Bias and Sensitivity Analysis When Estimating Treatment Effects from the Cox Model with Omitted Covariates

SUMMARY: Omission of relevant covariates can lead to bias when estimating treatment or exposure effects from survival data in both randomized controlled trials and observational studies. This paper presents a general approach to assessing bias when covariates are omitted from the Cox model. The prop...

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Detalles Bibliográficos
Autores principales: Lin, Nan Xuan, Logan, Stuart, Henley, William Edward
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BlackWell Publishing Ltd 2013
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230475/
https://www.ncbi.nlm.nih.gov/pubmed/24224574
http://dx.doi.org/10.1111/biom.12096

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230475/
https://www.ncbi.nlm.nih.gov/pubmed/24224574
http://dx.doi.org/10.1111/biom.12096

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