2 citations · 2 across the 3 of their papers we have counts for
3 papers
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…