8 papers
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…
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…
A joint QoL-Survival framework with debiased estimation under truncation by death
Torben Martinussen, Klaus K. Holst, Christian Bressen Pipper +1
Evaluating quality-of-life (QoL) outcomes in populations with high mortality risk is complicated by truncation by death, since QoL is undefined for individuals who do not survive t…
Nonparametric estimation of the Patient Weighted While-Alive Estimand
Alessandra Ragni, Torben Martinussen, Thomas Scheike
In clinical trials with recurrent events, such as repeated hospitalizations terminating with death, it is important to consider the patient events overall history for a thorough as…
Efficient nonparametric estimators of discrimination measures with censored survival data
Marie Skov Breum, Torben Martinussen
Discrimination measures such as the concordance index and the cumulative-dynamic time-dependent area under the ROC-curve (AUC) are widely used in the medical literature for evaluat…
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…