13 papers · 1 filter
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…
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 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…
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…
Causal effect on the number of life years lost due to a specific event: Average treatment effect and variable importance
Simon Christoffer Ziersen, Torben Martinussen
Competing risk is a common phenomenon when dealing with time-to-event outcomes in biostatistical applications. An attractive estimand in this setting is the "number of life-years l…
Variable importance measures for heterogeneous treatment effects with survival outcome
Simon Christoffer Ziersen, Torben Martinussen
Treatment effect heterogeneity plays an important role in many areas of causal inference and within recent years, estimation of the conditional average treatment effect (CATE) has…