58 citations · 116 across the 14 of their papers we have counts for
16 papers
Robust estimation of occupation probabilities for coarsened multistate processes
Niklas Nyboe Maltzahn, Gergely Dániel Lukáts, Kjetil Røysland
We derive augmented inverse probability weighted estimators for occupation probabilities of multistate models under two levels of coarsening; right-censoring and baseline exposure.…
On causal inference with marked point process data
Pål Christie Ryalen, Mats Julius Stensrud, Kjetil Røysland
We define dynamic treatment regimes and associated potential outcomes for data described by marked point processes (MPPs). These definitions motivate MPP analogues of the commonly…
Hypothetical Treatment Accelerations: Estimating Causal Effects of Kidney Transplants from Observational Data
Haris Fawad, Pål Ryalen, Vasiliki Tsarpali +2
Patients with end-stage kidney disease can expect to wait for several years before they receive a transplant, all the while their health deteriorates. How would the survival change…
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…
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…
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…