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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...
Autores principales: | Lin, Nan Xuan, Logan, Stuart, Henley, William Edward |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2013
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Materias: | |
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 |
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