6 papers
Probability of Root Cause: A Counterfactual Definition and Its Identification
Zitong Lu, Zhi Geng, Wei Li +1
Attributing an observed outcome to its root cause is a central task in domains ranging from medical diagnosis to engineering fault diagnosis. Existing approaches either equate the…
Mediation analysis with unmeasured confounding between parallel mediators and outcome
Kang Shuai, Lan Liu, Yangbo He +1
Mediation analysis extending beyond single mediators has gained significant attention in recent years. However, related methods often assume the absence of unmeasured mediator-outc…
Identifying Causal Effects Using Instrumental Variables from the Auxiliary Dataset
Kang Shuai, Shanshan Luo, Wei Li +1
Instrumental variable approaches have gained popularity for estimating causal effects in the presence of unmeasured confounders. However, the availability of instrumental variables…
Assessing Interactive Causes of an Occurred Outcome Due to Two Binary Exposures
Shanshan Luo, Wei Li, Xueli Wang +2
In contrast to evaluating treatment effects, causal attribution analysis focuses on identifying the key factors responsible for an observed outcome. For two binary exposure variabl…
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…
Identification and estimation of causal peer effects using instrumental variables
Shanshan Luo, Kang Shuai, Yechi Zhang +2
In social science researches, causal inference regarding peer effects often faces significant challenges due to homophily bias and contextual confounding. For example, unmeasured h…