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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...
Tallennettuna:
| Päätekijät: | , , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Publishing Group
2009
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2695697/ https://ncbi.nlm.nih.gov/pubmed/19401693 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/sj.bjc.6605062 |
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