Using multivariate regression model with least absolute shrinkage and selection operator (LASSO) to predict the incidence of Xerostomia after intensity-modulated radiotherapy for head and neck cancer.
<h4>Purpose</h4>The aim of this study was to develop a multivariate logistic regression model with least absolute shrinkage and selection operator (LASSO) to make valid predictions about the incidence of moderate-to-severe patient-rated xerostomia among head and neck cancer (HNC) patient...
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| Auteurs principaux: | , , , , , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2014
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/7cc338c7e96c40adb68d93ff2f34ced3 |
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