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中国人民大学统计学院导师教师师资介绍简介-林存洁

本站小编 Free考研考试/2020-04-17

林存洁 职 称:副教授


职 务:无


电子邮箱: lincunjie@ruc.edu.cn
工作经历
2014.09至今 中国人民大学统计学院
基金项目
1. 复杂数据下治疗影响的半参数统计推断及其应用,国家自然科学基金项目青年科学基金,**,2018—2020,主持
2. 复杂数据下治疗影响的统计推断问题,中国人民大学科学研究基金,15XNF025,2015-2016,主持
3. 缺失数据下分位数回归的模型平均研究和应用,中国人民大学科学研究基金面上项目,19XNB014,2019-2021,主持
4. 复杂数据下半参数分位数回归的模型平均研究和应用,国家统计局重点项目,2019K20265,2019-2021,主持
开设课程
本科课程: 回归分析 、多元统计分析
研究生课程:生存分析 、生物统计模型选讲 、高等概率论
研究方向
生物统计,数理统计,生存分析,复杂数据分析
论文成果
1. Lin, C.* and Zhou, Y. (2014). Inference for the treatment effects in two sample problems with right-censored and length-biased Data. Statistics and Probability Letters, 90:17-24.
2. Lin, C.* and Zhou, Y. (2014). Analyzing right-censored and length-biased data with varying-coefficient transformation Model. Journal of Multivariate Analysis, 130: 45-63.
3. Lin, C.*, Zhang, L. and Zhou, Y. (2015). Conditional quantile residual lifetime models for right censored data. Lifetime Data Anaylsis, 21:75-96.
4. Lin, C.*, Zhang, L. and Zhou, Y. (2016). Inference on quantile residual life function under right censored data. Journal of Nonparametric Statistics, 28(3): 617-643.
5. Lin, C.* and Zhou, Y. (2016). Semiparametric varying-coefficient model with right-censored and length-biased data. Journal of Multivariate Analysis, 152:119-144.
6. 林存洁 & 李杨 (2016). 大数据分析仍需要统计思想——以ARGO模型为例. 统计研究,33(11): 109-112.
7. 邹超,林存洁,赵诚和,王霞,孙凌云,易丹辉,杨宇飞 (2016). 结直肠癌术后中医证型与预后相关性的巢式病历对照研究. 世界科学技术-中医药现代化,18(6): 1040-1045.
8. Chen, J, Tang, Y., Zhu, M., Lv, J., Fu, S., He, H., Zeng, Y, Lin, C. and Xu, A.P. (2017). The association of echocardiographic parameters with mortality in hospitalized patients with lupus nephritis. Nephrology, 22: 872-884.
9. Zhao, M., Lin, C.* and Zhou,Y. (2017). Analyzing right-censored length-biased data under additive hazard model. Acta Mathematicae Applicatae Sinica (English Series), 33(4): 893-908.
10.Zhang, L., Lin, C., Zhou, Y. (2017). A resampling method by perturbing the estimating functions for quantile regression with missing data. Communications in Statistics - Simulation and Computation, 46(8): 6661-6671.
11. 林存洁,吴朦,易丹辉,胡镜清 (2017). 多个响应变量的纵向数据联合建模方法及应用. 世界科学技术-中医药现代化,09:1443-1448.
12. Lin, C., Wei, W. H.* and Zhou, Y. (2018). Semiparametric estimation of treatment e?ect with density ratio model. Communications in Statistics – Theory and Methods, 47(14): 3338-3359.
13. Zhang, L., Lin, C. J.* and Zhou, Y. (2018). Generalized method of moments for nonignorable missing data. Statistica Sinica, 28: 2107-2124.
14. Liu, Y. T., Lin, C. J.* and Zhou, Y. (2019). Nonparametric estimate of conditional quantile residual lifetime for right censored data. Statistics and its interface, 12: 61-70.
15. Li, Y., Li, R., Lin, C. J.*, Qin, Y.C. and Ma, S. G.* (2019). Penalized integrative semi-parametric interaction analysis for multiple genetic datasets. Statistics in Medicine, 38(17):3221-3242.



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