Professor | 苗旺 | 数字化转型顾问

Name

苗旺

Contact Information

mwfy at pku dot edu dot cn

Language ability

中文, 英语

Province

北京

University/Lab Affiliation and Title	北京大学
Faculty	Mathematical Sciences
Academic Background & Achievements	2008—2017 数学学士、统计学博士：北京大学
Work Experience	2018至今 - 北京大学 - 助理教授、研究员 2017—2018 - 哈佛大学公共卫生学院 - 博士后

University/Lab Affiliation and Title

北京大学

Faculty

Mathematical Sciences

Academic Background & Achievements

Work Experience

Areas of Focus	因果推断缺失数据分析半参数统计
Publications	Identifiability of normal and normal mixture models with nonignorable missing data, Miao W., Ding P., and Geng Z., 2016 On varieties of doubly robust estimators under missingness not at random with a shadow variable, Miao W. and Tchetgen Tchetgen E., 2016 Identifying causal effects with proxy variables of an unmeasured confounder, Miao W., Geng Z., and Tchetgen Tchetgen E., 2018 Multiply robust correction of confounding bias with negative controls, Shi X., Miao W., Nelson J., and Tchetgen Tchetgen E., 2019 因果推断的统计方法, 苗旺，刘春晨，耿直, 2018

Areas of Focus

因果推断
缺失数据分析
半参数统计

Publications

Identifiability of normal and normal mixture models with nonignorable missing data, Miao W., Ding P., and Geng Z., 2016
On varieties of doubly robust estimators under missingness not at random with a shadow variable, Miao W. and Tchetgen Tchetgen E., 2016
Identifying causal effects with proxy variables of an unmeasured confounder, Miao W., Geng Z., and Tchetgen Tchetgen E., 2018
Multiply robust correction of confounding bias with negative controls, Shi X., Miao W., Nelson J., and Tchetgen Tchetgen E., 2019
因果推断的统计方法, 苗旺，刘春晨，耿直, 2018

因果推断缺失数据分析半参数统计估计方法论研究

张挺 - 浙江大学

Area of Focus
偏微分 | 方程 | 数学 | 应用 | 数值 | 分析 | 理论 | 建模 | 解决方案 | 研究

甘锐 - 北京大学

蒋美跃 - 北京大学

Area of Focus
非线性 | 分析 | 数学 | 理论 | 研究 | 方程 | 微分 | 函数 | 应用 | 理论

View All

欢迎与我们交流!

感谢您的信息！
我们会很快与你取得联系。

Personal Information