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Prevalent cases in observational studies of cancer survival: do they bias hazard ratio estimates?
Observational epidemiological studies often include prevalent cases recruited at various times past diagnosis. This left truncation can be dealt with in non-parametric (Kaplan–Meier) and semi-parametric (Cox) time-to-event analyses, theoretically generating an unbiased hazard ratio (HR) when the pro...
| Autores principales: | , , , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group
2009
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2695697/ https://www.ncbi.nlm.nih.gov/pubmed/19401693 http://dx.doi.org/10.1038/sj.bjc.6605062 |