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A review of the use of time‐varying covariates in the Fine‐Gray subdistribution hazard competing risk regression model
In survival analysis, time‐varying covariates are covariates whose value can change during follow‐up. Outcomes in medical research are frequently subject to competing risks (events precluding the occurrence of the primary outcome). We review the types of time‐varying covariates and highlight the eff...
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| Foilsithe in: | Stat Med |
|---|---|
| Main Authors: | , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
John Wiley and Sons Inc.
2019
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| Ábhair: | |
| Rochtain Ar Líne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6916372/ https://ncbi.nlm.nih.gov/pubmed/31660633 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8399 |
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