Presmoothing the transition probabilities in the illness-death model
One major goal in clinical applications of multi-state models is the estimation of transition probabilities. In a recent paper, Meira-Machado et al. (2006) introduce a substitute for the Aalen–Johansen estimator in the case of a non-Markov illness–death model. The idea behind their estimator is to w...
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| Other Authors: | , |
| Format: | article |
| Language: | eng |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1822/16201 |
| Country: | Portugal |
| Oai: | oai:repositorium.sdum.uminho.pt:1822/16201 |
| Summary: | One major goal in clinical applications of multi-state models is the estimation of transition probabilities. In a recent paper, Meira-Machado et al. (2006) introduce a substitute for the Aalen–Johansen estimator in the case of a non-Markov illness–death model. The idea behind their estimator is to weight the data by the Kaplan–Meier weights pertaining to the distribution of the total survival time of the process. In this paper we propose a modification of Meira-Machado et al. (2006) estimator based on presmoothing. Consistency is established. We investigate the finite sample performance of the new estimator through simulations. Data from a study on colon cancer are used for illustration purposes. |
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