activity
20172020
most citedTime-dependent mediators in survival analysis: Modelling direct and indirect effects with the additive hazards model

58 citations · 77 across the 4 of their papers we have counts for

collaborators

9 papers

stat.ME202058 cited

Time-dependent mediators in survival analysis: Modelling direct and indirect effects with the additive hazards model

Odd O. Aalen, Mats J. Stensrud, Vanessa Didelez +3

We discuss causal mediation analyses for survival data and propose a new approach based on the additive hazards model. The emphasis is on a dynamic point of view, that is, understa…

stat.ME2020

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…

stat.ME20206 cited

Generalized interpretation and identification of separable effects in competing event settings

Mats J. Stensrud, Miguel A. Hernán, Eric J. Tchetgen Tchetgen +3

In competing event settings, a counterfactual contrast of cause-specific cumulative incidences quantifies the total causal effect of a treatment on the event of interest. However,…

stat.ME20201 cited

Causal inference with limited resources: proportionally-representative interventions

Aaron L. Sarvet, Kerollos N. Wanis, Jessica Young +3

Investigators often evaluate treatment effects by considering settings in which all individuals are assigned a treatment of interest, assuming that an unlimited number of treatment…

stat.ME2019

Separable Effects for Causal Inference in the Presence of Competing Events

Mats J. Stensrud, Jessica G. Young, Vanessa Didelez +2

In time-to-event settings, the presence of competing events complicates the definition of causal effects. Here we propose the new separable effects to study the causal effect of a…

stat.ME2018

On null hypotheses in survival analysis

Mats Julius Stensrud, Kjetil Røysland, Pål Christie Ryalen

The conventional nonparametric tests in survival analysis, such as the log-rank test, assess the null hypothesis that the hazards are equal at all times. However, hazards are hard…