220 citations · 782 across the 19 of their papers we have counts for
12 papers · 1 filter
Variable selection in linear regression models: choosing the best subset is not always the best choice
Moritz Hanke, Louis Dijkstra, Ronja Foraita +1
Variable selection in linear regression settings is a much discussed problem. Best subset selection (BSS) is often considered the intuitive 'gold standard', with its use being rest…
Graphical criteria for the identification of marginal causal effects in continuous-time survival and event-history analyses
Kjetil Røysland, Pål Ryalen, Mari Nygård +1
We consider continuous-time survival or more general event-history settings, where the aim is to infer the causal effect of a time-dependent treatment process. This is formalised a…
Parameterizing and Simulating from Causal Models
Robin J. Evans, Vanessa Didelez
Many statistical problems in causal inference involve a probability distribution other than the one from which data are actually observed; as an additional complication, the object…
Multiple imputation and test-wise deletion for causal discovery with incomplete cohort data
Janine Witte, Ronja Foraita, Vanessa Didelez
Causal discovery algorithms estimate causal graphs from observational data. This can provide a valuable complement to analyses focussing on the causal relation between individual t…
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…
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,…