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Development and Assessment of a Model for Predicting Individualized Outcomes in Patients With Oropharyngeal Cancer
IMPORTANCE: Recent insights into the biologic characteristics and treatment of oropharyngeal cancer may help inform improvements in prognostic modeling. A bayesian multistate model incorporates sophisticated statistical techniques to provide individualized predictions of survival and recurrence outc...
Autores principales: | Beesley, Lauren J., Shuman, Andrew G., Mierzwa, Michelle L., Bellile, Emily L., Rosen, Benjamin S., Casper, Keith A., Ibrahim, Mohannad, Dermody, Sarah M., Wolf, Gregory T., Chinn, Steven B., Spector, Matthew E., Baatenburg de Jong, Robert J., Dronkers, Emilie A. C., Taylor, Jeremy M. G. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8353539/ https://www.ncbi.nlm.nih.gov/pubmed/34369988 http://dx.doi.org/10.1001/jamanetworkopen.2021.20055 |
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