Research interests

课题组现有助理教授1名、博士生3名、硕士生2名。

“师泽如光，微以致远”，课题组负责人韩莎莎教授爱护学生，治学严谨，待人真诚，处事谦虚。

“桃李不言，下自成蹊”，课题组氛围和谐融洽、积极向上，注重团队合作和互相学习、不断进步与创新，同时课题组成员也注重将研究成果应用到实际问题中，为实际问题得解决提供科学依据。成员具有交叉学科背景。

我们热诚欢迎国内外研究团队与本课题组开展合作研究，也欢迎热爱医学科学研究、有团队合作精神、中英文交流能力良好的青年学子报考本课题组研究生，也欢迎志同道合的青年博士来本课题组开展博士后研究工作。理工科本科背景优先考虑。

(2024新春团拜会团队成员和龙龙合照)

团队成员：

马雪迪，学术型博士

合作导师：王辰

研究方向：采用因果推断测量卫生资源利用情况

邮箱：xuedim@outlook.com

陈王跃，学术型博士

研究方向：增龄健康及共病指标体系构建研究

邮箱：chenwangtiao@pumc.edu.cn

柯嘉雯，直博研究生，目前处于硕士生培养阶段。

合作导师：邵瑞太

研究方向：大数据分析在复杂干预措施效果评估中的应用

邮箱：kkjw6137@163.com

周书雅，学术型硕士

研究方向：大数据分析及人工智能方法在医学研究中的应用

邮箱：shuyaz2000@pumc.edu.cn

沈木子，专业型硕士

研究方向：大数据分析在医疗健康场景中的应用

邮箱：muzishen@pumc.edu.cn

Grants and Funds

1. 国家自然科学基金青年科学基金项目，面向老龄人群数字健康照护的因果优化方法和应用研究（项目编号：8230122139；项目起止年月：2024.01-2026.12；项目资金：30万元），项目负责人。

    PI, National Natural Science Foundation of China Youth Science Fund Project. Causal inference and optimization methods research for digital health care for the elderly (No. 8230122139, Jan 2024- Dec 2026, 30 million RMB).

2. 中国医学科学院医学与健康科技创新工程医学健康领军科技人才养募专项，基于现实世界大数据的最优数字医疗健康照护干预模型研究（项目编号：2023-I2M-3-008；项目起止年月：2023.04- 2028.03 ；项目资金：500万元），项目负责人。

  PI, Chinese Academy of Medical Sciences Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences. Research on the optimal digital health care model based on real-world big data (No. 2023-I2M-3-008, Apr 2023- March 2028, 500 million RMB).

3. 十四五国家重点研发计划, 面向药品现代化监管的智能化服务平台研发与应用，（项目编号：2021YFF0901400；项目起止年月：2021.11-2024.11； 项目资金：5976万元），骨干参与成员

  Key participation, National Key Research & Development. Development and application of intelligent service platform for modern drug supervision (No. 2021YFF0901400, Dec 2021- Nov 2024, 597.6 million RMB).

Current projects

1. 增龄健康照护负担评估方法及模型研究

2. 共病照护需求分析和模式构建

3. 面向最优照护的精准用药干湿数据融合建模研究

4. 医疗健康照护系统运营管理优化研究

5. 数字健康照护技术现实世界适用及推广研究

2024 年

1. Peng Wu#, Shasha Han#, Xingwei tong, Runze Li* . Propensity score regression for causal inference with treatment heterogeneity. Statistica Sinica. 2024,34(2). (IF = 1.3)

2. Shasha Han, Joel Goh*, Melvin Khee-Shing Leow, Donald Rubin. Contrast-specific propensity scores for causal inference with multiple interventions. Statistical Methods in Medical Research. 2024. Accepted. (IF = 2.5)

2023 年

1. Shasha Han#*, Binbin Su#, Yihao Zhao, Chen Chen, Xiaoying Zheng*. Widening rural–urban gap in life expectancy in China since COVID-19. BMJ Global Health. 2023;8:e012646. (IF =8.1)

