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Predicting progression-free survival after systemic therapy in advanced head and neck cancer: Bayesian regression and model development
BACKGROUND: Advanced head and neck squamous cell carcinoma (HNSCC) is associated with a poor prognosis, and biomarkers that predict response to treatment are highly desirable. The primary aim was to predict progression-free survival (PFS) with a multivariate risk prediction model. METHODS: Experimen...
Autores principales: | Barber, Paul R, Mustapha, Rami, Flores-Borja, Fabian, Alfano, Giovanna, Ng, Kenrick, Weitsman, Gregory, Dolcetti, Luigi, Suwaidan, Ali Abdulnabi, Wong, Felix, Vicencio, Jose M, Galazi, Myria, Opzoomer, James W, Arnold, James N, Thavaraj, Selvam, Kordasti, Shahram, Doyle, Jana, Greenberg, Jon, Dillon, Magnus T, Harrington, Kevin J, Forster, Martin, Coolen, Anthony CC, Ng, Tony |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815805/ https://www.ncbi.nlm.nih.gov/pubmed/36562609 http://dx.doi.org/10.7554/eLife.73288 |
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