中文

Faculty

Liang Baosheng

Liang Baosheng

Liang Baosheng

  • Assistant professor
  • liangbs@hsc.pku.edu.cn
  • Xueyuan Road 38, Haidian District, Beijing, China
  • Peking University
Personal profile

Education :

• 08/2016 - 04/2018 The University of Hong Kong, Postdoc in Biostatistics

• 09/2013 - 08/2014 University of North Carolina at Chapel Hill, Joint Training Ph.D in Biostatistics.

• 09/2012 - 06/2016 Beijing Normal University, Ph.D. in Probability Theory & Mathematical Statistics

• 09/2009 - 07/2012 Beijing Normal University, M.S. in Probability Theory & Mathematical Statistics

• 09/2005 - 06/2009 Qingdao University, B.S. in Mathematics and applied mathematics


Main research directions

Biostatistics, Survival analysis, Semiparametric model,Statistical Learning, Causal inference.


Representative scientific research projects

Recurrent-event data analysis, Robust statistics, Incomplete data analysis, Subgroup analysis, Meta analysis, Stacking model, Bayesian additive regression tree


10 representative papers

1. Wen F, Li C., †Liang B.S, You J, Li X, Wang J, Liu H, Wang F, Dong Z, and *Zhang Y. (2024). Efficacy of High-dose-rate Brachytherapy with Different Radiation Source Activities among Cervical Cancer Patients and Risk Factors for Long-term Outcomes: A 6-year Retrospective Study. Brachytherapy, 23: 35–44.

2. Zhou HQ, Wang JY, *Liang BS, Song QQ, Zhou XH (2023) Impact of Comorbidity on the Duration from Symptom Onset to Death in Patients with Coronavirus disease 2019: A retrospective study in Pakistan. Diseases, 11, 176. https://doi.org/10.3390/diseases11040176.                                   

3. Wang, J., Zhou, J., Wu, H., Chen, Y. and *Liang, B.S. (2023) Diagnosis of malignant pleural effusion using tumor-marker combinations: A cost-effectiveness analysis based on stacking model. Diagnostics, 13, 3136.

4. 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: 104733.

5. 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.

6. Liang, B.S., Wu, P., Tong, X. & *Qiu, Y. (2020). Regression and subgroup detection for heterogeneous samples, Computational Statistics. 35, 1853–1878.

7. 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.

8. 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.

9. *Liang BS, Tong X, Zeng DL and Wang YJ (2017). Semiparametric Regression Analysis of Repeated Current Status Data. Statistica Sinica, 27 (3): 1079-1100.

10. *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.