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20162026
most citedTime-dependent mediators in survival analysis: Modelling direct and indirect effects with the additive hazards model

58 citations · 177 across the 41 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

stat.ME2020★ 58 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.ME2020★ 1 cited

Conditional separable effects

Mats J. Stensrud, James M. Robins, Aaron Sarvet +2

Researchers are often interested in treatment effects on outcomes that are only defined conditional on a post-treatment event status. For example, in a study of the effect of diffe…

stat.ME2020★ 6 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.ME2020★ 1 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…