2 papers
stat.ME2026
Complete Cancer Prevalence Predictions via LASSO Regularization and Flexible Parametric Survival Cure Models
Fabrizio Di Mari, Roberta De Angelis, Therese ML Andersson +5
Cancer prevalence is a key measure of disease burden, and accurate projections are essential for healthcare planning and resource allocation. The Prevalence Incidence Analysis Mode…
stat.ME2025
Flexible Estimation of the Heterogeneous Non-Parametric Component in a Relative Survival Cure Model
Fabrizio Di Mari, Roberto Rocci, Silvia Rossi +2
Estimating the cure fraction in a diseased population, especially in the presence of competing mortality causes, is crucial for both patients and clinicians. It offers a valuable m…