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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...

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Библиографические подробности
Опубликовано в: :Int J Radiat Oncol Biol Phys
Главные авторы: 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.
Формат: Artigo
Язык:Inglês
Опубликовано: 2016
Предметы:
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC5653218/
https://ncbi.nlm.nih.gov/pubmed/27788955
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijrobp.2016.08.013
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