W. Miao

发表

Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder.

Z. Geng, E. T. Tchetgen Tchetgen, W. Miao, 2016, Biometrika.

Identification and inference with nonignorable missing covariate data.

Wang Miao, Eric Tchetgen Tchetgen, E. T. Tchetgen Tchetgen, 2018, Statistica Sinica.

Identifiability of Normal and Normal Mixture Models with Nonignorable Missing Data

Zhi Geng, Wang Miao, Peng Ding, 2015, 1509.03860.

Improving efficiency of inference in clinical trials with external control data.

Xinyu Li, Fang Lu, Wang Miao, 2020, Biometrics.

Identification and Doubly Robust Estimation of Data Missing Not at Random With a Shadow Variable

Z. Geng, W. Miao, E. Tchetgen, 2015, 1509.02556.

IDENTIFICATION AND INFERENCE FOR MARGINAL AVERAGE TREATMENT EFFECT ON THE TREATED WITH AN INSTRUMENTAL VARIABLE.

J. Robins, W. Miao, E. Tchetgen, 2015, Statistica Sinica.

Doubly Robust Estimation of a Marginal Average Effect of Treatment on the Treated With an Instrumental Variable

J. Robins, W. Miao, E. Tchetgen, 2015 .

Semiparametric proximal causal inference

Hongming Pu, W. Miao, E. Tchetgen, 2020, 2011.08411.

Identifying Effects of Multiple Treatments in the Presence of Unmeasured Confounding

Elizabeth L. Ogburn, E. Ogburn, W. Miao, 2020, Journal of the American Statistical Association.

A self-censoring model for multivariate nonignorable nonmonotone missing data

I. Shpitser, W. Miao, E. T. Tchetgen, 2022, 2207.08535.

Proximal Causal Inference for Complex Longitudinal Studies

W. Miao, E. Tchetgen, A. Ying, 2021, 2109.07030.

Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness

E. T. Tchetgen Tchetgen, W. Miao, Xu Shi, 2022, ArXiv.

Proximal causal inference for complex longitudinal studies

W. Miao, E. Tchetgen, A. Ying, 2021, Journal of the Royal Statistical Society Series B: Statistical Methodology.

A Selective Review of Negative Control Methods in Epidemiology

W. Miao, E. Tchetgen, Xu Shi, 2020, Current Epidemiology Reports.

Identification and estimation of causal effects in the presence of confounded principal strata

W. Miao, Wei Li, Yan-peng He, 2022, 2206.08228.

Sharp bounds for variance of treatment effect estimators in the finite population in the presence of covariates

W. Miao, Qihua Wang, Ruoyu Wang, 2020, 2011.09829.

Identification and estimation of causal effects in the presence of confounded principal strata

W. Miao, Wei Li, Yan-peng He, 2022, 2206.08228.

Semiparametric proximal causal inference

Hongming Pu, W. Miao, E. Tchetgen, 2020, 2011.08411.

Doubly Robust Proximal Synthetic Controls

E. Dobriban, W. Miao, Hongxiang Qiu, 2022, 2210.02014.

Doubly Robust Proximal Synthetic Controls

W. Miao, Hongxiang Qiu, E. T. Tchetgen, 2022, 2210.02014.

Doubly Robust Proximal Synthetic Controls

W. Miao, Hongxiang Qiu, E. T. Tchetgen, 2022, 2210.02014.

A self‐censoring model for multivariate nonignorable nonmonotone missing data

I. Shpitser, E. T. Tchetgen Tchetgen, W. Miao, 2022, Biometrics.

Causal data fusion methods using summary‐level statistics for a continuous outcome

Fuzhong Xue, Zhi Geng, Zheng Cai, 2020, Statistics in medicine.

Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness

E. T. Tchetgen Tchetgen, W. Miao, E. T. Tchetgen, 2022, Journal of the American Statistical Association.

Causal Inference

Z. Geng, P. Ding, Zhichao Jiang, 2020, Engineering.

A stableness of resistance model for nonresponse adjustment with callback data

W. Miao, Baoluo Sun, Xinyu Li, 2021, 2112.02822.

An Introduction to Proximal Causal Learning

E. J. Tchetgen Tchetgen, A. Ying, Y. Cui, 2020, medRxiv.

Multiply robust causal inference with double‐negative control adjustment for categorical unmeasured confounding

Eric J. Tchetgen Tchetgen, Wang Miao, Xu Shi, 2018, Journal of the Royal Statistical Society. Series B, Statistical methodology.

Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable.

Eric J Tchetgen Tchetgen, Lan Liu, Wang Miao, 2016, Statistica Sinica.

On varieties of doubly robust estimators under missingness not at random with a shadow variable

Wang Miao, E. T. Tchetgen Tchetgen, W. Miao, 2015, Biometrika.

Data integration in causal inference

Wang Miao, Xu Shi, Ziyang Pan, 2021, Wiley interdisciplinary reviews. Computational statistics.

A robust fusion-extraction procedure with summary statistics in the presence of biased sources

W. Miao, Qihua Wang, Ruoyu Wang, 2021, Biometrika.

Semiparametric proximal causal inference

E. T. Tchetgen Tchetgen, Hongming Pu, W. Miao, 2020, Journal of the American Statistical Association.

A Confounding Bridge Approach for Double Negative Control Inference on Causal Effects (Supplement and Sample Codes are included)

W. Miao, E. Tchetgen, Wang Miao, 2018, 1808.04945.

Identification, Doubly Robust Estimation, and Semiparametric Efficiency Theory of Nonignorable Missing Data With a Shadow Variable

Eric J. Tchetgen Tchetgen, Zhi Geng, Wang Miao, 2015 .

Identification and Doubly Robust Estimation of Data Missing Not at Random with an Ancillary Variable

Eric J. Tchetgen Tchetgen, Zhi Geng, Wang Miao, 2015 .

On Semiparametric Instrumental Variable Estimation of Average Treatment Effects through Data Fusion

W. Miao, Baoluo Sun, Wang Miao, 2018 .

Improving efficiency of inference in clinical trials with external control data

Wang Miao, Xiao-Hua Zhou, Xinyu Li, 2020, Biometrics.

Theory for identification and Inference with Synthetic Controls: A Proximal Causal Inference Framework

W. Miao, E. T. Tchetgen, Xu Shi, 2021, 2108.13935.

On Proximal Causal Inference With Synthetic Controls

W. Miao, E. T. Tchetgen, Xu Shi, 2021 .

Doubly Robust Proximal Synthetic Controls

W. Miao, Hongxiang Qiu, E. T. Tchetgen, 2022, 2210.02014.

Proximal causal inference without uniqueness assumptions

E. T. Tchetgen Tchetgen, W. Miao, Jeffrey Zhang, 2023, Statistics & Probability Letters.