36 citations · 167 across the 23 of their papers we have counts for
6 papers · 1 filter
Doubly Robust Proximal Synthetic Controls
Hongxiang Qiu, Xu Shi, Wang Miao +2
To infer the treatment effect for a single treated unit using panel data, synthetic control methods construct a linear combination of control units' outcomes that mimics the treate…
Semiparametric Efficient Fusion of Individual Data and Summary Statistics
Wenjie Hu, Ruoyu Wang, Wei Li +1
Suppose we have individual data from an internal study and various summary statistics from relevant external studies. External summary statistics have the potential to improve stat…
Doubly Robust Proximal Causal Inference under Confounded Outcome-Dependent Sampling
Kendrick Qijun Li, Xu Shi, Wang Miao +1
Unmeasured confounding and selection bias are often of concern in observational studies and may invalidate a causal analysis if not appropriately accounted for. Under outcome-depen…
A self-censoring model for multivariate nonignorable nonmonotone missing data
Yilin Li, Wang Miao, Ilya Shpitser +1
We introduce a self-censoring model for multivariate nonignorable nonmonotone missing data, where the missingness process of each outcome is affected by its own value and is associ…
Identification and estimation of causal effects in the presence of confounded principal strata
Shanshan Luo, Wei Li, Wang Miao +1
The principal stratification has become a popular tool to address a broad class of causal inference questions, particularly in dealing with non-compliance and truncation-by-death p…
Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness
Kendrick Qijun Li, Xu Shi, Wang Miao +1
The test-negative design (TND) has become a standard approach to evaluate vaccine effectiveness against the risk of acquiring infectious diseases in real-world settings, such as In…