| 講師 | 電話(huà)： |
| 電子郵件：[email protected] |
教育背景
博士（統(tǒng)計(jì)學(xué)），2023，上海財(cái)經(jīng)大學(xué)
學(xué)士（經(jīng)濟(jì)統(tǒng)計(jì)學(xué)），2018，江西財(cái)經(jīng)大學(xué)
研究興趣
高維數(shù)據(jù)分析、網(wǎng)絡(luò)模型、貝葉斯統(tǒng)計(jì)
簡(jiǎn)介
2023年9月至今在上海對(duì)外經(jīng)貿(mào)大學(xué)統(tǒng)計(jì)與數(shù)據(jù)科學(xué)學(xué)院任教。耶魯大學(xué)生物統(tǒng)計(jì)系訪(fǎng)問(wèn)學(xué)者。
部分發(fā)表論文
Feng, X., Li, Q., Qin, X.*, Wu, M., & Yu, L. (2026). Structured Nonlinear Cure Model With Deep Neural Networks for High‐Dimensional Survival Analysis. Statistics in Medicine, 45(1-2), e70368.
Xu, C., Qin, X., Dai, S., Shen, Z., Yang, Y., Huang, Y., ... & Chen, G. (2025). Establishment of biliary atresia prognostic classification system via survival-based forward clustering—A new biliary atresia classification. Indian Journal of Pediatrics, 92(2), 138-149.
Qin, X., Hu, J., Ma, S., & Wu, M.* (2024). Estimation of multiple networks with common structures in heterogeneous subgroups. Journal of Multivariate Analysis, 202, 105298.
Qin, X., Ma, S. & Wu, M.* (2023). Two-level Bayesian interaction analysis for survival data incorporating pathway information. Biometrics, 79(3), 1761-1774.
Qin, X., Ma, S., & Wu, M.* (2021). Gene-gene interaction analysis incorporating network information via a structured Bayesian approach. Statistics in Medicine, 40(29), 6619-6633.
Wu, M., Qin, X., & Ma, S.* (2021). GEInter: an R package for robust gene–environment interaction analysis. Bioinformatics, 37(20), 3691-3692.
科研項(xiàng)目
國(guó)家自然科學(xué)基金（青年科學(xué)基金項(xiàng)目），《面向臨床治療數(shù)據(jù)的有向疾病網(wǎng)絡(luò)的構(gòu)建及統(tǒng)計(jì)計(jì)算》，2025.1-2027.12，主持