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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
Lee TF,
Chao PJ,
Ting HM,
Chang L,
Huang YJ,
et al.
(2014)
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.
PLOS ONE 9(2): e89700.
https://doi.org/10.1371/journal.pone.0089700