苗旺 - 北京大学 - 光华管理学院

个人简介

教育背景 2017 北京大学统计学博士 2012 北京大学数学学士职业经历 2018 年助理教授，研究员，北大光华管理学院

研究领域

缺失数据分析：非随机缺失数据；双稳健估计；半参数化方法；因果推断：混杂；工具变量；阴性对照方法；因果图模型；中介分析；敏感性分析；测量误差；荟萃分析；多源数据融合方法经济学、流行病学、生物医药中的观察性研究问题统计学方法在商业与管理中的应用

近期论文

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Miao W., Ding P., and Geng Z. (2016). Identifiability of normal and normal mixture models with nonignorable missing data. Journal of the American Statistical Association, 111:1673–1683. Miao W. and Tchetgen Tchetgen E. (2016). On varieties of doubly robust estimators under missingness not at random with a shadow variable. Biometrika, 103:475–482. Miao W., Geng Z., and Tchetgen Tchetgen E. (2018). Identifying causal effects with proxy variables of an unmeasured confounder. Biometrika, in press. Miao W. and Tchetgen Tchetgen E. (2017). Invited commentary: Bias attenuation and identification of causal effects with multiple negative controls. American Journal of Epidemiology, 185:950-953. Miao W. and Tchetgen Tchetgen E. (2018). Identification and inference with nonignorable missing covariate data. Statistica Sinica, in press. Sun B., Liu L., Miao W., Wirth K., Robins J. M., and Tchetgen Tchetgen E. (2018). Semiparametric estimation with data missing not at random using an instrumental variable. Statistica Sinica, in press. Geng Z., Liu Y., Liu C. C., Miao W. (2018). Evaluation of causal effects and local structure learning of causal networks. Annual Review of Statistics and Its Application, in press. Li H. K., Jia J. Z., Miao W., and Geng Z. Identification and estimation of treatment effects with separate datasets. Miao W. and Tchetgen Tchetgen E. A confounding bridge approach for double negative control inference on causal effects. Miao W., Tchetgen Tchetgen E., and Geng, Z. Identification and doubly robust estimation of data missing not at random with a shadow variable. 苗旺，刘春晨，耿直. 因果推断的统计方法. Shi X., Miao W., and Tchetgen Tchetgen E. Multiply robust correction of confounding bias with negative controls.