most citedEstimating state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring

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

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stat.ME2020★ 3 cited

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…

stat.ME2013

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…