3 papers
stat.ME2025
Dynamic Prediction in Mixture Cure Models: A Model-Based Landmarking Approach
Marta Cipriani, Marco Alfò, Mirko Signorelli
Mixture cure models are widely used in survival analysis when a portion of patients is considered cured and is no longer at risk for the event of interest. In clinical settings, dy…
stat.ME2024
A flexible parametric approach to synthetic patients generation using health data
Marta Cipriani, Lorenzo Di Rocco, Maria Puopolo +1
Enhancing reproducibility and data accessibility is essential to scientific research. However, ensuring data privacy while achieving these goals is challenging, especially in the m…
stat.ME2024
A multiple imputation approach to distinguish curative from life-prolonging effects in the presence of missing covariates
Marta Cipriani, Marta Fiocco, Marco Alfò +2
Medical advances have increased cancer survival rates and the possibility of finding a cure. Hence, it is crucial to evaluate the impact of treatments both in terms of cure and pro…