Individualized causal mediation analysis with continuous treatment using conditional generative adversarial networks
Sign Up to like & getrecommendations! Published in 2024 at "Statistics and Computing"
DOI: 10.1007/s11222-024-10484-8
Abstract: Traditional methods used in causal mediation analysis with continuous treatment often focus on estimating average causal effects, limiting their applicability in precision medicine. Machine learning techniques have emerged as a powerful approach for precisely estimating… read more here.
Keywords: individualized causal; medicine; cgan icma; continuous treatment ... See more keywords
Individualized causal discovery with latent trajectory embedded bayesian networks.
Sign Up to like & getrecommendations! Published in 2023 at "Biometrics"
DOI: 10.1111/biom.13843
Abstract: Bayesian networks have been widely used to generate causal hypotheses from multivariate data. Despite their popularity, the vast majority of existing causal discovery approaches make the strong assumption of a (partially) homogeneous sampling scheme. However,… read more here.
Keywords: discovery latent; individualized causal; bayesian networks; causal discovery ... See more keywords