3 papers
stat.ME2026
A generalized tetrad constraint for testing conditional independence given a latent variable
Naiwen Ying, Ping Zhang, Shanshan Luo +1
The tetrad constraint is widely used to test whether four observed variables are conditionally independent given a latent variable, based on the fact that if four observed variable…
stat.ME2026
Bidirectional causal inference for binary outcomes in the presence of unmeasured confounding
Yafang Deng, Kang Shuai, Shanshan Luo
Bidirectional causal relationships arising from mutual interactions between variables are commonly observed within biomedical, econometrical, and social science contexts. When such…
stat.ME2025
A regression-based approach for bidirectional proximal causal inference in the presence of unmeasured confounding
Jiaqi Min, Xueyue Zhang, Shanshan Luo
Proxy variables are commonly used in causal inference when unmeasured confounding exists. While most existing proximal methods assume a unidirectional causal relationship between t…