6 citations · 9 across the 5 of their papers we have counts for
6 papers
Discrimination performance in illness-death models with interval-censored disease data
Marta Spreafico, Anja J. Rueten-Budde, Hein Putter +1
In clinical studies, the illness-death model is often used to describe disease progression. A subject starts disease-free, may develop the disease and then die, or die directly. In…
A general approach to fitting multistate cure models based on an extended-long-format data structure
Yilin Jiang, Harm van Tinteren, Marta Fiocco
A multistate cure model is a statistical framework used to analyze and represent the transitions individuals undergo between different states over time, accounting for the possibil…
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…
Causal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in osteosarcoma
Marta Spreafico, Francesca Ieva, Marta Fiocco
This study aims to analyse the effects of reducing Received Dose Intensity (RDI) in chemotherapy treatment for osteosarcoma patients on their survival by using a novel approach. In…
SUrvival Control Chart EStimation Software in R: the success package
Daniel Gomon, Marta Fiocco, Hein Putter +1
Monitoring the quality of statistical processes has been of great importance, mostly in industrial applications. Control charts are widely used for this purpose, but often lack the…
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
Marta Spreafico, Francesca Ieva, Marta Fiocco
Due to the presence of multiple types of adverse events with different levels of severity, the analysis of longitudinal toxicity data is a difficult task in cancer studies. In this…