Education

2009.09–2014.07, University of Chinese Academy of Sciences, Probability and Mathematical Statistics, PhD

2005.09–2009.06, Sichuan University, Statistics, BSc

Work Experience

2019.08–Present, Associate Professor, School of Statistics, Renmin University of China

2014.08–2019.08, Assistant Professor, School of Statistics, Renmin University of China

Research Interest

Biostatistics, Survival Analysis, Precision Medicine, Health and Medical Data Analysis, Transfer Learning, Subgroup Learning

Honors and Awards

1. Excellent Head Teacher, Renmin University of China, 2023

2. Outstanding Party Worker, Renmin University of China, 2023

3. Excellent Union Worker, Renmin University of China, 2021

4. Excellent Teaching Award, Renmin University of China, 2020

5. First Prize, BeiGene Young Paper Award, Beijing Biomedical Statistics and Data Management Research Society, 2019

6. Outstanding Supervisor for Undergraduate Thesis, Renmin University of China, 2017

7. Excellent Research Supervisor, Renmin University of China, 2017

Funding

1. Research Fund of Renmin University of China (19XNB014): Model Averaging for Quantile Regression with Missing Data and Applications, 2019.01–2021.12, Principal Investigator

2. Key Project of National Bureau of Statistics (2019K20265): Model Averaging for Semiparametric Quantile Regression with Complex Data and Applications, 2019.05–2021.05, Principal Investigator

3. National Natural Science Foundation of China (Youth Program, 11701561): Semiparametric Statistical Inference for Treatment Effects with Complex Data and Applications, 2018.01–2020.12, Principal Investigator

4. Research Fund of Renmin University of China (15XNF025): Statistical Inference for Treatment Effects with Complex Data, 2015.01–2017.12, Principal Investigator

5. Key Project of Ministry of Education Humanities and Social Sciences (22JJD910001): Research on Statistical Measurement and Analysis Methods for Digital Health, 2023.01–2025.12, Subproject Leader

6. Key Project of Ministry of Education Humanities and Social Sciences (16JJD910002): Research on Biostatistical Methods for Precision Medicine Based on Big Data and Applications, 2016.11–2020.12, Participant

7. National Natural Science Foundation of China (General Program, 81774206): Research on Latent Variable Syndrome Quantitative Diagnosis Model for Subhealth Based on Symptom and Micro Indicators, 2018.01–2021.12, Principal Investigator

Educational Reform Projects

1. The 3rd Batch of “123” Golden Course Project of Renmin University of China, 2023.11–2028.11, Principal Investigator

2. Wuyuzhang Course Ideology and Politics Master Studio, Renmin University of China, 2021.06–2024.06, Key Participant

Publication

1.Zishu Zhang, Zhishuai Liu, Cunjie Lin*, Danhui Yi, Jiang Liu, and Yufei Yang(2025). Censored C-learning for dynamic treatment regime in colorectal cancer study. Annals of Applied Statistics, 19(2),1426-1447.

2.Chenjin Ma, Cunjie, Lin, Yuan Xue, Sanguo Zhang, Qingzhao, Zhang, and Shuangge Ma (2024). Information-incorporated clustering analysis of disease prevalence trends. Annals of Applied Statistics, 18(2): 1035-1050.

3.Nan Qiao, Wangcheng Li, Feng Xiao and Cunjie Lin* (2024). Optimal subsampling for the Cox proportional hazards model with massive survival data. Journal of Statistical Planning and Inference, 231:106136.

4.Zhishuai Liu, Zishu Zhan and Cunjie Lin* (2022). Penalized regression analysis with individual-specific patterns of missing covariates. Communications in Statistics - Simulation and Computation, 53(7), 3126-3142.

5.Zhishuai Liu, Zishu Zhan, Cunjie Lin* and Baqun Zhang* (2023). Estimation in optimal treatment regimes based on mean residual lifetimes with right-censored data. Biometrical Journal, 65:2200340.

6.Yang Li, Le Qi, Yichen, Qin, Cunjie Lin* and Yuhong Yang (2023). Block weighted least squares estimation for nonlinear cost-based split questionnaire design. Journal of Official Statistics, 39(4): 459-487.

7.Zishu Zhan, Yang Li, Yuhong Yang and Cunjie Lin* (2023). Model averaging for semiparametric varying coefficient quantile regression models. Annals of the Institute of Statistical Mathematics, 75:649-681.

8.Cunjie Lin, Jingfu Peng, Yichen Qin, Yang Li* and Yuhong Yang (2023). Optimal integrating learning for split questionnaire design type data. Journal of Computational and Graphical Statistics,32(3):1009-1023.

9.Cunjie Lin, Nan Qiao, Wenli Zhang, Yang Li* and Shuangge Ma*(2022). Default risk prediction and feature extraction using a penalized deep neural network. Statistics and Computing, 32:76.

10.Huangdi Yi, Qinzhao Zhang, Cunjie Lin* and Shuangge Ma* (2022). Information-incorporated Gaussian graphical model for gene expression data. Biometrics, 78: 512-523.

