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[ABG14] A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model
Revue Internationale avec comité de lecture : Journal Lifetime data analysis, vol. 20(4), pp. 495-513, 2014, (doi:10.1007/s10985-013-9269-1)Mots clés: Left-truncation ; Bivariate survival; Nosocomial Infection ;Markov assumption ; Multi-state model
Résumé:
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 hospital discharge of non-infected patients as a competing risk. An illness-death model would allow to further study hospital outcomes of infected patients. Such a model typically relies on a Markov assumption. However, it is conceivable that the future course of an infected patient does not only depend on the time since hospital admission and current infection status but also on the time since infection. We demonstrate how a modified competing risks model can be used for nonparametric estimation of transition probabilities when the Markov assumption is violated.
Commentaires:
http://link.springer.com/article/10.1007/s10985-013-9269-1
http://arxiv.org/pdf/1304.2293v1.pdf
Equipe:
msdma
Collaboration:
FDM
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BibTeX
| @article { | |||
| ABG14, | |||
| title | = | "{A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model}", | |
| author | = | "A. Allignol and J. Beyersmann and T. Gerds and A. Latouche", | |
| journal | = | "Lifetime data analysis", | |
| year | = | 2014, | |
| volume | = | 20, | |
| number | = | 4, | |
| pages | = | "495-513", | |
| note | = | "{http://link.springer.com/article/10.1007/s10985-013-9269-1 http://arxiv.org/pdf/1304.2293v1.pdf}", | |
| doi | = | "10.1007/s10985-013-9269-1", | |
| } | |||
