34 citations · 53 across the 13 of their papers we have counts for
16 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…
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…
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…
Inverse probability of treatment weighting with generalized linear outcome models for doubly robust estimation
Erin E Gabriel, Michael C Sachs, Torben Martinussen +4
There are now many options for doubly robust estimation; however, there is a concerning trend in the applied literature to believe that the combination of a propensity score and an…
Rejoinder to discussions on "Instrumental variable estimation of the causal hazard ratio"
Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen +1
We respond to comments on our paper, titled "Instrumental variable estimation of the causal hazard ratio."
Estimation of separable direct and indirect effects in continuous time
Torben Martinussen, Mats Julius Stensrud
Many research questions involve time-to-event outcomes that can be prevented from occurring due to competing events. In these settings, we must be careful about the causal interpre…
Analysis of time-to-event for observational studies: Guidance to the use of intensity models
Per Kragh Andersen, Maja Pohar Perme, Hans C van Houwelingen +6
This paper provides guidance for researchers with some mathematical background on the conduct of time-to-event analysis in observational studies based on intensity (hazard) models.…
Subtleties in the interpretation of hazard ratios
Torben Martinussen, Stijn Vansteelandt, Per Kragh Andersen
The hazard ratio is one of the most commonly reported measures of treatment effect in randomised trials, yet the source of much misinterpretation. This point was made clear by (Her…
IV estimation of causal hazard ratio
Linbo Wang, Eric Tchetgen Tchetgen, Torben Martinussen +1
Cox's proportional hazards model is one of the most popular statistical models to evaluate associations of exposure with a censored failure time outcome. When confounding factors a…
Instrumental variables estimation with competing risk data
Torben Martinussen, Stijn Vansteelandt
Time-to-event analyses are often plagued by both -- possibly unmeasured -- confounding and competing risks. To deal with the former, the use of instrumental variables for effect es…
Instrumental variables estimation of exposure effects on a time-to-event response using structural cumulative survival models
T. Martinussen, S. Vansteelandt, E. J. Tchetgen Tchetgen +1
The use of instrumental variables for estimating the effect of an exposure on an outcome is popular in econometrics, and increasingly so in epidemiology. This increasing popularity…