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Volumn 9, Issue 2, 2014, Pages

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

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALCOHOL CONSUMPTION; ARTICLE; CALCULATION; CANCER STAGING; DISEASE SEVERITY; EDUCATIONAL STATUS; FEMALE; HEAD AND NECK CANCER; HUMAN; INCIDENCE; INTENSITY MODULATED RADIATION THERAPY; LEAST ABSOLUTE SHRINKAGE AND SELECTION OPERATOR; MAJOR CLINICAL STUDY; MALE; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PREDICTION; PROGNOSIS; QUALITY OF LIFE; QUESTIONNAIRE; RADIATION RESPONSE; SCORING SYSTEM; SMOKING; STATISTICAL MODEL; VALIDITY; XEROSTOMIA;

EID: 84896541567     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0089700     Document Type: Article
Times cited : (90)

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