3 citations · 3 across the 3 of their papers we have counts for
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Estimating state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring
Alexandra Niessl, Arthur Allignol, Carina Mueller +1
The Aalen-Johansen estimator generalizes the Kaplan-Meier estimator for independently left-truncated and right-censored survival data to estimating the transition probability matri…
Joint modelling of progression-free and overall survival and computation of correlation measures
Matthias Meller, Jan Beyersmann, Kaspar Rufibach
In this paper, we derive the joint distribution of progression-free and overall survival as a function of transition probabilities in a multistate model. No assumptions on copulae…
A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model
Arthur Allignol, Jan Beyersmann, Thomas Gerds +1
Competing risks model time to first event and type of first event. An example from hospital epidemiology is the incidence of hospital-acquired infection, which has to account for h…