APA (7th ed.) Citation

Lee, T., Chao, P., Ting, H., Chang, L., Huang, Y., Wu, J., . . . Leung, S. W. (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. Public Library of Science (PLoS).

Chicago Style (17th ed.) Citation

Lee, Tsair-Fwu, et al. 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. Public Library of Science (PLoS), 2014.

MLA (8th ed.) Citation

Lee, Tsair-Fwu, et al. 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. Public Library of Science (PLoS), 2014.