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Nonproportional hazards and unobserved heterogeneity in clustered survival data: When can we tell the difference?
Multivariate survival data are frequently encountered in biomedical applications in the form of clustered failures (or recurrent events data). A popular way of analyzing such data is by using shared frailty models, which assume that the proportional hazards assumption holds conditional on an unobser...
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| Publié dans: | Stat Med |
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| Auteurs principaux: | , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
John Wiley and Sons Inc.
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6619282/ https://ncbi.nlm.nih.gov/pubmed/31050028 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8171 |
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