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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...
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| Publicat a: | Biometrics |
|---|---|
| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BlackWell Publishing Ltd
2013
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4230475/ https://ncbi.nlm.nih.gov/pubmed/24224574 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12096 |
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