One major goal in clinical applications of multi-state models is the estimation of transition probabilities. The usual nonparametric estimator of the transition matrix for non-homogeneous Markov processes is the Aalen-Johansen estimator (Aalen and Johansen 1978 [1]). In this paper we propose a modification of the Aalen-Johansen estimator in the illness-death model based on presmoothing. The consistency of the proposed estimators is formally established. Simulations show that the presmoothed estimators may be much more efficient than the Aalen-Johansen estimator. A real data illustration is included
One major goal in clinical applications of multi-state models is the estimation of transition probab...
Multi-state models can be successfully used for describing complicated event history data, for examp...
One important goal in clinical applications of multi-state models is the estimation of transition pr...
One major goal in clinical applications of multi-state models is the estimation of transition probab...
One major goal in clinical applications of multi-state models is the estimation of transition probab...
One major goal in clinical applications of multi-state models is the estimation of transition probab...
The Aalen-Johansen estimator for calculation of transition probabilities in a multi-state model, bui...
Multi-state models are often used for modeling complex event history data. In these models the estim...
Multi-state models can be successfully used for modelling complex event history data. In these model...
Multi-state models are increasingly being used to model complex epidemiological and clinical outcome...
Development and application of statistical models for medical scientific researc
The topic non-parametric estimation of transition probabilities in non-Markov multi-state models has...
The topic non-parametric estimation of transition probabilities in non-Markov multi-state models has...
In this paper the R package TP.idm to compute an empirical transition probability matrix for the ill...
Non-parametric estimation of the transition probabilities in multi-state models is considered for no...
One major goal in clinical applications of multi-state models is the estimation of transition probab...
Multi-state models can be successfully used for describing complicated event history data, for examp...
One important goal in clinical applications of multi-state models is the estimation of transition pr...
One major goal in clinical applications of multi-state models is the estimation of transition probab...
One major goal in clinical applications of multi-state models is the estimation of transition probab...
One major goal in clinical applications of multi-state models is the estimation of transition probab...
The Aalen-Johansen estimator for calculation of transition probabilities in a multi-state model, bui...
Multi-state models are often used for modeling complex event history data. In these models the estim...
Multi-state models can be successfully used for modelling complex event history data. In these model...
Multi-state models are increasingly being used to model complex epidemiological and clinical outcome...
Development and application of statistical models for medical scientific researc
The topic non-parametric estimation of transition probabilities in non-Markov multi-state models has...
The topic non-parametric estimation of transition probabilities in non-Markov multi-state models has...
In this paper the R package TP.idm to compute an empirical transition probability matrix for the ill...
Non-parametric estimation of the transition probabilities in multi-state models is considered for no...
One major goal in clinical applications of multi-state models is the estimation of transition probab...
Multi-state models can be successfully used for describing complicated event history data, for examp...
One important goal in clinical applications of multi-state models is the estimation of transition pr...