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Delayed treatment effects, treatment switching and heterogeneous patient populations: How to design and analyze RCTs in oncology
In the analysis of survival times, the logrank test and the Cox model have been established as key tools, which do not require specific distributional assumptions. Under the assumption of proportional hazards, they are efficient and their results can be interpreted unambiguously. However, delayed tr...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
John Wiley & Sons, Inc.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818232/ https://www.ncbi.nlm.nih.gov/pubmed/32830428 http://dx.doi.org/10.1002/pst.2062 |