研究方向：生物统计、应用统计
研究兴趣：缺失数据填补、复杂疾病预测和防控、因果推断
教育背景
2011.08-2016.03 澳大利亚昆士兰大学 博士
2010.02-2011.07 澳大利亚昆士兰大学 硕士
2003.09-2007.06 必赢体育官网登录物理学院 本科
工作经历
2023.03-至今 必赢唯一官方网站，副教授
2018.10-2023.02 必赢唯一官方网站，副研究员
2017.06-2018.07 美国伊利诺伊大学厄巴纳-香槟分校，博士后
2015.08-2017.03 澳大利亚昆士兰大学，研究助理
2007.07-2009.09 广州市社会科学院，实习研究员
访问经历
2019.11-2019.11 美国伊利诺伊大学厄巴纳-香槟分校
2014.05-2014.06 荷兰莱顿大学
主要科研项目
1. 国家自然科学基金-青年项目《基于传染性疾病干预政策的因果推断研究》，2021.01-2023.12；主持
2. 广东省自然科学基金-面上项目《异质性慢性疾病数据中的缺失机制的非参数方法的研究及应用》，2021.01-2023.12；主持
3. 广州市基础与应用基础研究项目 《大规模医疗数据的亚组分析》，2022.04-2024.03；主持
4. 国家自然科学基金-数学天元基金项目《支持病理诊断自动化的数学理论、方法与系统》，2022.01-2023.12；参与
发表文章
2023年
1. Zhe Gao, Yanfang Xu, Wangwei Wu, Xueqing Wang, Yinying Kong and Ting Tian,"Towards better clinical prediction and interpretation via a new imputation strategy from National Health and Nutrition Examination Survey", Statistics and Its Interface, To appear
2022年
1. Ting Tian, Samniqueka Halsey, Nelda Rivera, William Brown, Jan Novakofski, and Nohra Mateus-Pinilla,"Impact of landcover composition and density of localized deer culling sites on chronic wasting disease prevalence", Preventive Veterinary Medicine, 2022, 208: 105774
2. Xiaodong Zhuang, Ting Tian, Lizhen Liao, Yuehua Dong, Haojin Zhou, Shaozhao Zhang, Wenyi Chen, Zhimin Du, Xueqin Wang, and Xinxue Liao,"Deep phenotyping and prediction of long-term cardiovascular disease: optimized by machine learning", Canadian Journal of Cardiology, 2022, 38(6): 774-782
3. Minqiong Chen, Ting Tian, Jin Zhu, Wenliang Pan, and Xueqing Wang,"Paired-sample tests for homogeneity with/without confounding variables", Statistics and Its Interface, 2022, 15(3): 335-348
4. Yifen Lin, Jianqiu Kong, Ting Tian, Xiangbin Zhong, Shaozhao Zhang, Haojin Zhou, Zhenyu Xiong, Jiashu Zhao, Yiquan Huang, Menghui Liu, Yuehua Dong, Junjiong Zheng, Xiayao Diao, Jieyin Wu, Haide Qin, Yue Hu, Xueqin Wang, Xiaodong Zhuang, and Xinxue Liao,"Identification of novel phenotypes correlated with CKD: a phenotype-wide association study", International Journal of Medical Sciences, 2022, 19(13): 1920-1928
5. Huimin Zhou, Rongjian Zhan, Xuanyu Chen, Yifen Lin, Shaozhao Zhang, Huigan Zheng, Xueqin Wang, Mengting Huang, Chaoguang Xu, Xinxue Liao, Ting Tian and Xiaodong Zhuang,"Targeting efficacy of spironolactone in patients with heart failure with preserved ejection fraction: the TOPCAT study", ESC Heart Failure, 2022
2021年
1. Ting Tian, Jianbin Tan, Wenxiang Luo, Yukang Jiang, Miqong Chen, Songpan Yang, Canhong Wen, Wenliang Pan, and Xueqin Wang,"The effects of stringent and mild interventions for coronavirus pandemic", Journal of the American Statistical Association, 2021, 116(534): 481-491
2. Ting Tian, Jingwen Zhang, Liyuan Hu, Yukang Jiang, Congyuan Duan, Zhongfei Li, Xueqing Wang, and Heping Zhang,"Risk factors associated with mortality of COVID-19 in 3125 counties of the United States", Infectious Diseases of Poverty, 2021, 10(1)
3. Ting Tian, Jianbin Tan, Yukang Jiang, Xueqin Wang, and Heping Zhang,"Evaluate the risk of resumption of business for the states of New York, New Jersey and Connecticut via a pre-symptomatic and asymptomatic transmission model of COVID-19", Journal of Data Science, 2021, 19(2): 178-196. (Discussion paper)
4. Ting Tian, Wenxiang Luo, Jianbin Tan, Yukang Jiang, Minqiong Chen, Songpan Yang, Jiashu Zhao, Xueqin Wang, and Heping Zhang,"The timing and effectiveness of implementing mild interventions of COV ID-19 in large industrial cities via a synthetic control method", Statistics and Its Interface, 2021, 14(1): 3-12. (Discussion Paper)
5. Ting Tian, Jingwen Zhang, Shiyun Lin, Yukang Jiang, Jianbin Tan, Zhongfei Li, and Xueqin Wang,"Data-driven analysis of the simulations of the spread of COVID-19 under different interventions of China", Journal of Applied Statistics, 2021