2. Yamin Deng#, Shasha Han#, Jue Liu, Li Guo, Luzhao Feng, Yilan Liao, Zhixing Peng, Lili Ren*, Weizhong Yang*, Jianwei Wang*.The risks of death and hospitalizations associated with SARS-CoV-2 Omicron declined after lifting testing and quarantining measures. Journal of Infection. 2023:86(5): e123-e125. (IF =28.2)

3. Zhihui Yang#, Shasha Han#, Peng Wu#, Mingyue Wang, Ruoyu Li, Xiao-Hua Zhou*, Hang Li*. Modeling post-treatment prognosis of skin lesions in psoriasis: A large cohort study in China. JAMA Network Open. 2023: 6(4): e236795-e236795. (IF =13.8)

4. Shasha Han#, Ting Zhang#, Yan Lyu#, Shengjie Lai, Peixi Dai, Jiandong Zheng, Weizhong Yang, Xiao-Hua Zhou*, Luzhao Feng*. Influenza’s plummeting during the COVID-19 pandemic: The roles of mask wearing, mobility change and SARS-CoV-2 interference. Engineering. 2023;2(1): 195-202. (IF =12.8)

5. Shasha Han, Xiao-Hua Zhou*. Defining estimands in clinical trials: A unified procedure. Statistics in Medicine. 2023;42(12): 1869-1887. (IF = 2.5)

6. 韩莎莎*, 吴鹏, 王则一, 崔逸凡, 杨浩翔, 周正元, Larry Han, 杨林, 贾金柱, 邵瑞太*, 王辰. 基于群数据科学研究的报告规范: TRIPOD-Cluster指南清单解读及拓展. 数字医学与健康, 2023:1(1).

2023年之前

1. Shasha Han, Xiao-Hua Zhou. (2022). Causal Inference in Biostatistics. In: Lu, H.HS., Schölkopf, B., Wells, M.T., Zhao, H. (eds) Handbook of Statistical Bioinformatics. Springer Handbooks of Computational Statistics. Springer, Berlin, Heidelberg. 

2. Shasha Han, Libing Ma*. Data-driven integrated care pathways: Standardization of delivering patient-centered care. Frontiers in medicine. 2022;9: 883874.(IF = 5.1)

3. Shasha Han, Libing Ma, Ting Zhang, Luzhao Feng, Weizhong Yang, Xiaoying Zheng*. City-Specific Effects of Lifting Mobility Restrictions—China, February–March 2020.China CDC Weekly. 2022;4(3): 673-679. 

4. Shasha Han#, Jun Cai#, Juan Yang,Juanjuan Zhang,Qianhui Wu, Wen Zheng, Huilin Shi,MarcoA jelli, Xiao-HuaZhou*, Hongjie Yu*. Time-varying optimization of COVID-19 vaccine prioritization in the context of limited vaccination capacity. Nature Communications. 2021; 12: 4673. (IF = 17.7)

5. Shasha Han#, Ting Zhang#, Yan Lyu#, Shengjie Lai, Peixi Dai, Jiandong Zheng, Weizhong Yang, Xiao-Hua Zhou*, Luzhao Feng*. The Incoming Influenza Season - China, the United Kingdom, and the United States, 2021-2022. China CDC Weekly. 2021;2(1): 195-202. 

6. Shasha Han*, Donald Rubin. Contrast-specific propensity scores. Biostatistics & Epidemiology. 2021:1-8.

7. Shasha Han, Tait Shanafelt, Christine Sinsky, Karim Awad,Liselotte Dyrbye, Lynne Fiscus, MickeyTrockel, Joel Goh* Estimating the attributable cost of physician burnout in the United States. Annals of Internal Medicine. 2019: 170 (11):784–790 (IF = 39.2, C100, ESI, R, ProQuest High Attention Score, 被200多家海外媒体报道,被经济合作与发展组织健康工作指南 OECD Health Working Paper No.130 引用).

（注释：#共同一作，*通讯作者。）