32 citations · 33 across the 11 of their papers we have counts for
4 papers · 1 filter
Marginal Causal Flows for Validation and Inference
Daniel de Vassimon Manela, Laura Battaglia, Robin J. Evans
Investigating the marginal causal effect of an intervention on an outcome from complex data remains challenging due to the inflexibility of employed models and the lack of complexi…
Testing Generalizability in Causal Inference
Daniel de Vassimon Manela, Linying Yang, Robin J. Evans
Ensuring robust model performance in diverse real-world scenarios requires addressing generalizability across domains with covariate shifts. However, no formal procedure exists for…
Data fusion for efficiency gain in ATE estimation: A practical review with simulations
Xi Lin, Jens Magelund Tarp, Robin J. Evans
The integration of real-world data (RWD) and randomized controlled trials (RCT) is increasingly important for advancing causal inference in scientific research. This combination ho…
A fast score-based search algorithm for maximal ancestral graphs using entropy
Zhongyi Hu, Robin Evans
\emph{Maximal ancestral graph} (MAGs) is a class of graphical model that extend the famous \emph{directed acyclic graph} in the presence of latent confounders. Most score-based app…