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Marginal models for clustered time to event data with competing risks using pseudovalues

Many time-to-event studies are complicated by the presence of competing risks and by nesting of individuals within a cluster, such as patients in the same center in a multi-center study. Several methods have been proposed for modeling the cumulative incidence function with independent observations....

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Enregistré dans:
Détails bibliographiques
Auteurs principaux: Logan, Brent R., Zhang, Mei-Jie, Klein, John P.
Format: Artigo
Langue:Inglês
Publié: 2011
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC2902638/
https://ncbi.nlm.nih.gov/pubmed/20377579
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01416.x
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