4 papers · 1 filter
Deriving Complete Constraints in Hidden Variable Models
Michael C. Sachs, Erin E. Gabriel, Robin J. Evans +1
Hidden variable graphical models can sometimes imply constraints on the observable distribution that are more complex than simple conditional independence relations. These observab…
Bounds for causal mediation effects
Marie S. Breum, Vanessa Didelez, Erin E. Gabriel +1
Several frameworks have been proposed for studying causal mediation analysis. What these frameworks have in common is that they all make assumptions for point identifications that…
Propensity weighting plus adjustment in proportional hazards model is not doubly robust
Erin E Gabriel, Michael C Sachs, Ingeborg Waernbaum +5
Recently, it has become common for applied works to combine commonly used survival analysis modeling methods, such as the multivariable Cox model and propensity score weighting, wi…
Adding covariates to bounds: What is the question?
Gustav Jonzon, Erin E Gabriel, Arvid Sjölander +1
Symbolic nonparametric bounds for partial identification of causal effects now have a long history in the causal literature. Sharp bounds, bounds that use all available information…