职  称:副教授
研究方向:心理测量、心理统计等
办公电话:0431-85098049
办公地点:心理楼411
电子邮件:dann285@nenu.edu.cn

个人简历

学习及工作经历 1999.09—2003.07 东北师范大学数学与统计学院 数学与应用数学专业 本科 2003.09—2010.12 东北师范大学数学与统计学院 统计学专业 硕博连读 2011.01—2015.08 长春工业大学基础科学学院统计系 讲师 2015.09—2016.08 长春工业大学基础科学学院统计系 副教授 2016.09—至今 东北师范大学心理学院 副教授

社会兼职

  • SCI期刊Psychometrika, JASA等审稿人

获奖情况

  • 第二批“吉林省高校科研春苗人才”称号

教学信息

  • 2017年春季学期 本科生《心理统计学》

科研信息

  • 科研项目:
    1. 国家自然科学基金青年基金项目,含有隐变量的因果结构学习与统计因果推断(11401047),2015/01-2017/12,22万元,主持人.
    2. 国家自然科学基金数学天元青年基金项目,含隐变量因果网的学习及因果推断(11226216),2013/01-2013/12,3万元,主持人.
    3. 吉林省教育厅“十三五”科学研究规划项目,结果变量不完全观测下因果效应的预测(2016315),2016/01-2018/12,5万元,主持人.
    4. 国家自然科学基金面上项目,含潜变量图模型的参数学习和结构学习(11571050),2016/01-2019/12,50万元,排名第二.
    科研论文:
    1. Shan N, Dong XG, Xu PF and Guo JH, Sharp bounds on survivor average causal effects when the outcome is binary and truncated by death, 
    ACM Transactions on Intelligent Systems and Technology, 2016, 7, article 18. (SCI, 中科院JCR一区)
    2. Xu PF, Sun JB and Shan N(通讯作者), Local computations of the iterative proportional scaling procedure for hierarchical models, 
    Computational Statistics & Data Analysis, 2016, 95, 17-23. (SCI, 中科院JCR二区)
    3. Shan N and Xu PF, Bounds on causal effects in randomized trials with noncompliance by covariate adjustment, 
    Biometrical Journal, 2016, 58, 1311-1318. (SCI)
    4. Shan N and Guo JH, Covariate selection for identifying the causal effects of stochastic interventions using causal networks, 
    Journal of Statistical Planning and Inference, 2012, 142, 212-220. (SCI)
    5. Shan N and Dong XG, Identifying the causal effects of stochastic interventions by augmented causal networks, 
    Chinese Journal of Applied Probability and Statistics, 2012, 28, 601-613. (CSCD)
    6. Shan N and Guo JH, Bounds on average controlled direct effects with an unobserved response variable, 
    Journal of Systems Science and Complexity, 2011, 24, 1154-1164. (SCI)
    7. Shan N and Guo JH, Covariate selection for identifying the effects of a particular type of conditional plan using causal networks, 
    Frontiers of Mathematics in China, 2010, 5, 687-700. (SCI)
    8. Guan GY, Shan N and Guo JH, Feature screening for ultrahigh dimensional binary data, accepted by Statistics and Its Interface, 2017. (SCI)
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