Regularized parametric survival modeling to improve risk prediction models
(2023)
Journal Article
Hoogland, J., Debray, T., Crowther, M., Riley, R., IntHout, J., Reitsma, J., & Zwinderman, A. (2024). Regularized parametric survival modeling to improve risk prediction models. Biometrical Journal, 66(1), Article 2200319
We propose to combine the benefits of flexible parametric survival modeling and regularization to improve risk prediction modeling in the context of time-to-event data. Thereto, we introduce ridge, lasso, elastic net, and group lasso penalties for bo... Read More about Regularized parametric survival modeling to improve risk prediction models.