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Functional Data Analysis Applied to Modeling of Severe Acute Mucositis and Dysphagia Resulting From Head and Neck Radiation Therapy
PURPOSE: Current normal tissue complication probability modeling using logistic regression suffers from bias and high uncertainty in the presence of highly correlated radiation therapy (RT) dose data. This hinders robust estimates of dose-response associations and, hence, optimal normal tissue—spari...
Autores principales: | Dean, Jamie A., Wong, Kee H., Gay, Hiram, Welsh, Liam C., Jones, Ann-Britt, Schick, Ulrike, Oh, Jung Hun, Apte, Aditya, Newbold, Kate L., Bhide, Shreerang A., Harrington, Kevin J., Deasy, Joseph O., Nutting, Christopher M., Gulliford, Sarah L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5653218/ https://www.ncbi.nlm.nih.gov/pubmed/27788955 http://dx.doi.org/10.1016/j.ijrobp.2016.08.013 |
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