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马慧娟

个人资料

  • 部门: 经济与管理学部
  • 性别:
  • 专业技术职务: 助理教授
  • 毕业院校:
  • 学位:
  • 学历:
  • 联系电话:
  • 电子邮箱: hjma@fem.ecnu.edu.cn
  • 办公地址: 理科大楼A座1515室
  • 通讯地址: 上海市中山北路3663号
  • 邮编:
  • 传真:

工作经历

2018.10—至今,  华东师范大学,助理教授

2015.08—2018.08, 美国 Emory University, 博士后 

2014.02—2014.05, 香港大学, 研究助理


教育经历

2015年在中国科学技术大学获得博士学位.


个人简介

社会兼职

全国工业统计学教学研究会理事

研究方向

生存分析(Survival Analysis)

分位数回归(Quantile Regression)

半参数非参数模型(Semiparametric and Nonparametric Models)


开授课程

本科生课程:《统计软件》

研究生课程:《统计软件与计算》(专硕)

        《科技论文写作与LaTeX》(学硕)


科研项目

2. 国家自然科学基金青年项目,“带有缺失类型的多类型复发事件数据的半参数回归模型及应用”2020.01-2022.12,

  24万元,项目主持人

1. 上海市浦江人才项目A类,“纵向数据轨迹中潜在变量的分位数回归及其应用”,2019.10-2021.10, 30万元,

  项目主持人

学术成果

期刊论文(*代表通讯作者):

14. Ma, H., Peng, L., Huang, C-Y. and Fu, H. (2020). Heterogeneous individual risk modelling for recurrent events. Biometrika. Accepted.

13. Ma, H., Zhao, W. and Zhou, Y. (2020). Semiparametric model of mean residual life with biased

  sampling data. Computational Statistics and Data Analysis. In press.

12. Ma, H., Peng, L. and Fu, H. (2019). Quantile regression modeling of latent trajectory features

  with longitudinal data. Journal of Applied Statistics. 46: 2884-2904.

11. Ma, H., Shi, J. and Zhou, Y. (2019). Proportional mean residual life model with censored survival

  data under case-cohort design. Statistics and Its Interface. 12: 21-33.

10. Ma, H., Peng, L., Zhang, Z. and Lai, H-C. (2018). Generalized accelerated recurrence time models

  for multivariate recurrent events data with missing event type. Biometrics. 74: 954-965.

9. Fan, C., Ma, H.* and Zhou, Y. (2018). Quantile regression for competing risks analysis under

  case-cohort design. Journal of Statistical Computation and Simulation. 88: 1060-1080. 

8. Shi, J., Ma, H. and Zhou, Y. (2018). The nonparametric quantile estimation for length-biased and

  right censored data. Statistics and Probability Letters. 134: 150-158.

7. Li, Y., Ma, H., Wang, D. and Zhou, Y. (2017). Analyzing the general biased data by additive risk

  model. Science China Mathematics. 60: 685-700.

6. Ma, H.* and Zhou, Y. (2017). Pseudo likelihood for case-cohort studies under length-biased

  sampling. Communications in Statistics-Theory and Methods. 46: 28-48.

5. Ma, H.*, Qiu, Z. and Zhou, Y. (2016). Semiparametric analysis of transformation models with

  length-biased data under case-cohort design. Statistics and Its Interface. 9: 213-222.

4. Tian, G., Ma, H.*, Zhou, Y. and Deng, D. (2015). Generalised endpoint-inflated binomial model.

Computational Statistics and Data Analysis. 89: 97-114. 

3. Ma, H.*, Zhang, F. and Zhou, Y. (2015). Composite estimating equation approach for the additive

  risk model with length-biased and right-censored data. Statistics and Probability Letters

  96: 45-53.

2. 马慧娟, 范彩云和周勇(2015).长度偏差右删失数据下分位数回归的估计方程方法. 中国科学:数学

   45: 1981-2000.

1. 肖鸿民, 马慧娟(2011).负相依重尾索赔条件下损失过程的精细大偏差. 兰州大学学报(自然科学版).

   3: 101-146.


摘要:

4. Zhang, Z., Ma, H., Peng, L., Lai, H-C., and the FIRST Study Group. (2018). Different lung disease

  presentations in infants with Cystic Fibrosis. Pediatric Pulmonology. 53(S2): S329-S329.

3. Ma, H., Peng, L., Zhang, Z., Lai, H-C., and the FIRST Study Group. (2017). Investigating the

  dynamic heterogeneity of weight growth in infants with Cystic Fibrosis through a novel statistical

  analysis. Pediatric Pulmonology. 52(S47): S408-S409.

2. Yang, J., Peng, L., Zhang, Z., Rahman, F, Ma, H., Lai, H-C, and the FIRST Study Group. (2016).

  Joint profile of respiratory infections and their association with breastfeeding in infants

  with Cystic Fibrosis. Pediatric Pulmonology. 51(S45): S327-S327.

1. Zhang, Z., Ma, H., Peng, L, Lai, H-C, and the FIRST Study Group.(2016). Gut microbiota in

  early childhood in Cystic Fibrosis. Pediatric Pulmonology. 51(S45): S325-S325.


荣誉及奖励