most citedAdding covariates to bounds: What is the question?

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stat.ME2025

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…

stat.ME2025

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…

stat.ME2025

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…

stat.ME2025

On the limitations for causal inference in Cox models with time-varying treatment

Mark B. Knudsen, Erin E. Gabriel, Torben Martinussen +2

When using the Cox model to analyze the effect of a time-varying treatment on a survival outcome, treatment is commonly included, using only the current level as a time-dependent c…

stat.ME20251 cited

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…