1. Jin, S., Qin, D., Liang, B.S, Zhang, L., Wei, X., Wang, Y., Zhuang, B., Zhang, T., Yang, Z., Cao, Y., Jin, S., Yang, P., Jiang, B., Rao, B., Shi, H., Lu, Q. (2022). Machine learning predicts cancer-associated deep vein thrombosis using clinical available variables. International Journal of Medical Informatics. 161(2022)104733.
2. Zhang, Y., La, B., Liang, B. S., Gu, Y. C. (2021) Treatment-Related Adverse Events with PD-1 or PD-L1 Inhibitors: A Systematic Review and Meta-Analysis. Life, 11, 1277. https:// 10.3390/ life11111277.
3. Jiang, Q., Xia, Y., and Liang, B.S. (2021). Matching Distributions for Survival Data. Canadian Journal of Statistics. https://doi.org/10.1002/cjs.11641.
4. Liang, B.S., Wu, P., Tong, X. & Qiu, Y. (2020). Regression and subgroup detection for heterogeneous samples, Computational Statistics. 35, 1853–1878.
5. Qiu YP, and Liang BS (2019). Robust logistic regression of family data in the presence of missing genotypes. Journal of Applied Statistics. 46 (5): 926-945.
6. Liang BS, Wang YJ, and Zeng DL (2018). Semiparametric Transformation Models with Multi-level Random Effects for Correlated Disease Onset in Families. Statistica Sinica. 29 (4): 1851-1871.
7. Li B, Liang BS, Tong XW and Sun JG (2018). Rank Estimation of Partially Linear Transformation Models with Censored Data. Statistica Sinica. 29 (4): 1963-1975.
8. Liang BS, Tong X, Zeng DL and Wang YJ (2017). Semiparametric Regression Analysis of Repeated Current Status Data. Statistica Sinica, 27 (3): 1079-1100.
9. Wang YJ, Liang BS, Tong XW, Marder K, Bressman S, Orr-urtreger A, Giladi N and Zeng DL (2015). Efficient Estimation of Nonparametric Genetic Risk Function with Censored Data. Biometrika, 102 (3): 515-532.
10. Liang BS, Tong XW, and Hu T (2015). Spline-based Sieve Estimation in Monotone Constrained Varying-coefficient Partially Linear EV Model. Statistics and Probability Letters, 103:169-175.