activity
20162023
most citedAn Introduction to Proximal Causal Learning

36 citations · 61 across the 13 of their papers we have counts for

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Showing 2021 · stat.MEShow all

5 papers · 2 filters

stat.ME2021★ 2 cited

A stableness of resistance model for nonresponse adjustment with callback data

Wang Miao, Xinyu Li, Ping Zhang +1

Nonresponse arises frequently in surveys and follow-ups are routinely made to increase the response rate. In order to monitor the follow-up process, callback data have been used in…

stat.ME2021

Data Integration in Causal Inference

Xu Shi, Ziyang Pan, Wang Miao

Integrating data from multiple heterogeneous sources has become increasingly popular to achieve a large sample size and diverse study population. This paper reviews development in…

stat.ME2021★ 6 cited

Proximal Causal Inference for Complex Longitudinal Studies

Andrew Ying, Wang Miao, Xu Shi +1

A standard assumption for causal inference about the joint effects of time-varying treatment is that one has measured sufficient covariates to ensure that within covariate strata,…

stat.ME2021★ 8 cited

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

Xu Shi, Kendrick Li, Wang Miao +2

Synthetic control (SC) methods are commonly used to estimate the treatment effect on a single treated unit in panel data settings. An SC is a weighted average of control units buil…

stat.ME2021★ 1 cited

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

Ruoyu Wang, Qihua Wang, Wang Miao

Information from various data sources is increasingly available nowadays. However, some of the data sources may produce biased estimation due to commonly encountered biased samplin…