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...

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Detalles Bibliográficos
Autores principales: Azzato, E M, Greenberg, D, Shah, M, Blows, F, Driver, K E, Caporaso, N E, Pharoah, P D P
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2009
Materias:
Epidemiology
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

Internet

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

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