3 papers
stat.ME2026
Debiased inference for stochastic treatment interventions with survival outcomes
Torben Martinussen, Mark Bech Knudsen, Helene Rytgaard
Estimating the causal effect of a time-dependent treatment on time to death is challenging. In this paper, we formulate the problem using the illness-death model and focus on a sto…
stat.ME2026
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
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…