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20152026
most citedScaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics

16 citations · 49 across the 38 of their papers we have counts for

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Showing 2023Show all

9 papers · 1 filter

stat.AP2023

Integrating state-sequence analysis to uncover dynamic drug-utilization patterns to profile heart failure patients

Nicole Fontana, Laura Savaré, Francesca Ieva

Globally, the incidence of heart failure is increasing, and its principal treatment involves drug therapy. However, widespread non-adherence to therapies is prevalent among heart f…

stat.AP2023

Estimation of Dynamic Origin-Destination Matrices in a Railway Transportation Network integrating Ticket Sales and Passenger Count Data

Greta Galliani, Piercesare Secchi, Francesca Ieva

Accurately estimating Origin-Destination (OD) matrices is a topic of increasing interest for efficient transportation network management and sustainable urban planning. Traditional…

stat.ME2023

Joint modelling of recurrent and terminal events with discretely-distributed non-parametric frailty: application on re-hospitalizations and death in heart failure patients

Chiara Masci, Marta Spreafico, Francesca Ieva

In the context of clinical and biomedical studies, joint frailty models have been developed to study the joint temporal evolution of recurrent and terminal events, capturing both t…

stat.ME2023

Dynamic treatment effect phenotyping through functional survival analysis

Caterina Gregorio, Giovanni Baj, Giulia Barbati +1

In recent years, research interest in personalised treatments has been growing. However, treatment effect heterogeneity and possibly time-varying treatment effects are still often…

cs.LG2023★ 16 cited

Scaling Survival Analysis in Healthcare with Federated Survival Forests: A Comparative Study on Heart Failure and Breast Cancer Genomics

Alberto Archetti, Francesca Ieva, Matteo Matteucci

Survival analysis is a fundamental tool in medicine, modeling the time until an event of interest occurs in a population. However, in real-world applications, survival data are oft…

stat.AP2023★ 6 cited

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…

stat.AP2023★ 2 cited

A latent class approach to assess the effects of dynamic adherence to polytherapy in heart failure patients

Nicole Fontana, Laura Savaré, Emanuele Di Angelantonio +1

Heart failure (HF) treatment relies heavily on pharmacotherapy, particularly combining multiple therapies as recommended by clinical guidelines. However, non-adherence to prescribe…

stat.ME2023

Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach

Alessandra Ragni, Chiara Masci, Francesca Ieva +1

We introduce a novel statistical significance-based approach for clustering hierarchical data using semi-parametric linear mixed-effects models designed for responses with laws in…

stat.AP2023

An Evaluation of Researchers' Migration Patterns in Europe using Digital Trace Data

Jacopo Ghirri, Marta Mastropietro, Simone Vantini +2

The comprehension of the mechanisms behind the mobility of skilled workers is of paramount importance for policy making. The lacking nature of official measurements motivates the u…