1 citations · 1 across the 8 of their papers we have counts for
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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…
Nonparametric efficient estimation of the longitudinal front-door functional
Marie S. Breum, Helene C. W. Rytgaard, Torben Martinussen +1
The front-door criterion is an identification strategy for the intervention-specific mean outcome in settings where the standard back-door criterion fails due to unmeasured exposur…
Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules
Johannes Hruza, Erin Gabriel, Arvid Sjölander +2
Evaluating the value of new clinical treatment rules based on patient characteristics is important but often complicated by hidden confounding factors in observational studies. Sta…
On the limitations of causal inference with current-treatment Cox models
Mark B. Knudsen, Erin E. Gabriel, Torben Martinussen +2
Cox models with time-varying treatments often include only the current treatment level. Translating such a model into causally meaningful intervention-specific survival probabiliti…
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…
The impact of coarsening an exposure on partial identifiability in instrumental variable settings
Erin E. Gabriel, Michael C. Sachs, Arvid Sjölander
In instrumental variable (IV) settings, such as in imperfect randomized trials and observational studies with Mendelian randomization, one may encounter a continuous exposure, the…
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…