Variable selection in frailty mixture cure models via penalized likelihood estimation

This article focuses on a specific statistical method (penalized likelihood estimation) for variable selection within a particular type of statistical model (frailty mixture cure models). The application likely pertains to survival analysis, potentially in a medical or epidemiological context. The use of 'ArXiv' as the source indicates this is a pre-print or research paper, suggesting it's a contribution to academic knowledge.