统计与大数据研究院在统计学与生命健康交叉领域发表多篇高水平论文

研究院2020年以来在统计学与生命健康交叉领域发文情况

01  Wei Ma, Yichen Qin, Yang Li, and Feifang Hu (2020). Statistical inference for covariate-adaptive randomization procedures. Journal of the American Statistical Association. 115:531, 1488-1497

02  Le Bao, Changcheng Li, Runze Li, and Songshan Yang (2022). Causal structural learning on MPHIA individual dataset. Journal of the American Statistical Association. 117:540, 1642-1655

03  Wei Ma, Ping Li, Li-Xin Zhang, and Feifang Hu (2022). A new and unified family of covariate adaptive randomization procedures and their properties. Journal of the American Statistical Association. Published online

04  Hanzhong Liu, Fuyi Tu, and Wei Ma (2022). Lasso-adjusted treatment effect estimation under covariate-adaptive randomization. Biometrika. 110:2, 431-447

05  Yuqian Zhang, Jelena Bradic (2022). High-dimensional semi-supervised learning: in search of optimal inference of the mean. Biometrika. 109:2, 387-403

06  Tong Wang, Wei Ma (2021). The impact of misclassification on covariate-adaptive randomized clinical trials. Biometrics. 77:2, 451-464

07  Xiangyu Luo, Joel Schwartz, Andrea Baccarelli, and Zhonghua Liu (2021). Testing cell-type-specific mediation effects in genome-wide epigenetic studies. Briefings in Bioinformatics. 22:3

08  Yang Li, Wei Ma, Yichen Qin, and Feifang Hu (2021). Testing for treatment effect in covariate-adaptive randomized trials with generalized linear models and omitted covariates. Statistical Methods in Medical Research. 30:9, 2148-2164

09  Fangting Zhou, Kejun He, Qiwei Li, Robert. S. Chapkin, and Yang Ni (2022). Bayesian biclustering for microbial metagenomic sequencing data via multinomial matrix factorization. Biostatistics. 23, 891-909

10  Qiuyu Wu, Xiangyu Luo (2022). Estimating heterogeneous gene regulatory networks from zero-inflated single-cell expression data. The Annals of Applied Statistics. 16, 2183-2200.

11  Wei Ma, Mengxi Wang, and Hongjian Zhu (2022). Seamless phase II/III clinical trials with covariate adaptive randomization. Statistica Sinica. 32:2, 1079-1098.

12  Qiuyu Wu, Xiangyu Luo (2022). Nonparametric Bayesian two-level clustering for subject-level single-cell expression data. Statistica Sinica. 32, 1835-1856

13  Yinqiao Yan, and Xiangyu Luo (2022). Bayesian tree-structured two-level clustering for nested data analysis.Journal of Computational and Graphical Statistics, Accepted

14  Jinge Yu, Xiangyu Luo (2022). Identification of cell-type-specific spatially variable genes accounting for excess zeros. Bioinformatics. 38:17, 4135-4144

15  Wei Ma, Fuyi Tu, and Hanzhong Liu (2022). Regression analysis for covariate-adaptive randomization: A robust and efficient inference perspective. Statistics in Medicine. 41:29, 5645-5661

16  Fangting Zhou, Kejun He, and Yang Ni (2023). Individualized causal discovery with latent trajectory embedded Bayesian networks. Biometrics, Accepted

17  Gu Y, Liu H and Ma W. (2023). Regression‐based multiple treatment effect estimation under covariate‐adaptive randomization. Biometrics, Accepted