11.Yang Li#, Rong Li#, Yichen Qin, Cunjie Lin* and Yuhong Yang (2021). Robust group variable screening based on maximum Lq-likelihood estimation. Statistics in Medicine, 40(30): 6818-6834.

12.Weijuan Liang, Shuangge Ma and Cunjie Lin*(2021). Marginal false discovery rate for a penalized transformation survival model. Computational Statistics and Data Analysis,160: 107232.

13.Yang Li, Rong Li, Cunjie Lin*, Yichen Qin and Shuangge Ma* (2019). Penalized integrative semi-parametric interaction analysis for multiple genetic datasets. Statistics in Medicine, 38(17): 3221-3242.

14.Yutao Liu, Cunjie Lin* and Yong Zhou (2019). Nonparametric estimate of conditional quantile residual lifetime for right censored data. Statistics and its interface, 12: 61-70.

15.Li Zhang, Cunjie Lin* and Yong Zhou (2018). Generalized method of moments for nonignorable missing data. Statistica Sinica, 28: 2107-2124.

16.Cunjie Lin, Wenhua Wei* and Yong Zhou (2018). Semiparametric estimation of treatment effect with density ratio model. Communications in Statistics – Theory and Methods, 47(14): 3338-3359.

17.Li Zhang, Cunjie Lin and Yong Zhou (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.

18.Mu Zhao, Cunjie Lin* and Yong Zhou (2017).  Analyzing right-censored length-biased data with additive hazards model. Acta Mathematicae Applicatae Sinica (English Series), 33(4): 893-908.

19.Junzhe Chen#, Ying Tang#, Mingsheng Zhu, Jun Lv, Sha Fu, Huizhen He, Yuchun Zeng, Cunjie Lin and Anping Xu* (2017). The association of echocardiographic parameters with mortality in hospitalized patients with lupus nephritis. Nephrology, 22(11): 872-884.

20.Cunjie Lin* and Yong Zhou (2016).  Semiparametric varying-coefficient model with right-censored and length-biased data.  Journal of Multivariate Analysis, 152:119-144.

21.Cunjie Lin*, Li Zhang and Yong Zhou (2016). Inference on quantile residual life function under right censored data.  Journal of Nonparametric Statistics, 28(3): 617-643.

22.Cunjie Lin*, Li Zhang and Yong Zhou (2015).  Conditional quantile residual lifetime models for right censored data. Lifetime Data Analysis, 21:75-96.

23.Cunjie Lin* and Yong Zhou (2014).  Analyzing right-censored and length-biased data with varying-coefficient transformation model.  Journal of Multivariate Analysis, 130: 45-63.

24.Cunjie Lin* and Yong Zhou (2014).  Inference for the treatment effects in two sample problems with right-censored and length-biased data. Statistics and Probability Letters, 90:17-24.

25.Cunjie Lin, Zhao Xiong, Yang Li* (2024). Priori mediation analysis and its applications. Journal of Systems Science and Mathematical Sciences, 44(7), 2122–2145.

26.Cunjie Lin, Feng Xiao, Nan Qiao* (2023). Multi-source corporate loan default prediction method based on distributed Logistic model. Journal of Applied Statistics and Management, DOI:10.13860/j.cnki.sltj.20231030-009.

27.Rong Li, Wenli Zhang, Yang Li, Cunjie Lin* (2022). Survival analysis of large-scale tumor data based on deep learning. Chinese Journal of Health Statistics, 39(1), 84–90.

28.Xiaochen Yang, Yue Chen, Tao Sun*, Cunjie Lin, Jian Liu, Danhui Yi (2022). Statistical methodology for real-world study of integrated traditional Chinese and Western medicine in advanced gastrointestinal cancer. Journal of Beijing University of Traditional Chinese Medicine, 25(5), 452–458.

29.Cunjie Lin, Meng Wu, Danhui Yi, Jingqing Hu (2017). Joint modeling of longitudinal data with multiple responses and applications. World Science and Technology - Modernization of Traditional Chinese Medicine, 9, 1443–1448.

30.Chao Zou, Cunjie Lin, Chenghe Zhao, Xia Wang, Lingyun Sun, Danhui Yi, Yufei Yang (2016). Nested case-control study on correlation between TCM syndromes and prognosis after colorectal cancer surgery. World Science and Technology - Modernization of Traditional Chinese Medicine, 18(6), 1040–1045.

31.Cunjie Lin & Yang Li (2016). Big data analysis still needs statistical thinking—taking the ARGO model as an example. Statistical Research, 33(11), 109–112.

Books and Textbooks

1. Yang Li, Cunjie Lin (2024). Regression Analysis (1st Edition). Renmin University of China Press.

Teaching

1. Undergraduate Courses: Regression Analysis, Introduction to Data Science, Multivariate Statistical Analysis

2. Graduate Courses: Advanced Probability Theory