Contact

Email: mwfy(at)pku.edu.cn

CV 简历

PhD students: Xinyu Li, Yilin Li, Ping Zhang, Naiwen Ying, Yuyang Tang, Changxiao Xie

Master students: Peiyu He, Yujing Gao

Causal inference: Exposure-outcome-wide causal inference; Causal attribution; Proximal inference and Negative control; Confounding; Instrumental variable; Observational study; Synthetic control; Mediation; Sensitivity analysis; Mendelian randomization
Missing data analysis: Callback data; Multivariate missing data; Nonignorable missing data
Semiparametric inference and doubly robust estimation
Big data and artificial intelligence: Data fusion; Transfer learning; Machine learning
Application of statistics in economic, political, epidemiological, and biomedical studies

Miao, W., P. Ding, and Z. Geng (2016). Identifiability of normal and normal mixture models with nonignorable missing data. Journal of the American Statistical Association 111, 1673–1683
Miao, W. and E. Tchetgen Tchetgen (2016). On varieties of doubly robust estimators under missingness not at random with a shadow variable. Biometrika 103, 475–482
Miao, W., Z. Geng, and E. Tchetgen Tchetgen (2018). Identifying causal effects with proxy variables of an unmeasured confounder. Biometrika 105, 987–993
Miao, W., W. Hu, E. L. Ogburn, and X. Zhou (2023). Identifying effects of multiple treatments in the presence of unmeasured confounding. Journal of the American Statistical Association, 118, 1953–1967 arXiv; Supplement; Codes
Li, X., W. Miao, F. Lu, and X.-H. Zhou (2023). Improving efficiency of inference in clinical trials with external control data. Biometrics, 79, 394–403 arXiv
Li, K. Q., X. Shi, W. Miao, and E. Tchetgen Tchetgen (2023). Double negative control inference in test-negative design studies of vaccine effectiveness. Journal of the American Statistical Association, in press. arXiv
Miao, W., X. Li, P. Zhang, and B. Sun (2022). A stableness of resistance model for nonresponse adjustment with callback. Journal of the Royal Statistical Society: Series B, in press. arXiv; Slides 该论文在第六届全国统计学博士研究生学术论坛获一等奖，李新宇获奖.

Shi, X., W. Miao, M. Hu, and E. Tchetgen Tchetgen (2022). Theory for identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework. Revision invited by Journal of the American Statistical Association. arXiv
Hu, W., R. Wang, W. Li, and W. Miao (2023). Paradoxes and resolutions for semiparametric fusion of individual and summary data. arXiv
Wang, R., Q. Wang, and W. Miao (2023). Optimal two-phase sampling designs toward a general scalar or multidimensional parameter

Miao, W. (2023). Specificity analysis for causal inference in observational studies
Li, X., K. Li, X. Shi, BL. Sun and W. Miao (2023). Correction for nonignorable nonresponse bias in turnout estimation using callback data
He, P., Y. Li, and W. Miao (2023). Identification and estimation of causal effects with synthetic controls in the presence of interference
Ying, N., S. Luo, and W. Miao (2023). A generalized tetrad constraint for causal discovery with nonparametric models
Zhang, P., R. Wang, and W. Miao (2023). Causal attribution with confidence
Li, K., X. Li, X. Shi, and W. Miao (2023). Nonresponse bias adjustment using callback data under a novel continuum of resistence model
Wang, R. and W. Miao (2024). Extreme-based causal effect learning with endoge- nous exposure and light-tailed error
Li, Y., L. Deng, Y. Wang, and W. Miao (2024). Causal inference for dyadic data with interference

国家重点研发计划青年科学家项目：人工智能的因果数学理论、方法与应用

国家自然科学基金原创探索计划项目: 混杂和缺失数据的填补与调整方法及其在古气候数据同化中的应用

中国现场统计研究会因果推断分会，主任委员