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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley and Sons Inc.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6619282/ https://www.ncbi.nlm.nih.gov/pubmed/31050028 http://dx.doi.org/10.1002/sim.8171 |