1 citations · 2 across the 16 of their papers we have counts for
4 papers · 1 filter
Causal Inference with Outcomes Truncated by Death and Missing Not at Random
Wei Li, Yuan Liu, Shanshan Luo +1
In clinical trials, principal stratification analysis is commonly employed to address the issue of truncation by death, where a subject dies before the outcome can be measured. How…
Automating the Selection of Proxy Variables of Unmeasured Confounders
Feng Xie, Zhengming Chen, Shanshan Luo +3
Recently, interest has grown in the use of proxy variables of unobserved confounding for inferring the causal effect in the presence of unmeasured confounders from observational da…
Assessing the causes of continuous effects by posterior effects of causes
Shanshan Luo, Yixuan Yu, Chunchen Liu +2
To evaluate a single cause of a binary effect, Dawid et al. (2014) defined the probability of causation, while Pearl (2015) defined the probabilities of necessity and sufficiency.…
Efficiency-improved doubly robust estimation with non-confounding predictive covariates
Shanshan Luo, Mengchen Shi, Wei Li +2
In observational studies, covariates with substantial missing data are often omitted, despite their strong predictive capabilities. These excluded covariates are generally believed…