastic Linear Models]. Statistica Sinica 28, 2409-2433. doi: 10.5705/ss.202017.0041. [pdf]
Honglang Wang, Ping-Shou Zhong*, Yuehua Cui, Yehua Li. 2018. [Unified empirical likelihood ratio tests for functional concurrent linear models and the phase transition from sparse to dense functional data]. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 80.2: 343-364. doi: 10.1111/rssb.12246. [pdf]
Fang Han, Hongkai Ji, Zhicheng Ji, Honglang Wang. 2017. [A provable smoothing approach for high dimensional generalized regression with applications in genomics]. Electronic Journal of Statistics 11(2): 4347-4403. doi: 10.1214/17-EJS1352. [pdf]
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