4 papers
Outcome-Informed Weighting for Robust ATE Estimation
Linying Yang, Robin J. Evans
Reliable causal effect estimation from observational data requires adjustment for confounding and sufficient overlap in covariate distributions between treatment groups. However, i…
Exact Simulation of Longitudinal Data from Marginal Structural Models
Xi Lin, Daniel de Vassimon Manela, Chase Mathis +2
Simulating longitudinal data from specified marginal structural models is a crucial but challenging task for evaluating causal inference methods and informing study design. While d…
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…