3 papers
stat.ME2026
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.…
stat.ME2026
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…
stat.ME2024
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…