个人简历

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，11701561，2018—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、数据科学概论
研究生课程：生存分析 、生物统计模型选讲 、高等概率论

研究领域

生物统计，生存分析，复杂数据分析、模型平均""

近期论文

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 effect 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.