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

Lignende værker

• LASSO NTCP predictors for the incidence of xerostomia in patients with head and neck squamous cell carcinoma and nasopharyngeal carcinoma
  af: Lee, Tsair-Fwu, et al.
  Udgivet: (2014)
• Climate Prediction of Tropical Cyclone Activity in the Vicinity of Taiwan Using the Multivariate Least Absolute Deviation Regression Method
  af: Pao-Shin Chu, et al.
  Udgivet: (2007-01-01)
• Patient- and therapy-related factors associated with the incidence of xerostomia in nasopharyngeal carcinoma patients receiving parotid-sparing helical tomotherapy
  af: Lee, Tsair-Fwu, et al.
  Udgivet: (2015)
• Developing Multivariable Normal Tissue Complication Probability Model to Predict the Incidence of Symptomatic Radiation Pneumonitis among Breast Cancer Patients
  af: Lee, Tsair-Fwu, et al.
  Udgivet: (2015)
• Combining least absolute shrinkage and selection operator (LASSO) and principal-components analysis for detection of gene-gene interactions in genome-wide association studies
  af: D'Angelo, Gina M, et al.
  Udgivet: (2009)