[HTML][HTML] Statistical inference for state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right …

A Nießl, A Allignol, J Beyersmann, C Mueller - Econometrics and Statistics, 2023 - Elsevier
Abstract The Aalen-Johansen estimator generalizes the Kaplan-Meier estimator for
independently left-truncated and right-censored survival data to estimate the transition …

Statistical inference for state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring

A Nießl, A Allignol, J Beyersmann… - Econometrics and …, 2023 - ideas.repec.org
The Aalen-Johansen estimator generalizes the Kaplan-Meier estimator for independently
left-truncated and right-censored survival data to estimate the transition probability matrix of …

Statistical inference for state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring

A Nießl, A Allignol, J Beyersmann… - Econometrics and …, 2023 - econpapers.repec.org
The Aalen-Johansen estimator generalizes the Kaplan-Meier estimator for independently
left-truncated and right-censored survival data to estimate the transition probability matrix of …

[引用][C] Statistical inference for state occupation and transition probabilities in non-Markov multi-state models subject to both random left-truncation and right-censoring

A Niessl, A Allignol, J Beyersmann… - Econometrics and …, 2023 - oparu.uni-ulm.de
Statistical inference for state occupation and transition probabilities in non-Markov multi-state
models subject to both random left-truncation and right-censoring Toggle navigation English …