姓名：李清/Qing Li
职称：副教授
导师：博士生导师
学位（毕业学校）：瑞士洛桑大学
电邮/Email：monsieurliqing@outlook.com
现任职务/Title：专任教师
研究方向/Research Fields：老龄化、环境与健康
学术与社会兼职/ Membership in Academic and Professional Associations：
主讲课程/ Courses Taught计量经济学
研究课题/Research Projects
[1] 主持（在研）：国家自然科学基金项目：2021.01-2024.12，使用统计建模及数据分析方法研究生物标记物网络的稳态失调问题（82060265）
[2] 主持（在研）：自治区自然科学基金项目：2020.06-2023.5，政府补贴促进新能源企业创新的机理与动力机制研究 （2020D01C044）
期刊论文/Refereed Journal Articles
[1]Li Q, Yu S, Echevin D, Fan M. Is poverty predictable with machine learning? A study of DHS data from Kyrgyzstan [J].Socio-Economic Planning Sciences,已录稿.
[2]Li Q, Legault V, Girard V, Ferrucci L, Fried L, Cohen A. An objective metric of individual health and aging for population surveys [J].Population Health Metrics, 2022, Volume 20:11.
[3]Li Q, Wang M, Xiangli L, Do government subsidies promote new-energy firms’innovation? Evidence from dynamic and threshold models [J].Journal of Cleaner Production, 2021, Vol.286:124992.
[4]Li Q, Yao X, Echevin D. 2020.How good is machine learning in predicting all-cause 30-day hospital readmission? Evidence from administrative data [J].Value in Health, 2020, Vol.23(10):1307-1315.
[5]Li Q, Larivée P, Courteau J, Couillard S, Poder T, Carrier N, Bélanger M, Vanasse A. Greater eosinophil counts at first COPD hospitalization are associated with more readmissions and fewer deaths [J].International Journal of COPD, 2019, Vol:1（14）: 331–341.
